236 results about "Transcoding" patented technology

The invention provides a multi-agent-based code conversion system and method. The method comprises the following steps: preprocessing an input source code; performing block processing on the source code to obtain source code blocks, obtaining variable information and array size information of the blocks corresponding to the source code, and integrating the variable information and the array size information into complete variable information; fusing the code description file, the code blocks of the source codes and the variable information of the blocks corresponding to the source codes to generate target code blocks; debugging and checking the target code blocks in combination with the source code blocks; the code description file is used for guiding the intelligent agent to establish a jumping type relation in the code conversion process, and it is ensured that the generated target code better meets the actual function requirement of hardware; a block identifier is inserted into a long code to divide the long code into a plurality of blocks, so that the limitation on long code conversion is relieved; codes of different styles can be output by simply adjusting the cue word of the intelligent agent; through multiple times of debugging verification, the conversion quality of the target code is ensured.

Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A broadcaster determines a quality score of a content item and multiplexes a message indicating the quality score with data packets of the content item to a headend. The headend uses the quality score to determine an ABR ladder with a set of bitrates for the content item. The headend then transcodes the content item into the set of bitrates. The headend then transmits a plurality of network addresses, each corresponding to a stream at a particular bitrate, to a user gateway to enable the user gateway to make the streams available.

Systems and methods are described for transcoding at least a portion of a live media asset ingested from a media content source. The systems and methods may be configured to, in real time, after ingesting the at least a portion of the live media asset, determine parameters of the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, determine, based on the parameters, a plurality of optimal bitrate-resolution pairs for the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, cause the at least a portion of the live media asset to be transcoded based on the plurality of optimal bitrate-resolution pairs.

Methods and apparatus for video processing are disclosed. The processing can include video encoding, video decoding, or video transcoding. An example method includes performing a conversion between a video comprising a picture comprising one or more slices and a bitstream of the video, wherein the conversion conforms to a rule that specifies whether a deblocking filter is applied to one or more slices of a reference picture parameter set based on at least a first syntax element included in a picture parameter set, and wherein the first syntax element indicates whether the deblocking filter is disabled for the picture.

The invention discloses a distributed transcoding method and system. The method comprises the following steps: segmenting a video to be transcoded into N video slices; the method comprises the following steps of: calculating a load score of a resource node, scheduling a transcoding task according to the calculated load score of the resource node and the complexity of a video slice, transcoding the video slice in parallel, and finally merging the transcoded video slice according to a timestamp sequence to obtain a transcoded video. According to the invention, the corresponding resource nodes are allocated according to the overhead difference of transcoding of different video slices, the problem of load imbalance among the resource nodes is solved, and the average resource utilization rate of the whole cluster is greatly optimized and improved.

The invention relates to the technical field of material management, in particular to a cross-coding system material code automatic mapping and conversion method, which provides basic data support for dynamic mapping by acquiring historical material codes and mapping codes thereof as a training verification set and extracting structural feature vectors and code element value ranges of coding systems. A material code is subjected to sliding segmentation by utilizing a segmentation window technology, and a source coding system is determined by combining structural similarity and a code element value range, so that dynamic analysis and inverse coding processing of a complex coding structure are realized; and quality evaluation and parameter correction are carried out based on the similarity between the converted code and the mapping code, and limitation of static transcoding is avoided. According to the automatic mapping and conversion method for the material codes of the cross-coding system, the adaptive capacity and the dynamic adjustment capacity of transcoding are remarkably improved, and an effective scheme is provided for conversion and mapping of the codes in the large-scale material coding system.

The invention belongs to the technical field of optical transport networks (OTN), and particularly relates to a resource identifier storage and reading method for network management system data acquisition of OTN and WDM communication equipment, which comprises the following steps of: when the network management system data acquisition and reading are performed on the OTN and WDM communication equipment, performing bidirectional transcoding conversion between a resource identifier in a five-section layered form and an rmUID (Radio Mode Unified Identifier) identifier; a database static mapping table is prevented from being introduced, disk IO is reduced, the processing process is carried out in a memory, and the conversion efficiency is effectively improved; meanwhile, the 36-system is fully used for encoding each encoding segment in the rmUID, and under the encoding limiting condition that the longest bit of the rmUID limits 16 bits, the data encoding space is increased by about 10000 times compared with a 35-system and separator scheme, so that the utilization rate of the encoding space is expanded and increased to the maximum extent; the problems that in the prior art, conversion efficiency is poor, and the utilization rate of coding space is poor are effectively solved, and the method has good technical application prospects.

The disclosure relates to methods of generating or modifying a bitstream. These methods comprise obtaining (e.g., generating or receiving) the bitstream, wherein the bitstream contains coded time series data, determining a measure of distortion in relation to a portion of the coded time series data, and embedding distortion metadata into the bitstream, wherein the distortion metadata includes information indicative of the determined measure of distortion. The disclosure further relates to methods of transcoding or decoding such bitstream, as well as corresponding apparatus, programs, and computer-readable storage media.

The present application relates to the technical field of audio and video synchronization processing, more particularly to an audio and video synchronization method and system based on TS stream and a storage medium. The method comprises reading TS stream data frames and unpacking the TS stream data frames; a synchronization device acquires and calculates the difference between the PTS of the current frame and the previous frame, determines whether the difference is a TS abnormal data type; when the difference is a TS abnormal data type, the synchronization device further determines the type of the current frame; if the type of the current frame is a video frame, the synchronization device discards the current frame; if the type of the current frame is an audio frame, the synchronization device adjusts the offset value and determines whether the current frame is subjected to decoding processing; if the current frame is subjected to decoding processing, a transcoder performs decoding processing. The present application realizes normal transcoding and audio and video synchronization by offset detection and correction error avoidance stream.

The application discloses a high-definition playing method based on video background separation, comprising the following steps: S1, a streaming module pulls original data and sends the original data to a transcoding device; S2, the transcoding device performs secondary compression on the received original stream, extracts background content in the original stream and makes the background content into SEI segments; S3, the transcoding device transmits the secondary compressed data to the streaming module, at this time, the streaming module comprises the original stream and the compressed stream; S4, if a user watches a real-time stream, at this time, the compressed stream is transmitted to a client through a streaming media device, the client detects SEI, re-integrates the SEI segments, restores clear YUV background data, and superimposes the clear YUV background data on each frame of data of the compressed stream, so that the compressed stream is played in a clear state; the compressed stream enters a recording module and is stored, and in the recording process, an index module detects SEI frames carrying background data in real time and records indexes in disk storage, and the indexes correspond to recording segments.

Methods and apparatus for video processing are described. The processing may include video encoding, video decoding, or video transcoding. An example video processing method includes performing a conversion between a video including one or more pictures including one or more subpictures and a bitstream of the video. The one or more pictures and / or the one or more subpictures are included into the bitstream according to an order rule. The order rule specifies a relationship between a position of a current instantaneous decoder refresh (IDR) picture or a current IDR subpicture in the bitstream with respect to another picture referred to by an entry in a reference picture list for a current slice of the current IDR picture or the current IDR subpicture.

Techniques for video processing including video coding, video decoding, and video transcoding are described. One example method includes performing a conversion between a video comprising a video picture and a bitstream of the video, the video picture comprising one or more slices. The video picture refers to a picture parameter set, and the picture parameter set conforms to a format rule that specifies that the picture parameter set includes a column width list of N slice columns, where N is an integer. The (N-1) th slice column is present in the video picture, and the width of the (N-1) th slice column is equal to the (N-1) th entry in the explicitly included slice column width list plus a number of codec tree blocks.

The present disclosure relates to a cloud-based system designed to automate the packaging, validation, processing, and delivery of media content and its supporting items. The system processes video, audio, subtitles, artwork, and metadata according to predefined specifications, ensuring compliance with technical and qualitative requirements for various endpoints. The system performs validation, error correction, transcoding, file conversion, and packaging based on saved profiles or templates. By leveraging cloud-based workflows and optional human oversight, the system ensures efficient and accurate delivery of media content to any destination.

The application discloses a video cloud transcoding task scheduling method based on a HHO algorithm, and belongs to the technical field of cloud computing optimization scheduling, and comprises the following steps: S1: splitting a video stream into multiple GOP tasks capable of independent transcoding through a video splitter; and S2: establishing a target function required by video cloud transcoding task scheduling.In the application, a Harris hawk optimization scheduler is designed to schedule video transcoding tasks, a reverse learning strategy and a logarithmic spiral factor are used to improve the HHO algorithm, the convergence speed and optimization precision of the application are improved, a double-target function of transcoding time and transcoding overhead is established, the improved HHO algorithm is used to iteratively optimize the target function, and the best mapping scheme of the video transcoding task and the virtual machine resource is found out.The application can reduce the video transcoding completion time, reduce the user cost overhead, better meet the QoS demand of video users, and improve the task scheduling efficiency of cloud service providers.

This application provides a video transcoding apparatus, a video transcoding method, an electronic device, and a storage medium. The technical solution provided by this application adds a video transcoding apparatus to an electronic device. This video transcoding apparatus can provide a runtime environment adapted to the electronic device, allowing developers to develop general-purpose video transcoding algorithms and deploy them on a wide variety of electronic devices. Thus, video transcoding tasks are no longer limited to a few types of electronic devices but can be distributed across a wide variety of electronic devices, improving the scheduling flexibility of video transcoding tasks and providing the possibility of meeting increasingly demanding video transcoding requirements.

The application relates to the technical field of communication, and discloses a video transcoding method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring the playing time length of each frame of a source stream video after transcoding according to the output frame rate of the source stream video after transcoding; screening out and discarding the video frames that do not satisfy the monotone increasing of decoding time according to the playing time length and the timestamp information of each video frame in the source stream video; and transcoding the source stream video according to the output frame rate, updating the timestamp of each key frame to the initial timestamp of each key frame in the source stream video, and updating the timestamp of each non-key frame according to the timestamp of each key frame. By aligning the key frame timestamps of the video before and after transcoding in the video transcoding process, and adaptively updating the timestamps of the remaining non-key frames, the source stream video after transcoding can smoothly switch the definition of the video according to the key frames after timestamp alignment.

The application relates to the computer technical field, in particular to a page processing method and device, electronic equipment and storage medium, adopting a standard language, converting at least one original jump component based on an original language contained in an original application page into corresponding target jump components respectively; determining page jump indication information between the original application page and each other application page based on the at least one original jump component; adopting the standard language, converting at least one original page element based on the original language into corresponding target page elements based on the element conversion mode corresponding to each original page element contained in the original application page; and sending the obtained at least one target jump component, page jump indication information and at least one target page element to the search server for associated storage. In this way, the richness of search results can be improved.

The invention relates to a teaching audio and video transmission method and device, equipment and a storage medium, and the method comprises the steps: obtaining teaching audio data and teaching video data in response to teaching video recording, and carrying out the coding to obtain a teaching audio data stream and a teaching video data stream; interweaving the teaching audio data stream and the teaching video data stream according to a timeline, and determining teaching audio and video fragment data; and transmitting the teaching audio and video fragment data to a cloud server in real time, and storing the teaching audio and video fragment data in real time by the cloud server to obtain a teaching video supporting playback. According to the method, recording while uploading and storage and play can be supported, the waiting period of recording, transcoding, uploading and publishing can be shortened, and the teaching efficiency and the interaction timeliness are improved. Meanwhile, a fragmented data transmission mechanism enhances the adaptability to network fluctuation, solves the problem of sound and picture synchronization, improves the stability and reliability of transmission, and improves the user experience during playing.

The invention provides a video transcoding method, device and equipment and a computer program product, and relates to the technical field of video processing. The method comprises the following steps: receiving a target video; performing format analysis on the target video, and determining a source format of the target video and a to-be-transcoded target format; determining a video format supported by the VPU cluster; if it is judged that the source format is not within the video format range supported by the VPU cluster and the target format is within the video format range supported by the VPU cluster, determining that the target format is within the video format range supported by the VPU cluster; and controlling the CPU cluster to carry out software decoding on the target video, and controlling the VPU cluster to carry out hardware coding on decoded video data so as to complete video transcoding. According to the embodiment of the invention, the compatible range of the input video format can be expanded, and meanwhile, the efficient hardware acceleration advantage of the VPU is kept.

This disclosure relates to the field of data processing technology, and discloses a video processing method, apparatus, electronic device, and storage medium. The video processing method, applied to a terminal device, includes: acquiring a video; verifying the video; uploading the video to a server when it is determined, based on the verification result, that the video has not been edited; and receiving first indication information from the server, the first indication information being configured to indicate whether the video has been successfully uploaded to the server. This disclosure can distinguish between source videos and edited videos, so that when the video is an unedited source video, no transcoding file is obtained, reducing the memory usage of the terminal device and improving the success rate of video upload.

Embodiments of the present application provide a video transcoding method, a video display method, an apparatus and an electronic device, which relate to the field of video processing technology. The video transcoding method includes: acquiring a first image in an initial images obtained by stitching multi-channel video images; determining an initial resolution of each of initial sub-images; wherein each initial resolution is not greater than a maximum resolution of input data that can be supported by a preset encoder, and a target resolution of a target sub-image obtained after transcoding each initial sub-image is not greater than a maximum resolution of output data that can be supported by the preset encoder; segmenting a to-be-cut image into respective initial sub-images based on the respective initial resolutions; encoding each initial sub-image according to a target resolution of a target sub-image after transcoding this initial sub-image by using a preset encoder, to obtain each of target code-streams. Compared with the prior art, by applying the solution provided by the embodiments of the present application, it is possible to transcode the video screen obtained after stitching multi-channel video screens.

A multi-component system for identity resolution and customer segmentation utilizes bitmap encoding to overcome storage and processing limitations of traditional approaches. The system comprises a bitmap encoding processor that associates binary strings with user identities in an identity graph, where each bit corresponds to a unique segment and indicates user membership through bit state. A metadata association table stores descriptive information for each segment and dynamically links to the encoding processor for automatic updates. The binary strings serve dual purposes as both segment representations and user identifiers, eliminating separate identifier systems. The system can be implemented as a software development kit and deployed across various hardware architectures, making previously cost-prohibitive large-scale segmentation operations computationally feasible.

A video transcoding method and apparatus, a device, a storage medium, and a video-on-demand system. The video transcoding method includes: determining a target video transcoding mode based on a video distribution scenario of a video to be transcoded (S110); and performing a transcoding operation on the video to be transcoded based on the target video transcoding mode to obtain a transcoded video file corresponding to the video to be transcoded, and store the transcoded video file, so as to generate a target playback video for playback based on the transcoded video file when a video playback request is detected (S120).

The invention discloses a design draft transcoding method and device, a medium, electronic equipment and a program product, and relates to the technical field of computers, and the method comprises the steps: obtaining an initial code of a to-be-transcoded design draft in response to a received transcoding request for the to-be-transcoded design draft; the initial code is optimized through a first agent, an optimized code is obtained, the optimized code is obtained by executing optimization operation on the initial code through the first agent in combination with a cue word rule, and the optimization operation comprises at least one of component reconstruction, component abstract rendering, style abstraction, component renaming and attribute definition. According to the method, optimization processing such as component reconstruction, component abstract rendering, style abstraction, component renaming and attribute definition is performed on the initial code by utilizing the first agent, so that the code acquisition quality can be improved to a great extent.

A method includes: ingesting a video; initializing a timed command stream synchronized to the video; emulating transcoding of the video to derive a sequence of video characteristics of the video; populating the timed command stream with the sequence of video characteristics; segmenting the video into a series of mezzanine segments. The method further includes: for each mezzanine segment, in the series of mezzanine segments: retrieving instream video characteristics, in the sequence of video characteristics, contained within a first segment of the timed command stream corresponding to the mezzanine segment; retrieving upstream video characteristics, in the sequence of video characteristics, preceding the first segment of the timed command stream and informing transcoding of the mezzanine segment; transforming the instream video characteristics and the upstream video characteristics into a set of transcode commands; storing the set of transcode commands in command frames; and inserting the command frames into the mezzanine segment.

The embodiment of the invention provides a transcoding task allocation method and device and a readable storage medium, after an electronic device receives a transcoding task from a terminal, when an absolute idle card of an encoding module is sufficient, the absolute idle card is preferentially and randomly selected and the transcoding task is allocated; and when the absolutely idle cards of the coding module are not sufficient, the relatively idle cards are selected and the transcoding tasks are allocated, so that the purpose of improving load balance is achieved while the hardware transcoding cards are randomly selected. Besides, in the field of AI analysis, after the edge AI gateway receives the AI request from the terminal equipment, randomness and load balance are taken into consideration when the service node is selected, and poor real-time performance and service node performance bottleneck caused by accumulation of a plurality of AI requests to the same service node are avoided.

Systems, methods, and apparatus, including computer programs encoded on a computer-readable medium, for encoding, decoding, or transcoding digital video are described. One example method of video processing includes performing a conversion between a video and a bitstream of the video, wherein the bitstream conforms to a sequence of sub-bitstream extraction processes defined by a rule, the rule specifying that (a) the sequence of sub-bitstream extraction processes excludes an operation that removes all supplemental enhancement information (SEI) network abstraction layer (NAL) units that satisfy a condition from an output bitstream, or (b) the sequence of sub-bitstream extraction processes includes an operation that replaces a parameter set with a replacement parameter set prior to removing the SEI NAL units from the output bitstream.

The application discloses a kind of relay protection device bare core program log recording method and system.The relay protection device chip used in the method and system is multicore AMP architecture chip, wherein CPU core is divided into bare core and system core operation, and there is shared memory between bare core and system core.For the log recording of non-interrupt program, the log content is converted into ASCII code using bare core printf interface, and then placed into shared memory and output by serial printing.For the log recording of interrupt program, logmsg interface is used to only place log content into queue for saving, and the data in queue is converted into ASCII code in a special information processing task, and then placed into shared memory and output by serial printing.System core log storage thread reads LOG information in shared memory, and then writes log in the form of text into power-fail-safe file system Tpsfs.The method and system of the application can fully meet the requirements of relay protection device in different execution delay requirements to complete log recording, and improve the efficiency of log recording.

The utility model discloses a radio and television monitoring all-in-one machine which comprises an audio board, a video board and a power supply module. Wherein the audio board is provided with a main control CPU, an FM / AM receiving monitoring module and a communication and positioning navigation module; the video board is provided with a decoding monitoring module, an IP code stream processing module, a communication interface module and a gigabit switching module. The radio and television monitoring circuit adopts a modular design and comprises an audio card and a video card, and the function of the radio and television monitoring all-in-one machine can be achieved by directly accessing the video card on the basis of the audio card. An original system which is divided into a main control board, a monitoring board and a transcoding board is integrated into two boards which can be disassembled and assembled, different functions are achieved, cost is greatly saved, and the resource utilization rate is improved.

The application discloses a 5G video stream edge intelligent regulation and control system with adaptive code rate, relates to the technical field of edge video regulation and control technology, and comprises a global snapshot modeling module, a hierarchical cache arrangement module, a version closed-loop correction module and an experience constraint distribution module. The snapshot module collects link observation, edge resource margin, terminal session state and interactive event count, calculates a rate matrix and a time delay matrix, decomposes a propagation item and a transcoding item of end-to-end live broadcast time delay, and encapsulates a state snapshot. The cache arrangement module analyzes hierarchical requests, divides shared layers and non-shared layers, generates a cache plan, a scheduling plan and a code rate version table under the constraints of capacity, availability and inter-layer dependency, and executes hierarchical fallback synchronous correction of code rate when resources are insufficient. The closed-loop correction module completes unique distribution of terminals to edge servers and corrects code rate under the constraints of bandwidth and computing power. The experience constraint distribution module executes hard check, conflict positioning, minimum disturbance incremental replacement and versioned rollback output.