Including neural network post-processing filter SEI messages in sample sets in media files

Abstract

A mechanism for processing video data is disclosed. The mechanism includes determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-function video coding (VVC) bitstream, specified to be included in a track in a media file for an advanced video coding (AVC) bitstream, and is specified to be included in a track in a media file for a High Efficiency Video Coding (HEVC) bitstream. A conversion between the visual media data and the bitstream is performed based on the NNPF.

Description

[0001] Cross-references to related applications

[0002] This application claims priority and benefit to U.S. Provisional Patent Application 63 / 512,776, filed July 10, 2023. All of the aforementioned patent applications are incorporated herein by reference in their entirety. Technical Field

[0003] This patent document relates to the generation, storage, and use of digital audio and video media information in file formats. Background Technology

[0004] Digital video consumes the largest share of bandwidth on the internet and other digital communication networks. As the number of connected user devices capable of receiving and displaying video increases, the bandwidth demand for digital video is likely to continue to grow. Summary of the Invention

[0005] The first aspect relates to a method for processing video data, comprising: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-function video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; and performing a conversion between visual media data and the bitstream based on said NNPF.

[0006] The second aspect relates to an apparatus for processing video data, comprising: a processor; and a non-transitory memory having instructions thereon, wherein the instructions, when executed by the processor, cause the processor to perform any of the aspects described above.

[0007] The third aspect relates to a non-transitory computer-readable medium comprising a computer program product for use by a video codec device, the computer program product including computer-executable instructions stored on the non-transitory computer-readable medium such that when the computer-executable instructions are executed by a processor, the video codec device performs the method of any of the preceding aspects.

[0008] The fourth aspect relates to a non-transitory computer-readable recording medium storing a bitstream of video generated by a method performed by a video processing apparatus, wherein the method comprises: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-functional video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; and generating a bitstream based on the determination.

[0009] The fifth aspect relates to a method for storing a bitstream of video, comprising: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-functional video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; generating a bitstream based on the determination; and storing the bitstream in a non-transitory computer-readable recording medium.

[0010] For clarity, any of the embodiments described above may be combined with any one or more other foregoing embodiments to create new embodiments within the scope of this disclosure.

[0011] These and other features will be more clearly understood through the following detailed description with reference to the accompanying drawings and claims. Attached Figure Description

[0012] To gain a more complete understanding of this disclosure, reference is now made to the following brief description, taken in conjunction with the accompanying drawings and detailed description, wherein like reference numerals denote like parts.

[0013] Figure 1 This is a block diagram illustrating an example video processing system.

[0014] Figure 2 This is a block diagram of an example video processing device.

[0015] Figure 3 This is a flowchart of an example method for video processing.

[0016] Figure 4 This is a block diagram illustrating an example video codec system.

[0017] Figure 5 This is a block diagram showing an example encoder.

[0018] Figure 6 This is a block diagram showing an example decoder.

[0019] Figure 7 This is a schematic diagram of an example encoder.

[0020] Figure 8 This is a flowchart of an example method for video processing. Detailed Implementation

[0021] First, it should be understood that although illustrative implementations of one or more embodiments are provided below, the disclosed systems and / or methods can be implemented using any number of techniques, whether currently known or yet to be developed. This disclosure should not be limited in any way to the illustrative implementations, drawings, and techniques described below, including the exemplary designs and implementations described herein, but rather modifications can be made within the scope of the appended claims and their equivalents.

[0022] 1. Preliminary Discussion

[0023] This document relates to media file formats. Specifically, this disclosure relates to the storage of video bitstreams associated with Neural Network Post-Processing Filters (NNPF) in media files, including NNPF Supplemental Enhancement Information (SEI) messages in NNPF sample groups, and extending support for NNPF sample groups from VVC to AVC and HEVC and their extensions. These ideas can be applied individually or in various combinations to media files of any media file format, such as the ISO Basic Media File Format (ISOBMFF) and file formats derived from ISOBMFF, such as the carrying of structured video in Network Abstraction Layer (NAL) units within ISOBMFF.

[0024] 2. Further discussion

[0025] 2.1 Video Coding and Decoding Standards

[0026] Video coding standards have evolved primarily through the development of standards by the Telecommunication Standardization Sector of the International Telecommunication Union (ITU-T) and the International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC). ITU-T developed the H.261 and H.263 standards, ISO / IEC developed the Moving Picture Experts Group (MPEG)-1 and MPEG-4 Vision, and the two organizations jointly developed the H.262 / MPEG-2 video standard and the H.264 / MPEG-4 Advanced Video Coding (AVC) standard and the H.265 / High Efficiency Video Coding (HEVC) standard[1]. Starting with H.262, video coding standards are based on a hybrid video coding architecture, which utilizes temporal prediction plus transform coding. In order to explore video coding technologies other than High Efficiency Video Coding (HEVC), the Joint Video Exploration Team (JVET) was established by the Video Coding Experts Group (VCEG) and the Moving Picture Experts Group (MPEG). Furthermore, the method has been adopted by JVET and incorporated into reference software called the Joint Exploration Model (JEM)[2]. When the Multi-Functional Video Coding (VVC) project was officially launched, JVET was later renamed the Joint Video Experts Group (JVET). VVC[3] is a coding standard that aims to reduce the bit rate by 50% compared to HEVC.

[0027] The Multi-Functional Video Coding (VVC) standard (ITU-T H.266 | ISO / IEC 23090-3) [3] and the associated Multi-Functional Supplemental Enhancement Information (VSEI) standard (ITU-T H.274 | ISO / IEC 23002-7) [4] are designed for use in the widest range of applications, including simple use such as television broadcasting, video conferencing or playback from storage media, as well as more advanced use cases such as adaptive bitrate streaming, video region extraction, synthesis and merging of content from multiple codec video bitstreams, multi-view video, scalable layered coding and decoding and viewport-adaptive 360° immersive media.

[0028] The Basic Video Codec (EVC) standard (ISO / IEC 23094-1) is another video codec standard developed by MPEG.

[0029] 2.2 File Format Standards

[0030] Media streaming applications are typically based on Internet Protocol (IP), Transmission Control Protocol (TCP), and Hypertext Transfer Protocol (HTTP) transport methods and often rely on file formats such as ISO Basic Media File Format (ISOBMFF) [5]. One such streaming system is Dynamic Adaptive Streaming over HTTP (DASH) [6]. In order to use video formats with ISOBMFF and DASH, a video format-specific file format specification, also known as the Network Abstraction Layer File Format (NALFF) [7], which includes the file format specifications of all NAL unit-based video codecs (such as AVC, HEVC, VVC, and their extensions), will be needed to encapsulate video content in ISOBMFF tracks as well as DASH representations and segments. Important information about the video bitstream (e.g., grade, layer, and level, etc.) will need to be exposed as file format-level metadata and / or DASH Media Presentation Description (MPD) for content selection purposes, such as for selecting appropriate media segments, both for initialization at the start of a streaming session and for stream adaptation during a streaming session. Similarly, in order to use the image format with ISOBMFF, image format-specific file format specifications (such as AVC image file format and HEVC image file format in [8]) will be required.

[0031] 2.3 Supplemental Enhancement Information (SEI) Message

[0032] SEI messages assist in processes related to decoding, display, or other purposes. However, SEI messages are not essential for constructing luma or chroma samples during the decoding process. Standard-compliant decoders do not need to process this information to achieve output order consistency. Some SEI messages are necessary for checking bitstream consistency and output timing decoder consistency. Other SEI messages are not necessary for checking bitstream consistency.

[0033] Annex D of AVC, HEVC, and VVC specifies the syntax and semantics of the SEI message payload for some SEI messages, and / or specifies the use of SEI messages and Video Availability Information (VUI) parameters. The syntax and semantics of SEI messages and VUI parameters are specified in other standards such as ITU-T H.274 | ISO / IEC 23002-7.

[0034] Annex D of AVC, HEVC, and VVC specifies the syntax and semantics of SEI message payloads for some SEI messages, and specifies the use of SEI messages and / or VUI parameters. The syntax and semantics of SEI messages and / or VUI parameters are specified in other standards such as ITU-T H.274 | ISO / IEC 23002-7.

[0035] Two examples of SEI messages are the NNPFC SEI message and the NNPFA SEI message, collectively referred to as the NNPF SEI message. JVET-AD2006[9] includes specifications for two SEI messages used for signaling of neural network post-processing filters, namely the Neural Network Post-Processing Filter Feature (NNPFC) SEI message and the Neural Network Post-Processing Filter Activation (NNPFA) SEI message. JVET-AD2005

[10] includes specifications for the use of these two NNPFC SEI messages in VVC bitstreams. In addition, JVET-AE0101

[11] includes specifications for enabling the use of NNPFC SEI messages and NNPFA SEI messages in AVC and HEVC bitstreams.

[0036] 2.4 Storage of video bitstreams associated with neural network post-processing filters in media files

[0037] The MPEG WG03 output document N0875

[12] includes a specification for the storage mechanism of video bitstreams associated with neural network post-processing filters in media files, as shown below, which specifies two sample groups, named NNPFC sample group and NNPFA sample group, collectively referred to as NNPF sample group.

[0038] 11.4.2 Sample Group of Characteristics of Neural Network Post-processing Filter

[0039] 11.4.22.1 Definition

[0040] The Neural Network Post-Processing Filter (NNPFC) SEI message is specified in ISO / IEC 23002-7. The NNPFC SEI message can be included in the VVC bitstream.

[0041] The NNPFC SEI message contains an nnpfc_id syntax element, which is an identifier that can be used to identify the post-processing filter involved in the NNPFC SEI message.

[0042] The NNPFC SEI message identifies the applicable post-processing filter associated with the nnpfc_id value. The Neural Network Post-Processing Filter Activation (NNPFA) SEI message indicates the use of an applicable post-processing filter with a different nnpfc_id value for a specific image.

[0043] The NNPFC SEI message specifies the base post-processing filter or contains neural network updates. The base post-processing filter is identified by the first NNPFC SEI message in the codec layer video sequence (CLVS) with a specific nnpfc_id value, in decoding order. If no subsequent NNPFC SEI message has the same nnpfc_id value as the base post-processing filter, the applicable post-processing filter is the same as the base post-processing filter. Otherwise, the applicable post-processing filter is obtained by applying the updates provided as ISO / IEC 15938-17 bitstream in subsequent NNPFC SEI messages to the base post-processing filter.

[0044] All instances of SampleToGroupBox for NNPFC sample groups must include the grouping_type_parameter. For NNPFC sample groups, the grouping_type_parameter field is defined as follows:

[0045] {

[0046] unsigned int(1) filter_update_flag;

[0047] unsigned int(31) filter_id;

[0048] }

[0049] A filter_update_flag value of 1 indicates that all sample group description entries referenced by the SampleToGroupBox contain an NNPFC SEI message that provides an update on top of the underlying post-processing filter. A filter_update_flag value of 0 indicates that all sample group description entries referenced by the SampleToGroupBox contain an NNPFC SEI message that specifies the underlying post-processing filter.

[0050] filter_id indicates that all sample group description entries referenced by this SampleToGroupBox contain NNPFC SEI messages with nnpfc_id equal to filter_id.

[0051] Note: As a result of the `grouping_type_parameter` definition, post-processing filters for different `nnpfc_id` values ​​are specified in different instances of `SampleToGroupBox`. Furthermore, one `SampleToGroupBox` specifies multiple base post-processing filters for a particular `nnpfc_id` value, while another `SampleToGroupBox` (if any) specifies filter updates for the same `nnpfc_id` value. Therefore, it is possible to indicate that the base post-processing filters persist for a longer period compared to any filter updates.

[0052] When a sample is not mapped to an NnpfcSeiEntry in a SampleToGroupBox with filter_update_flag equal to 0 and a specific filter_id, the sample should not be mapped to an NnpfcSeiEntry in a SampleToGroupBox with filter_update_flag equal to 1 and the same filter_id.

[0053] When a track contains NNPFC sample groups, NNPFC SEI messages should not exist within the samples of that track. When a VVC track has an associated VVC non-video codec layer (non-VCL) track that contains NNPFC sample groups, NNPFC SEI messages should not exist within the samples of that VVC track.

[0054] When the reader supports NNPFC sample groups, the reader must perform the following implicit insertion of prefix SEI NAL cells as part of the bitstream reconstruction:

[0055] — When a sample is mapped to at least one NnpfcSeiEntry where filter_update_flag equals 0, and the sample is

[0056] —Synchronous sampling points, or

[0057] —The first sample in the sample sequence associated with the same sample entry, or

[0058] —The first sample in the sequence of samples mapped to the same NnpfcSeiEntry that has filter_update_flag equal to 0 and a specific filter_id value filterIdBase.

[0059] The sample implicitly contains a prefixed SEI NAL unit for each layer contained in the track and each filter_id value mapped to the sample. The prefixed SEI NAL unit contains an NNPFC SEI message from an NnpfcSeiEntry where filter_update_flag equals 0, followed by an NNPFC SEI message (if any) from an NnpfcSeiEntry mapped to the sample where filter_update_flag equals 1 and filter_id equals filterIdBase.

[0060] — When the sample is the first sample in the sequence of samples mapped to the same NnpfcSeiEntry with filter_update_flag equal to 1 and a specific filter_id value filterIdUpdate, and the sample is

[0061] —Not synchronous samples, and

[0062] —Not the first sample in the sample sequence associated with the same sample entry, and

[0063] —Not the first sample in the sequence of samples mapped to the same NnpfcSeiEntry where filter_update_flag equals 0 and filter_id equals filterIdUpdate.

[0064] The sample implicitly contains a prefix SEI NAL unit for each layer contained in the track and each filter_id value mapped to the sample, and the prefix SEI NAL unit contains an NNPFC SEI message from an NnpfcSeiEntry where filter_update_flag is equal to 1.

[0065] 11.4.22.2 Syntax

[0066] aligned(8) class NnpfcSeiEntry() extends VisualSampleGroupEntry('nfcs')

[0067] {

[0068] unsigned int(8) nnpfc_sei_data_byte[];

[0069] }

[0070] 11.4.22.3 Semantics

[0071] nnpfc_sei_data_byte[] is a byte array that must contain exactly one complete NNPFC SEI message as specified in ISO / IEC 23002-7.

[0072] 11.4.23 Activation Sample Group of Neural Network Post-processing Filter

[0073] 11.4.23.1 Definition

[0074] The Neural Network Post-Processing Filter Activation (NNPFA) SEI message is specified in ISO / IEC 23002-7. The NNPFASEI message can be included in the VVC bitstream.

[0075] The NNPFA SEI message contains the nnpfa_target_id syntax element, which is an identification number that can be used to identify the post-processing filter involved in the NNPFA SEI message.

[0076] The NNPFA SEI message indicates that an applicable post-processing filter, where nnpfc_id equals nnpfa_target_id, can be used to filter images containing the NNPFA SEI message.

[0077] An instance of SampleToGroupBox for an NNPFA sample group should not include the grouping_type_parameter.

[0078] When an orbit contains NNPFA sample groups, NNPFA SEI messages should not exist within the samples of that orbit.

[0079] When the reader supports NNPFA sample groups, the reader must perform the following implicit insertion of prefix SEI NAL cells as part of the bitstream reconstruction:

[0080] — When a sample is mapped to at least one NnpfaSeiEntry, the sample implicitly contains a prefix SEI NAL unit for each layer contained in the orbital, and the prefix SEI NAL unit contains an NNPFA SEI message from the NnpfaSeiEntry.

[0081] When the reader processes an NNPFA sample group, it must also process an NNPFC sample group on the same track. When a VVC track has an associated VVC non-VCL track containing an NNPFA sample group, the NNPFA SEI message should not exist within the samples of the VVC track.

[0082] When the NNPFC sample group is the basic sample group and the NNPFA sample group exists in the same orbit, the NNPFA sample group must be the basic sample group, and the "esgh" sample group must list "nfcs" and "nfas" in the subsequent entries of the sample_group_description_type array.

[0083] 11.4.23.2 Syntax

[0084] aligned(8) class NnpfaSeiEntry() extends VisualSampleGroupEntry('nfas')

[0085] {

[0086] do {

[0087] unsigned int(8) nnpfa_sei_len;

[0088] if (nnpfa_sei_len > 0)

[0089] unsigned int(8) nnpfa_sei_data_byte[nnpfa_sei_len];

[0090] while (nnpfa_sei_len > 0)

[0091] }

[0092] 11.4.23.3 Semantics

[0093] A value greater than 0 for nnpfa_sei_len indicates the number of bytes in the subsequent byte array nnpfa_sei_data_byte[nnpfa_sei_len]. At least the first instance of nnpfa_sei_len must be greater than 0. An nnpfa_sei_len value of 0 indicates that no further byte arrays follow in that NnpfaSeiEntry.

[0094] nnpfa_sei_data_byte[nnpfa_sei_len] is a byte array that must contain exactly one complete NNPFA SEI message as specified in ISO / IEC 23002-7.

[0095] In sub-entry 11.6.2, add the following paragraph before the paragraph that begins with "time-aligned samples":

[0096] When the basic sample set exists in a VVC non-VCL track and the reader does not recognize the sample set, the reader must ignore and skip the VVC non-VCL track during the reconstruction of the access cell.

[0097] 3. The technical problem solved by the disclosed technical solution

[0098] The example design for storing the video bitstream associated with the neural network post-processing filter within a media file track has the following problems:

[0099] First, in the example system, the storage of the video bitstream associated with the neural network post-processing filter in the media file track is specified only for VVC bitstreams. However, this should also be specified for AVC and HEVC bitstreams and their extensions.

[0100] Second, to include an NNPFC SEI message in an NNPFC sample group entry, a byte array is included containing exactly one complete NNPFC SEI message as specified in ISO / IEC 23002-7. However, the nn_post_filter_characteristics() syntax structure specified for NNPFC SEI messages in ISO / IEC 23002-7 is contained within the sei_payload() syntax structure, which in turn is contained within the sei_message() syntax structure. Furthermore, both the sei_message() and sei_payload() syntax structures are specified in the video codec (e.g., VVC, HEVC, and VVC) specifications. In addition to the sei_payload() syntax structure, the sei_message() syntax structure includes two important pieces of information: the SEI payload type and the SEI payload size. The sei_payload() syntax structure, which includes the nn_post_filter_characteristics() syntax structure, also includes SEI payload extended data, the sei_payload_bit_equal_to_one syntax element, and the SEI payload byte alignment bit. Instead of simply including the nn_post_filter_characteristics() syntax structure as specified in ISO / IEC 23002-7 in the NNPFC sample group entry, the complete sei_message() syntax structure, which indirectly includes the nn_post_filter_characteristics() syntax structure, should be included in the NNPFC sample group entry. Similarly, the complete sei_message() syntax structure, which indirectly includes the nn_post_filter_activation() syntax structure, should be included in the NNPFA sample group entry.

[0101] 4. List of solutions and implementation examples

[0102] To address the aforementioned problems, methods outlined below are disclosed. These aspects should be considered as examples for interpreting general concepts, and not interpreted in a narrow sense. Furthermore, these examples can be applied individually or in any combination.

[0103] 1) To address problem 1, a storage mechanism for video bitstreams associated with neural network post-processing filters is specified not only for VVC bitstreams, but also for AVC and HEVC bitstreams and their extensions.

[0104] a. In one example, it is specified that NNPFC SEI messages can be included in AVC, SVC, Multi-View Video Codec (MVC), Multi-View Video with Depth (MVD), HEVC, Layered HEVC (L-HEVC), or VVC bitstreams.

[0105] b. In one example, it is specified that NNPFC sample groups can be included in tracks with sample entry types of AVC, SVC, MVC, MVD, HEVC, L-HEVC, or VVC.

[0106] c. In one example, it is specified that the NNPFA SEI message can be included in an AVC, SVC, MVC, MVD, HEVC, L-HEVC, or VVC bitstream.

[0107] d. In one example, it is specified that NNPFA sample groups can be included in tracks with sample entry types of AVC, SVC, MVC, MVD, HEVC, L-HEVC, or VVC.

[0108] e. In one example, the storage mechanism for the video bitstream associated with the neural network post-processing filter in the track of the media file is specified in Item 4 of ISO / IEC 14496-15, rather than in Item 11 of ISO / IEC 14496-15.

[0109] 2) To address issues 1 and 2, instead of specifying only the nn_post_filter_characteristics() syntax structure as defined in ISO / IEC 23002-7 in the NNPFC sample group entries, it is stipulated that the complete sei_message() syntax structure, which indirectly contains the nn_post_filter_characteristics() syntax structure, should be included in the NNPFC sample group entries. Similarly, the complete sei_message() syntax structure, which indirectly contains the nn_post_filter_activation() syntax structure, should be included in the NNPFA sample group entries.

[0110] a. In one example, nnpfc_sei_data_byte[] is specified as a byte array that must contain exactly one complete sei_message() syntax structure with payloadType equal to 210. The sei_message() syntax structure is as specified in ISO / IEC 14496-10 when the sample entry type is AVC, SVC, MVC, or MVD; as specified in ISO / IEC 23008-2 when the sample entry type is HEVC or L-HEVC; and as specified in ISO / IEC 23090-3 when the sample entry type is VVC. Furthermore, the nn_post_filter_characteristics() syntax structure contained within the sei_payload() syntax structure is as specified in ISO / IEC 23002-7. The syntax structure is then included in the sei_message() syntax structure.

[0111] b. In one example, nnpfa_sei_data_byte[nnpfa_sei_len] is specified as a byte array that must contain exactly one complete sei_message() syntax structure with payloadType equal to 211. The sei_message() syntax structure is as specified in ISO / IEC 14496-10 when the sample entry type is AVC, SVC, MVC, or MVD; as specified in ISO / IEC 23008-2 when the sample entry type is HEVC or L-HEVC; and as specified in ISO / IEC 23090-3 when the sample entry type is VVC. Furthermore, the nn_post_filter_activation() syntax structure included in the sei_payload() syntax structure is as specified in ISO / IEC 23002-7. The syntax structure is then included in the sei_message() syntax structure.

[0112] 5. Examples

[0113] The following are some example implementations of the aspects outlined in Section 4 of the previous article.

[0114] Most of the relevant sections that have been added or modified are shown in bold, and some of the deleted sections are shown in bold italics. There may be some other changes that are editable in nature and therefore not indicated.

[0115] 5.1 Example 1

[0116] This embodiment pertains to items 1 and 2 as outlined in Section 4 of the previous article.

[0117] Neural Network Post-Processing Filter Feature Sample Group

[0118] definition

[0119] The Neural Network Post-Processing Filter (NNPFC) SEI message is specified in ISO / IEC 23002-7. The NNPFC SEI message can be included in... In VVC bitstream. ...

[0121] grammar

[0122] aligned(8) class NnpfcSeiEntry() extends VisualSampleGroupEntry('nfcs')

[0123] {

[0124] unsigned int(8) nnpfc_sei_data_byte[];

[0125] }

[0126] Semantics

[0127] ...

[0129] Neural network post-processing filter activation sample group

[0130] definition

[0131] The Neural Network Post-Processing Filter Activation (NNPFA) SEI message is specified in ISO / IEC 23002-7. The NNPFASEI message can be included in... In VVC bitstream. ...

[0133] grammar

[0134] aligned(8) class NnpfaSeiEntry() extends VisualSampleGroupEntry('nfas')

[0135] {

[0136] do {

[0137] unsigned int(8) nnpfa_sei_len;

[0138] if (nnpfa_sei_len > 0)

[0139] unsigned int(8) nnpfa_sei_data_byte[nnpfa_sei_len];

[0140] while (nnpfa_sei_len > 0)

[0141] }

[0142] Semantics

[0143] A value greater than 0 for nnpfa_sei_len indicates the number of bytes in the subsequent byte array nnpfa_sei_data_byte[nnpfa_sei_len]. At least the first instance of nnpfa_sei_len must be greater than 0. An nnpfa_sei_len value of 0 indicates that no further byte arrays follow in that NnpfaSeiEntry.

[0144] ...

[0146] 6. References

[0147] [1]ITU-T and ISO / IEC, “High efficiency video coding”, Rec. ITU-TH.265 | ISO / IEC 23008-2 (in force edition).

[0148] [2]J. Chen, E. Alshina, GJ Sullivan, J.-R. Ohm, J. Boyce, "Algorithm description of Joint Exploration Test Model 7 (JEM7)," JVET-G1001, Aug. 2017.

[0149] [3]Rec. ITU-T H.266 | ISO / IEC 23090-3, “Versatile Video Coding”,2022.

[0150] [4]Rec. ITU-T Rec. H.274 | ISO / IEC 23002-7, “Versatile SupplementalEnhancement Information Messages for Coded Video Bitstreams”, 2022.

[0151] [5]ISO / IEC 14496-12: "Information technology — Coding of audio-visual objects — Part 12: ISO base media file format".

[0152] [6]ISO / IEC 23009-1: "Information technology — Dynamic adaptivestreaming over HTTP (DASH) — Part 1: Media presentation description andsegment formats".

[0153] [7]ISO / IEC 14496-15: "Information technology — Coding of audio-visual objects — Part 15: Carriage of network abstraction layer (NAL) unitstructured video in the ISO base media file format".

[0154] [8]ISO / IEC 23008-12: "Information technology — High efficiencycoding and media delivery in heterogeneous environments — Part 12: ImageFile Format".

[0155] [9]S. McCarthy, T. Chujoh, M. Hannuksela, G. J. Sullivan, and Y.-K.Wang (editors), “Additional SEI messages for VSEI (Draft 4)”, JVET outputdocument JVET-AD2006, publicly available online herein: https: / / www.jvet-experts.org / doc_end_user / current_document.php?id=12976.

[0156]

[10] E. François, B. Bross, M. M. Hannuksela, A. Tourapis, and Y.-K.Wang (editors), “New level and systems-related supplemental enhancementinformation for VVC (Draft 5)”, JVET output document JVET-AD2005, publiclyavailable online herein: https: / / www.jvet-experts.org / doc_end_user / current_document.php?id=12975.

[0157]

[11] T. Ikai, T. Chujoh, Y.-K. Wang, J. Xu, and W. Jia, “Neuralnetwork post filter and phase indication SEI messages for AVC and HEVC”, JVETinput document JVET-AE0101, publicly available online herein: https: / / www.jvet-experts.org / doc_end_user / current_document.php?id= 13049.

[0158]

[12] ISO / IEC JTC 1 / SC 29 / WG 03 output document N0875, "WD of 14496-156th edition AMD 3 Support for neural-network post-filter supplementalenhancement information and other improvements", Apr. 2023.

[0159] Figure 1 This is a block diagram illustrating an example video processing system 4000 in which various techniques disclosed herein may be implemented. Various implementations may include some or all of the components of system 4000. System 4000 may include an input 4002 for receiving video content. The video content may be received in a raw or uncompressed format, such as 8 or 10-bit multi-component pixel values, or it may be in a compressed or encoded format. Input 4002 may represent a network interface, a peripheral bus interface, or a storage interface. Examples of network interfaces include wired interfaces (such as Ethernet, Passive Optical Networking (PON), etc.) and wireless interfaces (such as Wi-Fi or cellular interfaces).

[0160] System 4000 may include an encoding component 4004 capable of implementing the various encoding / decoding or coding methods described in this document. Encoding component 4004 can reduce the average bit rate from the video input 4002 to the output of encoding / decoding component 4004 to produce an encoded / decoded representation of the video. Encoding techniques are therefore sometimes referred to as video compression or video transcoding techniques. The output of encoding component 4004 may be stored or transmitted via a communication connection such as that represented by component 4006. The bitstream (or encoded) representation of the video received at input 4002, whether stored or communicated, may be used by component 4008 to generate pixel values ​​or displayable video that is sent to display interface 4010. The process of generating user-visible video from the bitstream representation is sometimes referred to as video decompression. Furthermore, although some video processing operations are referred to as “encoding / decoding” operations or tools, it should be understood that encoding tools or operations are used by the encoder, and the corresponding decoding tools or operations that reverse the encoded result will be performed by the decoder.

[0161] Examples of peripheral bus interfaces or display interfaces may include Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), or DisplayPort. Examples of storage interfaces include Serial Advanced Technology Attachment (SATA), Peripheral Component Interconnect (PCI), Integrated Drive Electronics (IDE), etc. The technologies described in this document can be embodied in a variety of electronic devices, such as mobile phones, laptops, smartphones, or other devices capable of performing digital data processing and / or video display.

[0162] Figure 2 This is a block diagram of an example video processing apparatus 4100. Apparatus 4100 can be used to implement one or more methods described herein. Apparatus 4100 can be embodied in a smartphone, tablet, computer, Internet of Things (IoT) receiver, etc. Apparatus 4100 may include one or more processors 4102, one or more memories 4104, and video processing circuitry 4106. The processors(multiple) 4102 can be configured to implement one or more methods described herein. The memories(multiple) 4104 can be used to store data and code for implementing the methods and techniques described herein. The video processing circuitry 4106 can be used to implement some of the techniques described herein in hardware circuitry. In some embodiments, the video processing circuitry 4106 may be at least partially included in the processor 4102, such as a graphics coprocessor.

[0163] Figure 3 This is a flowchart of an example method 4200 for video processing. In step 4202, method 4200 determines that a neural network post-processing filter (NNPF) is stored in a track within a media file specified for a Multi-Functional Video Codec (VVC), Advanced Video Codec (AVC), or High-Efficiency Video Codec (HEVC) bitstream. In step 4204, a conversion between the visual media data and the VVC, AVC, or HEVC bitstream is performed based on the NNPF. The conversion may include encoding at the encoder, decoding at the decoder, or a combination thereof.

[0164] It should be noted that method 4200 can be implemented in an apparatus for processing video data, including a processor and a non-transitory memory having instructions thereon, such as a video encoder 4400, a video decoder 4500, and / or an encoder 4600. In this case, the instructions, when executed by the processor, cause the processor to perform method 4200. Furthermore, method 4200 can be executed by a non-transitory computer-readable medium, which includes a computer program product for use by a video encoding / decoding device. The computer program product includes computer-executable instructions stored on the non-transitory computer-readable medium, causing the video encoding / decoding device to perform method 4200 when executed by a processor.

[0165] Figure 4This is a block diagram illustrating an example video encoding / decoding system 4300 that can utilize the techniques disclosed herein. The video encoding / decoding system 4300 may include a source device 4310 and a target device 4320. The source device 4310 generates encoded video data, and this source device 4310 may be referred to as a video encoding device. The target device 4320 can decode the encoded video data generated by the source device 4310, and this target device 4320 may be referred to as a video decoding device.

[0166] Source device 4310 may include video source 4312, video encoder 4314, and input / output (I / O) interface 4316. Video source 4312 may include sources such as video capture devices, interfaces for receiving video data from video content providers, and / or sources of computer graphics systems used to generate video data, or combinations of these sources. Video data may include one or more pictures. Video encoder 4314 encodes the video data from video source 4312 to generate a bitstream. The bitstream may include a sequence of bits forming a codec representation of the video data. The bitstream may include codec pictures and associated data. Codec pictures are codec representations of pictures. Associated data may include sequence parameter sets, picture parameter sets, and other syntax structures. I / O interface 4316 may include a modulator / demodulator (modem) and / or a transmitter. Encoded video data may be transmitted directly to target device 4320 via network 4330 through I / O interface 4316. Encoded video data may also be stored on storage medium / server 4340 for access by target device 4320.

[0167] Target device 4320 may include I / O interface 4326, video decoder 4324, and display device 4322. I / O interface 4326 may include a receiver and / or a modem. I / O interface 4326 may acquire encoded video data from source device 4310 or storage medium / server 4340. Video decoder 4324 may decode the encoded video data. Display device 4322 may display the decoded video data to a user. Display device 4322 may be integrated with target device 4320 or may be external to target device 4320, wherein target device 4320 may be configured to interface with an external display device.

[0168] The video encoder 4314 and the video decoder 4324 can operate according to video compression standards, such as the High Efficiency Video Codec (HEVC) standard, the Multi-Functional Video Codec (VVM) standard, and other existing and / or further standards.

[0169] Figure 5 This is a block diagram illustrating an example of a video encoder 4400, wherein the video encoder 4400 may be... Figure 4 The system 4300 shown includes a video encoder 4314. The video encoder 4400 can be configured to perform any or all of the techniques disclosed herein. The video encoder 4400 includes multiple functional components. The techniques described in this disclosure can be shared among the various components of the video encoder 4400. In some examples, a processor can be configured to perform any or all of the techniques described in this disclosure.

[0170] The functional components of the video encoder 4400 may include a segmentation unit 4401, a prediction unit 4402 (which may include a mode selection unit 4403, a motion estimation unit 4404, a motion compensation unit 4405, an intra-frame prediction unit 4406, a residual generation unit 4407, a transform processing unit 4408, a quantization unit 4409, an inverse quantization unit 4410, an inverse transform unit 4411, a reconstruction unit 4412, a buffer 4413, and an entropy coding unit 4414).

[0171] In other examples, the video encoder 4400 may include more, fewer, or different functional components. In one example, the prediction unit 4402 may include an intra-block copy (IBC) unit. The IBC unit can perform prediction in an IBC mode, where at least one reference picture is the picture in which the current video block is located.

[0172] Furthermore, some components such as the motion estimation unit 4404 and the motion compensation unit 4405 can be highly integrated, but for illustrative purposes, they are shown separately in the example of the video encoder 4400.

[0173] The segmentation unit 4401 can segment an image into one or more video blocks. The video encoder 4400 and the video decoder 4500 can support various video block sizes.

[0174] The mode selection unit 4403 can select one of several encoding / decoding modes (intra-frame encoding / decoding or inter-frame encoding / decoding), for example, based on error results, and provide the resulting intra-frame or inter-frame encoded / decoded block to the residual generation unit 4407 to generate residual block data, and to the reconstruction unit 4412 to reconstruct the coded block for use as a reference image. In some examples, the mode selection unit 4403 can select an intra-frame / inter-frame joint prediction (CIIP) mode, where prediction is based on inter-frame prediction signals and intra-frame prediction signals. In the case of inter-frame prediction, the mode selection unit 4403 can also select a resolution for the block based on motion vectors (e.g., sub-pixel precision or integer pixel precision).

[0175] To perform inter-frame prediction on the current video block, motion estimation unit 4404 can generate motion information for the current video block by comparing one or more reference frames from buffer 4413 with the current video block. Motion compensation unit 4405 can determine the predicted video block for the current video block based on the motion information and decoded samples of images from buffer 4413 other than the image associated with the current video block.

[0176] The motion estimation unit 4404 and the motion compensation unit 4405 can perform different operations on the current video block, for example, depending on whether the current video block is in an I-band, P-band, or B-band.

[0177] In some examples, motion estimation unit 4404 can perform unidirectional prediction on the current video block, and can search for reference images in list 0 or list 1 to find a reference video block for the current video block. Motion estimation unit 4404 can then generate a reference index indicating the reference image in list 0 or list 1 (where the reference image contains the reference video block) and a motion vector indicating the spatial displacement between the current video block and the reference video block. Motion estimation unit 4404 can output the reference index, prediction direction indicator, and motion vector as motion information for the current video block. Motion compensation unit 4405 can generate a predicted video block for the current block based on the reference video block indicated by the motion information of the current video block.

[0178] In other examples, motion estimation unit 4404 can perform bidirectional prediction on the current video block. Motion estimation unit 4404 can search for reference images in list 0 to find a reference video block for the current video block, and can also search for reference images in list 1 to find another reference video block for the current video block. Motion estimation unit 4404 can then generate reference indices indicating the reference images containing the reference video blocks in lists 0 and 1, and motion vectors indicating the spatial displacement between the reference video blocks and the current video block. Motion estimation unit 4404 can output the reference index and motion vector of the current video block as motion information for the current video block. Motion compensation unit 4405 can generate a predicted video block for the current video block based on the reference video blocks indicated by the motion information of the current video block.

[0179] In some examples, the motion estimation unit 4404 can output a complete set of motion information for use in the decoder's decoding process. In some examples, the motion estimation unit 4404 may not output a complete set of motion information for the current video. Instead, the motion estimation unit 4404 can reference the motion information of another video block to transmit the motion information of the current video block via a signal. For example, the motion estimation unit 4404 may determine that the motion information of the current video block is sufficiently similar to the motion information of neighboring video blocks.

[0180] In one example, the motion estimation unit 4404 may indicate a value to the video decoder 4500 in the syntax structure associated with the current video block, which indicates that the current video block has the same motion information as another video block.

[0181] In another example, motion estimation unit 4404 may identify another video block and motion vector difference (MVD) in the syntax structure associated with the current video block. The motion vector difference indicates the difference between the motion vector of the current video block and the motion vector of the indicated video block. Video decoder 4500 may use the motion vector of the indicated video block and the motion vector difference to determine the motion vector of the current video block.

[0182] As discussed above, the video encoder 4400 can transmit motion vectors via signaling in a predictive manner. Two examples of predictive signaling techniques that can be implemented by the video encoder 4400 include Advanced Motion Vector Prediction (AMVP) and Merge Pattern Signaling.

[0183] Intra-prediction unit 4406 can perform intra-prediction on the current video block. When intra-prediction unit 4406 performs intra-prediction on the current video block, it can generate prediction data for the current video block based on decoded samples of other video blocks in the same frame. The prediction data for the current video block can include the predicted video block and various syntax elements.

[0184] The residual generation unit 4407 can generate residual data for the current video block by subtracting (or more) predicted video blocks from the current video block. The residual data for the current video block may include residual video blocks corresponding to different sample components of the samples in the current video block.

[0185] In other examples, such as in skip mode, there may be no residual data for the current video block, and the residual generation unit 4407 may not perform subtraction operations.

[0186] The transform processing unit 4408 can generate one or more transform coefficient video blocks for the current video block by applying one or more transforms to the residual video blocks associated with the current video block.

[0187] After the transform processing unit 4408 generates a transform coefficient video block associated with the current video block, the quantization unit 4409 can quantize the transform coefficient video block associated with the current video block based on one or more quantization parameter (QP) values ​​associated with the current video block.

[0188] The inverse quantization unit 4410 and the inverse transform unit 4411 can apply inverse quantization and inverse transform to the transform coefficient video block respectively to reconstruct the residual video block from the transform coefficient video block. The reconstruction unit 4412 can add the reconstructed residual video block to the corresponding samples from one or more predicted video blocks generated by the prediction unit 4402 to generate a reconstructed video block associated with the current block, which is then stored in the buffer 4413.

[0189] After the video block is reconstructed by reconstruction unit 4412, a loop filtering operation can be performed to reduce video block artifacts in the video block.

[0190] Entropy encoding unit 4414 can receive data from other functional components of video encoder 4400. When entropy encoding unit 4414 receives data, it can perform one or more entropy encoding operations to generate entropy-encoded data and output a bitstream including the entropy-encoded data.

[0191] Figure 6 This is a block diagram illustrating an example of a video decoder 4500, wherein the video decoder 4500 may be... Figure 4 The system 4300 shown includes a video decoder 4324. The video decoder 4500 can be configured to perform any or all of the techniques disclosed herein. In the example shown, the video decoder 4500 includes multiple functional components. The techniques described in this disclosure can be shared among the various components of the video decoder 4500. In some examples, a processor can be configured to perform any or all of the techniques described in this disclosure.

[0192] In the example shown, the video decoder 4500 includes an entropy decoding unit 4501, a motion compensation unit 4502, an intra-frame prediction unit 4503, an inverse quantization unit 4504, an inverse transform unit 4505, a reconstruction unit 4506, and a buffer 4507. In some examples, the video decoder 4500 can perform a decoding process that is generally contrasted with the encoding process described with respect to the video encoder 4400.

[0193] The entropy decoding unit 4501 can retrieve the encoded bitstream. The encoded bitstream may include entropy-encoded video data (e.g., encoded video data blocks). The entropy decoding unit 4501 can decode the entropy-encoded video data, and based on the entropy-decoded video data, the motion compensation unit 4502 can determine motion information including motion vectors, motion vector precision, reference image list index, and other motion information. The motion compensation unit 4502 can determine this information, for example, by executing AMVP and Merge modes.

[0194] The motion compensation unit 4502 can generate motion compensation blocks and can perform interpolation based on an interpolation filter. The identifier of the interpolation filter to be used, with sub-pixel accuracy, can be included in the syntax element.

[0195] The motion compensation unit 4502 can use interpolation filters, such as those used by the video encoder 4400 during the encoding of video blocks, to calculate interpolations for sub-integer pixels of the reference block. The motion compensation unit 4502 can determine the interpolation filter used by the video encoder 4400 based on the received syntax information, and the motion compensation unit 4502 can use the interpolation filter to generate prediction blocks.

[0196] The motion compensation unit 4502 may use some syntax information to determine the size of the blocks used to encode (multiple) frames and / or (multiple) stripes of the encoded video sequence, segmentation information describing how each macroblock of the image of the encoded video sequence is segmented, a mode indicating how each segment is encoded, one or more reference frames (and a list of reference frames) for each inter-frame codec block, and other information for decoding the encoded video sequence.

[0197] Intra-prediction unit 4503 can use, for example, an intra-prediction mode received in the bitstream to form prediction blocks from spatially adjacent blocks. Dequantization unit 4504 dequantizes (i.e., inverse quantizes) the quantized video block coefficients provided in the bitstream and decoded by entropy decoding unit 4501. Inverse transform unit 4505 applies the inverse transform.

[0198] The reconstruction unit 4506 can add the residual block to the corresponding predicted block generated by the motion compensation unit 4502 or the intra-frame prediction unit 4503 to form a decoded block. If necessary, a deblocking filter can also be used to filter the decoded block to eliminate block artifacts. The decoded video block is then stored in a buffer 4507, which provides a reference block for subsequent motion compensation / intra-frame prediction and also generates decoded video for presentation on a display device.

[0199] Figure 7This is a schematic diagram of an example encoder 4600. Encoder 4600 is suitable for implementing VVC techniques. Encoder 4600 includes three loop filters: a deblocking filter (DF) 4602, a sample adaptive compensation (SAO) 4604, and an adaptive loop filter (ALF) 4606. Unlike DF 4602, which uses predefined filters, SAO 4604 and ALF 4606 utilize the original samples of the current image, respectively, by adding an offset and by applying a finite impulse response (FIR) filter, and by utilizing the encoded / decoded side information through signal transmission offset and filter coefficients to reduce the mean square error between the original and reconstructed samples. ALF 4606 is located in the last processing stage of each image and can be considered as a tool to attempt to capture and repair artifacts caused by previous stages.

[0200] The encoder 4600 also includes an intra-frame prediction component 4608 and a motion estimation / compensation (ME / MC) component 4610 configured to receive input video. The intra-frame prediction component 4608 is configured to perform intra-frame prediction, while the ME / MC component 4610 is configured to perform inter-frame prediction using a reference image obtained from a reference image buffer 4612. Residual blocks from inter-frame or intra-frame prediction are fed into a transform (T) component 4614 and a quantization (Q) component 4616 to generate quantized residual transform coefficients, which are then fed into an entropy encoding / decoding component 4618. The entropy encoding / decoding component 4618 entropy-encodes and decodes the prediction results and quantized transform coefficients and transmits them to a video decoder (not shown). The quantization component output from the quantization component 4616 can be fed into an inverse quantization (IQ) component 4620, an inverse transform component 4622, and a reconstruction (REC) component 4624. REC component 4624 is able to output images to DF 4602, SAO 4604 and ALF 4606 for filtering before these images are stored in reference image buffer 4612.

[0201] Figure 8 This is a flowchart of an example method 4700 for video processing. In step 4702, method 4700 determines that a Neural Network Post-Processing Filter (NNPF) is specified to be included in a track in a media file for a Multi-Functional Video Codec (VVC) bitstream, specified to be included in a track in a media file for an Advanced Video Codec (AVC) bitstream, and specified to be included in a track in a media file for an Efficient Video Codec (HEVC) bitstream. In step 4704, a conversion between visual media data and the bitstream is performed based on the NNPF. The conversion may include encoding at the encoder, decoding at the decoder, or a combination thereof.

[0202] It should be noted that method 4700 can be implemented in an apparatus for processing video data, including a processor and a non-transitory memory having instructions thereon, such as a video encoder 4400, a video decoder 4500, and / or an encoder 4600. In this case, the instructions, when executed by the processor, cause the processor to perform method 4700. Furthermore, method 4700 can be executed by a non-transitory computer-readable medium, which includes a computer program product for use by a video encoding / decoding device. The computer program product includes computer-executable instructions stored on the non-transitory computer-readable medium, causing the video encoding / decoding device to perform method 4700 when executed by a processor.

[0203] The following is a list of some preferred solutions.

[0204] The following solutions illustrate examples of the techniques discussed in this article.

[0205] 1. A method for processing media data, comprising: determining that a neural network post-processing filter (NNPF) is stored in a track in a media file specified for a multi-function video codec (VVC) bitstream, an advanced video codec (AVC) bitstream, or a high-efficiency video codec (HEVC) bitstream; and performing a conversion between visual media data and the VVC bitstream, the AVC bitstream, or the HEVC bitstream based on the NNPF.

[0206] 2. The method according to Solution 1, wherein the Neural Network Post-Processing Filter Feature (NNPFC) Supplemental Enhancement Information (SEI) message is included in the AVC, Scalable Video Codec (SVC), Multi-View Codec (MVC), Multi-View Video with Depth (MVD), HEVC, L-HEVC, or VVC bitstream.

[0207] 3. The method according to any one of solutions 1-2, wherein the NNPFC sample group is included in a track having an AVC, SVC, MVC, MVD, HEVC, L-HEVC or VVC sample entry type.

[0208] 4. The method according to any one of solutions 1-3, wherein the neural network post-processing filter activation (NNPFA) SEI message is included in the AVC, SVC, MVC, MVD, HEVC, L-HEVC or VVC bitstream.

[0209] 5. The method according to any one of solutions 1-4, wherein the NNPFA sample group is included in a track having an AVC, SVC, MVC, MVD, HEVC, L-HEVC or VVC sample entry type.

[0210] 6. The method according to any one of solutions 1-5, wherein the storage of the video bitstream associated with the neural network post-processing filter in the track of the media file is specified in entry 4 of ISO / IEC 14496-15, rather than in entry 11 of ISO / IEC 14496-15.

[0211] 7. The method according to any one of solutions 1-6, wherein the complete sei_message() syntax structure that indirectly contains the nn_post_filter_characteristics() syntax structure is included in the NNPFC sample group entry.

[0212] 8. The method according to any one of solutions 1-7, wherein the complete sei_message() syntax structure that indirectly contains the NNPFA syntax structure (nn_post_filter_activation()) is in the NNPFA sample group entry.

[0213] 9. The method according to any one of solutions 1-8, wherein nnpfc_sei_data_byte[] is a byte array that must contain exactly one complete sei_message() syntax structure with payloadType equal to 210, wherein the sei_message() syntax structure is as specified in ISO / IEC 14496-10 when the sample entry type is an AVC, SVC, MVC, or MVD sample entry type, or the sei_message() syntax structure is as specified in ISO / IEC 23008-2 when the sample entry type is an HEVC or L-HEVC sample entry type, or the sei_message() syntax structure is as specified in ISO / IEC 23090-3 when the sample entry type is a VVC sample entry type, and the nn_post_filter_characteristics() syntax structure contained in the sei_payload() syntax structure is as specified in ISO / IEC 14496-10. As specified in 23002-7, the sei_payload() syntax structure is further included in the sei_message() syntax structure.

[0214] 10. The method according to any one of solutions 1-9, wherein nnpfa_sei_data_byte[nnpfa_sei_len] is a byte array that must contain exactly one complete sei_message() syntax structure with payloadType equal to 211, wherein the sei_message() syntax structure is as specified in ISO / IEC 14496-10 when the sample entry type is an AVC, SVC, MVC, or MVD sample entry type, or the sei_message() syntax structure is as specified in ISO / IEC 23008-2 when the sample entry type is an HEVC or L-HEVC sample entry type, or the sei_message() syntax structure is as specified in ISO / IEC 23090-3 when the sample entry type is a VVC sample entry type, and the nn_post_filter_activation() syntax structure contained in the sei_payload() syntax structure is as specified in ISO / IEC 23090-3. As specified in 23002-7, the sei_payload() syntax structure is further included in the sei_message() syntax structure.

[0215] 11. An apparatus for processing video data, comprising: a processor; and a non-transitory memory having instructions thereon, wherein the instructions, when executed by the processor, cause the processor to perform the method according to any one of solutions 1-10.

[0216] 12. A non-transitory computer-readable medium comprising a computer program product for use by a video codec device, the computer program product comprising computer-executable instructions stored on the non-transitory computer-readable medium such that when the computer-executable instructions are executed by a processor, the video codec device performs the method according to any one of solutions 1-10.

[0217] 13. A non-transitory computer-readable recording medium storing a bitstream of video generated by a method performed by a video processing apparatus, wherein the method comprises: determining that a neural network post-processing filter (NNPF) is stored in a track in a media file specified for a multi-function video codec (VVC) bitstream, an advanced video codec (AVC) bitstream, or a high-efficiency video codec (HEVC) bitstream; and generating a bitstream based on the determination.

[0218] 14. A method for storing a bitstream of video, comprising: determining that a neural network post-processing filter (NNPF) is stored in a track in a media file specified for a multi-function video codec (VVC) bitstream, an advanced video codec (AVC) bitstream, or a high-efficiency video codec (HEVC) bitstream; generating a bitstream based on the determination; and storing the bitstream in a non-transitory computer-readable recording medium.

[0219] 15. A method, apparatus, or system described in this document.

[0220] The following solutions illustrate further examples of the techniques discussed in this article.

[0221] 1. A method for processing media data, comprising: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-function video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; and performing a conversion between visual media data and the bitstream based on said NNPF.

[0222] 2. The method according to Solution 1, wherein a Neural Network Post-Processing Filter Feature (NNPFC) Supplemental Enhancement Information (SEI) message is included in the bitstream, and wherein the bitstream is the AVC bitstream, a Scalable Video Codec (SVC) bitstream, a Multi-View Codec (MVC) bitstream, a Multi-View Video (MVD) bitstream with Depth, the HEVC bitstream, a Layered HEVC (L-HEVC) bitstream, or the VVC bitstream.

[0223] 3. The method according to any one of solutions 1-2, wherein the NNPFC sample group is included in the track, and wherein the track has an AVC sample entry type, an SVC sample entry type, an MVC sample entry type, an MVD sample entry type, an HEVC sample entry type, an L-HEVC sample entry type, or a VVC sample entry type.

[0224] 4. The method according to any one of solutions 1-3, wherein a neural network post-processing filter activation (NNPFA) SEI message is included in the bitstream, and wherein the bitstream is the AVC bitstream, SVC bitstream, MVC bitstream, MVD bitstream, the HEVC bitstream, L-HEVC bitstream, or the VVC bitstream.

[0225] 5. The method according to any one of solutions 1-4, wherein the NNPFA sample group is included in the track, and wherein the track has an AVC sample entry type, an SVC sample entry type, an MVC sample entry type, an MVD sample entry type, an HEVC sample entry type, an L-HEVC sample entry type, or a VVC sample entry type.

[0226] 6. The method according to any one of solutions 1-5, wherein a complete SEI message syntax structure (sei_message()) includes an NNPFC syntax structure (nn_post_filter_characteristics()).

[0227] 7. The method according to any one of solutions 1-6, wherein the entire sei_message() syntax structure that indirectly contains the NNPFA syntax structure (nn_post_filter_activation()) is in the NNPFA sample group entry.

[0228] 8. The method according to any one of solutions 1-7, wherein the NNPFC SEI data byte (nnpfc_sei_data_byte[]) is a byte array, the byte array containing exactly one complete sei_message() syntax structure with payloadType equal to NNPFC payload type (NNPFC PAYLOAD TYPE).

[0229] 9. The method according to any one of solutions 1-8, wherein the NNPFA SEI data bytes (nnpfa_sei_data_byte[nnpfa_sei_len]) of length NNPFA SEI are a byte array that must contain exactly one complete sei_message() with payloadType equal to 211.

[0230] 10. The method according to any one of solutions 1-9, wherein when the sample entry type is an AVC, SVC, MVC or MVD sample entry type, the sei_message() is as specified in ISO / IEC 14496-10.

[0231] 11. The method according to any one of solutions 1-10, wherein when the sample entry type is HEVC or L-HEVC sample entry type, the sei_message() is as specified in ISO / IEC 23008-2.

[0232] 12. The method according to any one of solutions 1-11, wherein when the sample entry type is a VVC sample entry type, the sei_message() is as specified in ISO / IEC 23090-3.

[0233] 13. The method according to any one of solutions 1-12, wherein the nn_post_filter_activation() contained in the sei_payload() is as specified in ISO / IEC 23002-7, and the sei_payload() is further contained in the sei_message().

[0234] 14. The method according to any one of solutions 1-13, wherein the conversion includes encoding the visual media data into the bitstream.

[0235] 15. The method according to any one of solutions 1-13, wherein the conversion includes decoding the visual media data from the bitstream.

[0236] 16. An apparatus for processing video data, comprising: a processor; and a non-transitory memory having instructions thereon, wherein the instructions, when executed by the processor, cause the processor to perform the method according to any one of solutions 1-15.

[0237] 17. A non-transitory computer-readable medium comprising a computer program product for use by a video codec apparatus, the computer program product including computer-executable instructions stored on the non-transitory computer-readable medium such that when the computer-executable instructions are executed by a processor, the video codec apparatus performs the method according to any one of solutions 1-15.

[0238] 18. A non-transitory computer-readable recording medium storing a bitstream of video generated by a method performed by a video processing apparatus, wherein the method comprises: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-function video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; and generating a bitstream based on the determination.

[0239] 19. A method for storing a bitstream of video, comprising: determining that a neural network post-processing filter (NNPF) is specified to be included in a track in a media file for a multi-functional video codec (VVC) bitstream, specified to be included in a track in a media file for an advanced video codec (AVC) bitstream, and specified to be included in a track in a media file for an efficient video codec (HEVC) bitstream; generating a bitstream based on the determination; and storing the bitstream in a non-transitory computer-readable recording medium.

[0240] In the described solution, the encoder conforms to the format rules by generating a codec representation based on those rules. In the described solution, the decoder parses the syntax elements in the codec representation using known information about their presence or absence, based on the format rules, to produce the decoded video.

[0241] In this document, the term "video processing" can refer to video encoding, video decoding, video compression, or video decompression. For example, a video compression algorithm can be applied during the conversion from a pixel representation of a video to a corresponding bitstream representation, and vice versa. For example, the bitstream representation of the current video block can correspond to bits at co-positions or propagated at different positions in the bitstream defined by the syntax. For example, a macroblock can be encoded based on the error residual values ​​after transformation and encoding / decoding, and can also use bits from the header and other fields in the bitstream. Furthermore, during the conversion, the decoder can parse the bitstream based on the determination, knowing whether certain fields may or may not be present, as described in the solutions above. Similarly, the encoder can determine whether to include or exclude specific syntax fields, and generate the codec representation accordingly by including or excluding syntax fields from the codec representation.

[0242] The disclosed and other solutions, examples, embodiments, modules, and functional operations described in this document can be implemented in digital electronic circuits, or in computer software, firmware, or hardware, including the structures disclosed in this document and their structural equivalents, or in combinations thereof. The disclosed embodiments and other embodiments can be implemented as one or more computer program products, i.e., one or more computer program instruction modules encoded on a computer-readable medium for execution by or control of the operation of a data processing apparatus. The computer-readable medium can be a machine-readable storage device, a machine-readable storage substrate, a storage device, a material composition affecting machine-readable propagation signals, or a combination thereof. The term "data processing apparatus" includes all means, devices, and machines for processing data, including, for example, a programmable processor, a computer, or multiple processors or computers. In addition to hardware, the apparatus may also include code that creates an execution environment for an associated computer program, for example, code constituting processor firmware, a protocol stack, a database management system, an operating system, or a combination thereof. Propagation signals are artificially generated signals, such as machine-generated electrical signals, optical signals, or electromagnetic signals, generated to encode information for transmission to a suitable receiver device.

[0243] Computer programs (also known as programs, software, software applications, scripts, or code) can be written in any programming language, including compiled or interpreted languages, and can be deployed in any form, including standalone programs or modules, components, subroutines, or other units suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple co-located files (e.g., a file storing one or more modules, subroutines, or code portions). A computer program can be deployed to execute on one computer or on multiple computers located at a single site or distributed across multiple sites and interconnected by a communications network.

[0244] The processing and logic flows described in this document can be executed by one or more programmable processors that execute one or more computer programs to perform functions by manipulating input data and generating outputs. The processing and logic flows can also be executed by dedicated logic circuitry, and the devices can be implemented as dedicated logic circuitry, such as field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs).

[0245] Processors suitable for executing computer programs include, for example, general-purpose and special-purpose microprocessors, and any one or more processors in any type of digital computer. Typically, the processor receives instructions and data from read-only memory or random access memory, or both. The basic components of a computer are a processor that executes instructions and one or more storage devices that store the instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks. However, a computer does not necessarily have such devices. Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and storage devices, including, for example, semiconductor storage devices such as EPROM, EEPROM, and flash memory devices; magnetic disks, such as internal hard disks or removable hard disks; magneto-optical disks; and CD-ROMs and DVD-ROMs. The processor and memory may be supplemented by or incorporated into special-purpose logic circuitry.

[0246] While this patent document contains numerous details, these details should not be construed as limiting any subject matter or the scope of the claims, but rather as descriptions of features specific to particular embodiments of a particular technology. In this patent document, certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented separately in multiple embodiments, or in any suitable sub-combination. Furthermore, although features may function in certain combinations as described above, and even were originally claimed in this manner, in some cases one or more features in the claimed combination may be removed from that combination, and the claimed combination may be for sub-combinations or variations thereof.

[0247] Similarly, although operations are depicted in a specific order in the accompanying drawings, this should not be construed as requiring such operations to be performed sequentially in the specific order or sequence shown, or requiring all shown operations to be performed in order to achieve the desired result. Furthermore, the division of various system components in the embodiments described in this patent document should not be construed as requiring such division in all embodiments.

[0248] Only a few implementations and examples are described, and other implementations, improvements and variations can be made based on what is described and shown in this patent document.

[0249] When there is no intermediate component (other than a line, trace, or other medium between the first and second components), the first component is directly coupled to the second component. When there is an intermediate component between the first and second components other than a line, trace, or other medium, the first component is indirectly coupled to the second component. The term "coupled" and its variations include direct coupling and indirect coupling. The use of the term "about" means including a range of ±10% of the following figures, unless otherwise specified.

[0250] While several embodiments are provided in this disclosure, it should be understood that the disclosed systems and methods may be embodied in many other specific forms without departing from the spirit or scope of this disclosure. The present examples are to be considered illustrative rather than restrictive and are not intended to be limited to the details set forth herein. For example, various elements or components may be combined or integrated into another system, or certain features may be omitted or not implemented.

[0251] Furthermore, the technologies, systems, subsystems, and methods described and illustrated as discrete or separate in the various embodiments can be combined or integrated with other systems, modules, technologies, or methods without departing from the scope of this disclosure. Other items shown or discussed as couplings can be directly connected or indirectly coupled or communicated through some interface, device, or intermediate component (whether electrical, mechanical, or otherwise). Examples of other changes, substitutions, and modifications can be identified by those skilled in the art and can be made without departing from the spirit and scope of this disclosure.

Claims

1. A method for processing media data, comprising: The neural network post-processing filter (NNPF) is specified to be included in the track of the media file for the multi-function video codec (VVC) bitstream, specified to be included in the track of the media file for the advanced video codec (AVC) bitstream, and specified to be included in the track of the media file for the high-efficiency video codec (HEVC) bitstream. as well as The conversion between visual media data and bitstream is performed based on the NNPF.

2. The method according to claim 1, wherein, Neural Network Post-Processing Filter Feature (NNPFC) Supplemental Enhancement Information (SEI) messages are included in the bitstream, wherein the bitstream is the AVC bitstream, Scalable Video Codec (SVC) bitstream, Multi-View Codec (MVC) bitstream, Multi-View Video (MVD) bitstream with Depth, the HEVC bitstream, Layered HEVC (L-HEVC) bitstream, or the VVC bitstream.

3. The method according to any one of claims 1-2, wherein, The NNPFC sample group is included in the track, and the track has an AVC sample entry type, an SVC sample entry type, an MVC sample entry type, an MVD sample entry type, an HEVC sample entry type, an L-HEVC sample entry type, or a VVC sample entry type.

4. The method according to any one of claims 1-3, wherein, A Neural Network Post-Processing Filter Activation (NNPFA) SEI message is included in the bitstream, and wherein the bitstream is the AVC bitstream, SVC bitstream, MVC bitstream, MVD bitstream, HEVC bitstream, L-HEVC bitstream, or VVC bitstream.

5. The method according to any one of claims 1-4, wherein, The NNPFA sample group is included in the orbit, and the orbit has an AVC sample entry type, an SVC sample entry type, an MVC sample entry type, an MVD sample entry type, an HEVC sample entry type, an L-HEVC sample entry type, or a VVC sample entry type.

6. The method according to any one of claims 1-5, wherein, A complete SEI message syntax structure (sei_message()) includes the NNPFC syntax structure (nn_post_filter_characteristics()).

7. The method according to any one of claims 1-6, wherein, The complete sei_message() syntax structure, which indirectly contains the NNPFA syntax structure (nn_post_filter_activation()), is in the NNPFA sample group entry.

8. The method according to any one of claims 1-7, wherein, The NNPFC SEI data byte (nnpfc_sei_data_byte[]) is a byte array, and the byte array must contain exactly one complete sei_message() syntax structure with payloadType equal to NNPFC payload type (NNPFC PAYLOAD TYPE).

9. The method according to any one of claims 1-8, wherein, The NNPFA SEI data bytes (nnpfa_sei_data_byte[nnpfa_sei_len]) of length NNPFA SEI are a byte array, and the byte array must contain exactly one complete sei_message() with payloadType equal to 211.

10. The method according to any one of claims 1-9, wherein, When the sample entry type is AVC, SVC, MVC or MVD sample entry type, the sei_message() function is as specified in ISO / IEC 14496-10.

11. The method according to any one of claims 1-10, wherein, When the sample entry type is HEVC or L-HEVC sample entry type, the sei_message() function is as specified in ISO / IEC 23008-2.

12. The method according to any one of claims 1-11, wherein, When the sample entry type is VVC sample entry type, the sei_message() function is as specified in ISO / IEC 23090-3.

13. The method according to any one of claims 1-12, wherein, The nn_post_filter_activation() included in sei_payload() is specified as ISO / IEC 23002-7, and the sei_payload() is further included in the sei_message().

14. The method according to any one of claims 1-13, wherein, The conversion includes encoding the visual media data into the bitstream.

15. The method according to any one of claims 1-13, wherein, The conversion includes decoding the visual media data from the bitstream.

16. An apparatus for processing video data, comprising: processor; and a non-transitory memory thereon having instructions, wherein the instructions, when executed by the processor, cause the processor to perform the method according to any one of claims 1-15.

17. A non-transitory computer-readable medium comprising a computer program product for use by a video codec apparatus, the computer program product comprising computer-executable instructions stored on the non-transitory computer-readable medium such that, when the computer-executable instructions are executed by a processor, the video codec apparatus performs the method according to any one of claims 1-15.

18. A non-transitory computer-readable recording medium storing a bitstream of video generated by a method performed by a video processing apparatus, wherein, The method includes: The neural network post-processing filter (NNPF) is specified to be included in tracks in media files for Multi-Functional Video Codec (VVC) bitstreams, specified to be included in tracks in media files for Advanced Video Codec (AVC) bitstreams, and specified to be included in tracks in media files for High-Efficiency Video Codec (HEVC) bitstreams; and Based on the determination, a bit stream is generated.

19. A method for storing a video bitstream, comprising: The neural network post-processing filter (NNPF) is specified to be included in the track of the media file for the multi-function video codec (VVC) bitstream, specified to be included in the track of the media file for the advanced video codec (AVC) bitstream, and specified to be included in the track of the media file for the high-efficiency video codec (HEVC) bitstream. Based on the determination, a bit stream is generated; as well as The bit stream is stored in a non-transitory computer-readable recording medium.

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