63 results about "Post filtering" patented technology

An apparatus includes circuitry configured to: receive an encoding of at least one picture; receive signaling comprising information related to a group of at least one post-processing filter; and use the information related to the group of the at least one post-processing filter to infer whether and how to use at least one post-processing filter in the group of the at least one post-processing filter for the at least one picture; wherein the information indicates at least one of: whether and how to use the at least one post-processing filter in the group when a previous post-processing filter in a cascade outputs a different number of pictures than what is used as input for a current post-processing filter in the cascade, or whether and how to apply the at least one post-processing filter in a hierarchical manner.

This disclosure relates to a receiver device for pulse amplitude modulation (PAM) signals. The receiver device calculates a transmitter dispersion eye closure quaternary (TDECQ). The receiver device first obtains a signal, wherein the signal is based on a PAM signal sent by a transmitter device over a channel to the receiver device, and filters the obtained signal. Further, the transmitter device equalizes the filtered signal using a FFE with multiple taps, and filters the equalized signal output by the FFE using a 2-tap post filter, wherein high frequency noise caused by the FFE is compressed. The receiver device applies a Max-Log-Map (MLM) algorithm on the filtered signal output by the 2-tap post filter, reconstructs a signal constellation of the PAM signal based on the result of the MLM algorithm, and calculates a TDECQ based on the reconstructed signal constellation.

Syntax elements allow to enable applying film grain using a neural network post-processing filter. Syntax elements define parameters related to the film grain neural network post- processing filter. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device, thus allowing the encoding device to specify how to apply film grain using a neural network post-processing filter and the decoding device to apply the film grain neural network post-processing filter when displaying the decoded video. Additional syntax elements specify parameters comprising a film grain style, a film grain intensity, a film grain purpose or a region of interest where to apply the film grain.

In one aspect, the invention provides an audio encoding method characterized by a decision being made as to whether the device which will decode the resulting bit stream should apply post filtering including attenuation of interharmonic noise. Hence, the decision whether to use the post filter, which is encoded in the bit stream, is taken separately from the decision as to the most suitable coding mode. In another aspect, there is provided an audio decoding method with a decoding step followed by a post-filtering step, including interharmonic noise attenuation, and being characterized in a step of disabling the post filter in accordance with post filtering information encoded in the bit stream signal. Such a method is well suited for mixed-origin audio signals by virtue of its capability to deactivate the post filter in dependence of the post filtering information only, hence independently of factors such as the current coding mode.

Software products that are installed on a computer are identified from application names of application programs on the computer. The application names are pre-filtered to discard those that do not meet initial product filtering criteria that were used to collect sample data from which training datasets for training encoder-only transformer models were selected. Application names that meet initial product filtering criteria are classified using the encoder-only transformer models. Application names that have been classified by the encoder-only transformer models as those of supported products are post-filtered to discard those that do not meet the initial product filtering criteria of corresponding supported products. Application names that have not been discarded by the post-filtering are deemed to be those of software products installed on the computer.

Disclosed is a coherent optical transceiver for optical communication including a transmitter, a receiver, and a PIC. The transmitter includes a DAC and a driver. A modulator in the PIC limits a signal spectrum of an output optical signal within a Nyquist frequency band. The receiver receives an input optical signal from the PIC and converts the input optical signal to an input analog electrical signal. An ADC converts the input analog electrical signal into an input digital electrical signal indicative of the input optical signal at an ADC sampling rate. The DSP includes a linear filter to equalize intersymbol interference, a post filter, and an MLSE to determine symbols corresponding the input optical signal. The driver and the post filter are first order filters with transfer function G(z)=1+az−1, where a is between 0 and 1.

The present disclosure relates to picture encoding and decoding of image regions on tile-basis. In particular, multiple components of an input tensor including a first and second component in spatial dimensions is processed within multiple pipelines. The processing of the first component includes dividing the first component in the spatial dimensions into a first plurality of tiles. Likewise, the processing of the second component includes dividing the second component in the spatial dimensions into a second plurality of tiles. The respective first and second plurality of tiles are then processed each separately. Among the first and second plurality of tiles there are at least two respective collocated tiles differing in size. In case of compression, the processing of the first and / or second component includes picture encoding, rate distortion optimization quantization, and picture filtering. In case of decompression, the processing includes picture decoding and picture filtering.

Neural-network-based picture encoding and decoding of image regions may be performed on a tile-basis. An input tensor representing picture data is processed by the neural network, which includes at least a first and second subnetwork. The first subnetwork is applied to a first tensor where the first tensor is divided in a spatial dimensions into a first plurality of tiles. The first tiles are then further processed by the first subnetwork. After application of the first subnetwork, the second subnetwork is applied to a second tensor where the second tensor is divided in the spatial dimensions into a second plurality of tiles. The second tiles are then further processed by the second subnetwork. Among the first and second plurality of tiles there are at least two respective collocated tiles differing in size.

The utility model belongs to the technical field of spinning boxes, and discloses a spinning box filter which comprises a filter frame, an auxiliary mechanism is arranged in the filter frame, and the auxiliary mechanism extends to the outer side of the filter frame; the auxiliary mechanism comprises a connecting rod, when the filter screen plate needs to be replaced or cleaned due to long-term use, two electric push rods can be started, after the two electric push rods are separated from two positioning grooves correspondingly, the filter screen plate is in an unlimited state, then a worker can rotate the filter screen plate, at the moment, the connecting rod can support the filter screen plate, and the filter screen plate is prevented from being damaged. When the distance between the filter screen plate and the brush plate reaches a certain distance, the filter screen plate can be pulled upwards and then rotated, and when the filter screen plate rotates to a proper angle, the filter screen plate can be finally taken out from the interior of the filter frame, and through the structure, the filter screen plate can be quickly taken out from the interior of the filter frame, so that the filter efficiency is improved. And subsequent cleaning and replacing work is completed, and the situation that the blocking risk still exists is avoided.

Systems, methods, and instrumentalities are disclosed associated with neural network post filter for energy adaptation. Messages associated with energy adaptation operations may be signaled and / or used. The messages may be associated with neural network post-filter characteristics (NNPFC) and / or supplemental enhancement information (SEI). The message may be an NNPFC SEI message. Adaptation in terms of energy consumption of content (e.g., decoded content) may be performed, for example, based on a received NNPFC SEI message. An NNPFC SEI message may enable reduction of energy consumption of a content while used. An NNPFC SEI message may enable increase of energy consumption of a content, for example, if the increase in energy is associated with an increased quality of experience (QoE) associated with the content.

An apparatus for adaptive input picture selection in a post filter bank is disclosed herein. The apparatus includes circuitry configured to: receive an encoding of at least one picture; receiving signaling comprising information related to a group of at least one post-processing filter; and using information relating to the group of at least one post-processing filter to infer whether and how at least one post-processing filter of the group of at least one post-processing filter is used for at least one picture; wherein the information indicates at least one of whether and how to use at least one post-processing filter in the group when a previous post-processing filter in the cascade outputs a number of pictures different from a number of pictures serving as an input to a current post-processing filter in the cascade, or whether and how at least one post-processing filter is applied in a hierarchical manner.

A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

A framework in which post-filtering is performed has the problem that the post-filtering cannot be performed for each of partial regions of a picture by using annotated region information. A moving image decoding device according to one aspect of the present invention is characterized by comprising an image decoding device, a post-filtering device, and an auxiliary extension information decoding device, wherein auxiliary extension information that is decoded includes: auxiliary extension information including information indicating what kind of post-filtering is to be performed, and an identification number for identifying the kind of processing; auxiliary extension information including information as to whether or not to apply post-filtering for each picture, and a recognition number indicating which post-filtering is to be applied; auxiliary extension information indicating a region of interest of a decoded image; and auxiliary extension information including a recognition number indicating which post-filtering is to be applied to the region of interest of the decoded image.

This paper introduces procedures for estimating noise covariance across resource blocks with similar noise distributions. These procedures lead to more accurate estimates of noise occurring in a given channel because accuracy can be improved by increasing the number of resource blocks examined, while also identifying and filtering out those contaminated by interference. In summary, these procedures represent an automated method for detecting imbalances between noisy resource blocks and resource blocks that also contain interference, then forming clusters of resource blocks with similar characteristics to provide more samples that can be used to estimate the noise covariance.

Specific syntax elements define energy characteristics of a neural network post-processing filter (NNPF) used in a video coding system. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device using an extension metadata of a NNPFC-SEI message, thus allowing the encoding device to provide energy consumption information related to the NNPF and allowing the decoding device to handle its energy consumption by deciding whether or not it should apply the NNPF. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.

Specific syntax elements define a neural-network post-filter characteristics (NNPFC) supplemental enhancement information (SEI) message carrying information related to a tone mapping operation that can be applied as a post filter to the decoded image. This NNPFC SEI message may comprise information representative of the colour volume resulting from the tone mapping operation, information representative of characteristics of a target display and information representative of adaptation parameters, related to the adaptation of the luminance level, quality level and the energy adaptation level that result from the tone mapping operation are provided. The information representative of the colour volume resulting from the tone mapping operation may also be carried using a second SEI message. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.

According to a method of decoding an image to perform a machine vision task of the present disclosure, the method comprising decoding the image; applying a post-filter to a decoded image; obtaining, based on an output of the post filter, a restored image for the machine vision task, wherein the post-filter is trained based on a differentiable neural network based codec difference from a codec used to decode the image.

To provide a video encoding device and a video decoding device that use information on annotated regions to perform post-filtering using a neural network for each partial region of a picture.SOLUTION: In a video transmission system 1 consisting of a video encoding device 10, a network 21, a video decoding device 30, and an image display device 41, the video decoding device 30 has an image decoding device 31, a post-filter processing device 61, and an auxiliary extension information decoding device 91, and decodes auxiliary extension information having information indicating what kind of post-filter processing is performed and an identification number for identifying what processing is identified, information on whether or not to apply post-filter processing for each picture, auxiliary extension information having an identification number indicating which post-filter processing is applied, auxiliary extension information indicating a region of interest in a decoded image, and auxiliary extension information having an identification number indicating which post-filter processing is applied to the region of interest in the decoded image.SELECTED DRAWING: Figure 1

A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

This disclosure relates generally to video coding, and more particularly to in-loop filtering for video coding for machine tasks based on neural networks. For example, utilization of one or more neural network in-loop filter (NNLF) may be determined (either enabled or disabled) at various coding levels. Such determination may be based on output of one or more other VCM-codec-related processed. The usages of the NNLF may be signaled in the bitstream or may be implicitly derived from the output of the one or more other VCM-coded-related processes during decoding process in a decoder or during in-loop decoding process of an encoder. The signaling may be provided at a corresponding constructed syntax structure at one the various coding levels. The NNLF may be applied at various orders with one or more other in-loop or post filters.

Specific syntax elements define energy characteristics of a neural network post-processing filter (NNPF) used in a video coding system. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device, thus allowing the encoding device to provide energy consumption information related to the NNPF and allowing the decoding device to handle its energy consumption by deciding whether or not it should apply the NNPF. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.

Specific syntax elements define energy characteristics of a neural network post-processing filter (NNPF) used in a video coding system. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device using a NNPFC mode metadata of a NNPFC-SEI message, thus allowing the encoding device to provide energy consumption information related to the NNPF and allowing the decoding device to handle its energy consumption by deciding whether or not it should apply the NNPF. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.

Systems, methods, and instrumentalities are disclosed associated with neural network post filter for energy adaptation. Messages associated with energy adaptation operations may be signaled and / or used. The messages may be associated with neural network post-filter characteristics (NNPFC) and / or supplemental enhancement information (SEI). The message may be an NNPFC SEI message. Adaptation in terms of energy consumption of content (e.g., decoded content) may be performed, for example, based on a received NNPFC SEI message. An NNPFC SEI message may enable reduction of energy consumption of a content while used. An NNPFC SEI message may enable increase of energy consumption of a content, for example, if the increase in energy is associated with an increased quality of experience (QoE) associated with the content.

A mechanism for processing video data is disclosed. The mechanism includes determining that a plurality of neural network post-processing filters (NNPFs) or neural network post-processing filter banks (NNPFGs) defined in one or more supplemental enhancement information (SEI) messages share the same NNPF purpose. Conversion is performed between the visual media data and the bitstream based on the NNPF purpose.

Specific syntax elements define energy characteristics of a neural network post-processing filter (NNPF) used in a video coding system. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device, thus allowing the encoding device to provide energy consumption information related to the NNPF and allowing the decoding device to handle its energy consumption by deciding whether or not it should apply the NNPF. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.

Various embodiments describe an apparatus, a method, and a computer program product. An example apparatus includes at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: storing the encoded video data in a video track of a file; obtaining a post neural network filter characteristic (NNPFC) supplemental enhancement information (SEI) message including a neural network representation (NNR) bitstream; storing the NNR bitstream as an item of the file; storing, in a file, an NNPFC SEI message that does not include the NNR bitstream; and associating, in the file, the item with an NNPFC SEI message that does not include the NNR bitstream.

The invention discloses a dust cleaning structure and a computer case in the technical field of computer case cleaning, the dust cleaning structure comprises a mounting frame, the side face of the mounting frame is fixedly connected with a case side plate, the inner wall of the mounting frame is provided with two through filter grooves, the side face of the mounting frame is fixedly connected with two sliding shells corresponding to the filter grooves, and the sliding shells are fixedly connected with the case side plate. The sliding shell close to the side plate of the case is embedded into one part of the side plate of the case; by arranging the mounting frame, the first filter plate, the second filter plate, the first fixing device, the second fixing device and other structures, the first filter plate and the second filter plate are pushed to move by utilizing repulsive force and attractive force generated by a first electromagnet and a second electromagnet, and the second filter plate enters the mounting frame to play a filtering role; the first filter plate begins to break away from the mounting frame to move into the sliding shell just after the limiting is released, and after the first filter plate begins to move after the limiting is released, the second filter plate is fixedly limited in the mounting frame.

The utility model belongs to the technical field of picrasma quassioides extract production, and discloses a picrasma quassioides post-extraction filtering device which comprises a box body assembly used for containing an extracting solution and evenly distributing the extracting solution, and a driving assembly used for driving rotary filtering is arranged in front of the box body assembly. The filter assembly is arranged behind the driving assembly and is used for circularly rotating and filtering the concave filter screen; a residue removal assembly for scraping and collecting filter residues is arranged on one side below the filter assembly; the filtering assembly comprises two driving rollers symmetrically arranged on the two sides, and two first corner rollers are symmetrically arranged on the opposite sides of the two driving rollers. According to the picrasma quassioides post-extraction filtering device disclosed by the utility model, the filter screens are continuously switched through the arrangement of circulating rotary filtering, so that the filter screens are prevented from being blocked to influence the filtering speed; through the arrangement of scraping and collecting filter residues, the filter residues are cleaned, and blockage caused by adhesion of the filter residues is avoided; and through the arrangement of the concave filter, the filtrate is prevented from leaking along with circulating rotation.

Systems, methods, and instrumentalities are disclosed for storing a post processing order in dedicated code in a header of a region (e.g., a slice) and / or a picture. A video encoding and / or decoding device may include a processor configured to determine a post-filter order associated with a sub-region of a region or a picture. The post-filter order may be associated with at least two filters. The post-filter order may indicate a post-filter processing order. The device may send the post-filter order in a region header or a picture header. The device may generate a coding cost and / or a distortion. The coding cost and / or the distortion may be associated with the post-filter processing order.

A device may be configured to perform filtering based on information included in a neural network post-filter characteristics message. In one example, the neural network post-filter characteristics message includes syntax elements specifying a height and width of a luma sample array of a picture resulting from applying a neural network post-filter.