30results about How to "Save transcoding time" patented technology

The embodiment of the invention provides a media format conversion method and a media format conversion system based on cloud computing architecture. The method mainly comprises the following steps that a transcoding platform based on the cloud computing architecture is constructed on the network side, and the transcoding platform is used for receiving a media file which is submitted by a browser of a client and needs format conversion and dividing the media file into a plurality of sub-media files; according to a set mission control strategy, a plurality of transcoding servers are selected from a transcoding server cluster in the transcoding platform, and each transcoding server is used for performing format conversion on one sub-media file, so as to obtain one transcoding sub-media file; and all of the transcoding sub-media files are combined to obtain a transcoding media file of the media file, and the transcoding media file is returned to the browser of the client. By using the method and the system provided by the embodiment of the invention, the conversion problem of various video formats is effectively solved, the transcoding time is reduced, and the problem that much time is consumed in format conversion of a large video file and multiple video files is solved.

The invention provides an H.264-to-H.265 video transcoding method which comprises an H.264 decoding process and an H.265 encoding process. According to the H.264 decoding process, code streams conforming to the H.264 standard are completely decoded into a pixel domain, and the encoding macro block type, the encoding block mode and the residual sum of each macro block of all frames I and the encoding macro block type, the motion vector, the reference frame and the residual sum of each macro block of all frames P are extracted in the decoding process. According to the H.265 encoding process, H.265 encoding is carried out according to the H.264 decoding result to obtain H.265 video, corresponding processing according to CTU setting and frame types is included, search branches are properly reduced, and encoding complexity is reduced. Therefore, video transcoding time can be effectively reduced under the condition of guaranteeing that video quality is slightly reduced and the code rate is slightly increased, and popularization of the H.265 standard and network bandwidth saving are facilitated.

The invention is suitable for the technical field of audio-video playing, and discloses a method and a system for parallel trans-coding of video slicing. The method comprises the following steps of: disassembling an original video file into a plurality of first video segments; simultaneously trans-coding the first video segments after disassembling into second video segments; and assembling a plurality of the second video segments after trans-coding into a video file with a new format. In the method, by disassembling the original video file into the plurality of the first video segments, simultaneously trans-coding the first video segments after disassembling into the second video segments, and assembling the plurality of the second video segments after trans-coding into the video file with the new format, not only the trans-coding time is saved and the trans-coding efficiency is improved, but also the texture of a picture is well ensured, and the method and the system are favorable for popularizing an audio-video playing device.

The invention discloses a method for transocding distribution based on a cloud platform, and the method for transcoding distribution is used for improving transcoding efficiency. The method for transcoding distribution comprises the following steps: obtaining transcoding complexity of each video clip to be transcoded and transcoding performance values of calculating equipment which form the cloud platform; according to the transcoding complexity of each video clip to be transcoded and the transcoding performance values of the calculating equipment, obtaining a needed first average time of each one of the calculating equipment carrying out transcoding for the video clip distributed for the each one of the calculating equipment; judging whether needed transcoding time of a first calculating device for transcodiing a first video clip is larger than the first average time; if a result is no, distributing the first video clip to the first calculating device to carry out transcoding. The invention further discloses a device used for achieving the method for transcoding distribution and a method and device for transcoding.

The invention relates to a transcoding technology, in particular to a distributed media format transcoding method. Aiming at the defects of the prior art, the invention proposes the distributed media format transcoding method which can carry out the real-time transcoding of media content. The key points of the technical proposal can be summarized as follows: a. a media source device carries out the sub-chip processing on a media source; b. the media source device carries out selective distribution on sub-chips; c. a media source transcoding device carries out the transcoding operation on the sub-chips according to a target format which is designated by the media source device; d. the media source transcoding device returns the sub-chips after the completion of the transcoding to the media source device after the completion of the sub-chip transcoding and simultaneously returns the serial numbers of the sub-chips; and e. the media source device carries out the sequencing and the merging of the sub-chips after receiving the sub-chips after the transcoding according to the serial numbers of the sub-chips so that a complete media source after the transcoding is formed by connection. The distributed media format transcoding method has the advantages that the distributed media format transcoding method can realize the real-time transcoding function and save the transcoding time.

The invention discloses an AVS-to-HEVC optimal video transcoding method based on a support vector machine. The method comprises steps of collecting characteristic vectors of AVS code streams; learning the characteristic vectors through the support vector machine and obtaining a training model; classifying the extracted AVC characteristic vectors into two types comprising one type that CUs arranged at corresponding positions in the HEVC are divided, and the other type that the CUs arranged at the corresponding positions in the HEVC are not divided; predicting whether the CUs are required to be divided through the training model in a transcoding stage; performing 2N*2N mode calculation and SKIP mode calculation under the depth of the current HEVC when the current CUs are required to be divided, and selecting an optimum prediction mode from the two modes; and performing optimal mode selection according to an HEVC standard coding process when the current CUs are not required to be divided according to the prediction. The method combines basic ideas of machine learning, a whole transcoding process is divided into a training stage and the transcoding stage, the training model is obtained through learning, the division of the CUs in the HEVC is predicted, and a rapid mode selection algorithm is combined in the method, so that the transcoding speed is increased, and the whole video quality of transcoded videos is guaranteed.

A distributed video transcoding method and an associated device and system are disclosed. The method is characterized by comprising the steps in which, a submit transcoding client carries out segment identification of duration of video files, obtains each segment duration and segment initial time of each segment duration, and a transcoding scheduling end transmits a transcoding executing message to each target transcoding executing end, each transcoding executing message including a storage address of the video file, a video ID, the segment duration and the segment initial time of the segment duration; each target transcoding executing end acquires the video file according to the storage address and the video ID that are included in the received transcoding executing message, transcodes the corresponding video in the video file defined by the segment duration and the segment initial time of the segment duration that are included in the transcoding executing message, and acquires transcoding results; and each target transcoding executing end merges the obtained transcoding results and obtains the video file. The invention can shorten the video transcoding time and improving the video transcoding efficiency.

The invention discloses direct mode selection based H.264 / AVC (Advanced Video Coding) fast transcoding method and device, which mainly overcomes the defects of high operation complexity, poor real-time performance and high occupancy rate on operation / storage and other resources in the prior art. The transcoding device comprises a decoder, a macroblock distortion estimation module, a macroblock mode selection module and a coder, wherein the decoder decodes a compressed code stream to obtain a macroblock mode, movement information, a residual and a decoding frame image; the macroblock distortion estimation module and the macroblock mode selection module perform macroblock distortion estimation and fast mode selection according to the decoding information and the reference frames of the coder and the decoder; and the coder performs RDO (Remote Data Objects) judgment to the I frame of the current GOP (Group of Pictures) and the first P frame, and counts the average distortion of the firstP frame in all optimal interframe mode as a threshold for the fast mode selection, otherwise, the fast coding is carried out on the decoding frame image to obtain the H.264 / AVC compressed code streamwith a set target code rate. The invention greatly reduces the operation complexity of transcoding and decreases the time on transcoding, and can be applied to the real-time multimedia transmission and other data transmissions.

The invention discloses a video file cutting method for distributed transcoding, and a distributed transcoding method. The method comprises the steps: receiving a source file; carrying out the de-multiplexing of the received source file, and obtaining a video file and an audio file; taking GOP as a unit to segment the video file, and obtaining segmented video files; calculating the time duration when a plurality of transcoding computers process the segmented video files; calculating the segmented video files according to the calculated time duration of each transcoding computer; and transmitting the segmented video files to the corresponding transcoding computers according to the calculation results. The methods provided by the invention enable each transcoding computer to complete transcoding as simultaneously as possible, save transcoding time, and improves the distributed transcoding efficiency.

The invention provides a distributed large-scale video transcoding system, and belongs to the technical field of big data and video processing. According to the method, large-scale video transcoding is implemented through adoption of a distributed method on a big data processing platform Hadoop. In the method, large-scale video data is stored with an HDFS file system, distributed processing is performed with a MapReduce programming module, and processing of videos is implemented by means of a multimedia library Xuggler. The storage and transcoding of the large-scale video data are implemented with the expandability and stability characteristics of the distributed file system; the defects of high hardware requirement, difficulty in maintenance, difficulty in expansion and the like in the conventional centralized storage are overcome; and the ever-increasing storage and transcoding demands of the large-scale video data are met dynamically.

The invention discloses a real-time transcoding method for use in a frame rate reducing process. The method comprises the following steps: judging whether a current frame needs to be extracted and discarded or not under an equal-interval extraction situation according to a frame rate of an input code stream and a frame rate of a target code stream; extracting and discarding a first non-reference frame after the current frame if the current frame needs to be extracted and discarded and is a reference frame, and extracting and discarding the current frame if the current frame needs to be extracted and discarded and is a non-reference frame; and decoding the non-discarded current frame to obtain a current decoded frame, and predicting a frame type and macroblock coding information of a transcoded frame according to a frame type and macroblock coding information of the current frame in order to code the current decoded frame. The invention also discloses a real-time transcoding device for use in the frame rate reducing process. According to the real-time transcoding method and device for use in the frame rate reducing process provided by the invention, the reference frame is kept in the frame rate reducing process, and the frame type and the macroblock coding information of the transcoded frame which corresponds to the current frame are predicted to perform transcoding, so that efficient real-time transcoding is realized.

The invention discloses a distributed video transcoding method. The distributed video transcoding method comprises the following steps: a main server segments a video file uploaded by a user to form video segments; a distributed storage device receives the video segments sent by the main server and analyzes the video segments to obtain key / value pairs; a corresponding number of key / value pairs, corresponding to a transcoding task quantity, are acquired from a server according to the transcoding task quantity; the video segments in the distributed storage device are downloaded according to the key / value pairs; the downloaded video segments are transcoded; the distributed storage device receives the video segments after being transcoded from the server and then analyzes the transcoded video segments to obtain transcoded key / value pairs; the main server downloads transcoded video segments from the distributed storage device according to the transcoded key / value pairs and then combines the downloaded video segments. Based on the distributed video transcoding method, the video transcoding time is effectively reduced, and the transcoding efficiency is improved. The invention also discloses a distributed video transcoding device.

The embodiment of the application discloses a transcoding method and apparatus. The method comprises: a corresponding relationship between a plurality of definition values and resolution ratios is established in advance; a first definition value and a second definition value are selected from the plurality of definition values and a first resolution ratio and a second resolution ratio that correspond to the first definition value and the second definition value respectively are determined; according to the first resolution ratio and the second resolution ratio, transcoding is carried out on a first part content of a media file according to a preset transcoding rule, and a first real-time quantization parameter value and a second real-time quantization parameter value in the transcoding process are recorded; whether the first real-time quantization parameter value and the second real-time quantization parameter value meet a preset checking rule is determined; if not, the first resolution ratio and / or the second resolution ratio are adjusted; and according to the adjusted first resolution ratio and / or the second resolution ratio, transcoding is carried out on the part without transcoding in the media file. The embodiment of the application discloses a transcoding method and apparatus, so that the transcoding speed of the media file can be increased.

The embodiment of the present invention discloses a video transcoding method and device. A video transcoding method includes: determining each transcoding device that stores the first video file to be transcoded in the memory, and among the determined transcoding devices Any one of the transcoding devices includes a memory and a processor; obtain the determined processing performance of the processors of each transcoding device; select one of the determined transcoding devices according to the obtained processing performance A transcoding device for performing a transcoding task; controlling the processor in the selected transcoding device to transcode the first video file to be transcoded stored in the memory of the transcoding device, and transcoding the transcoded video file The file is stored in the memory of the transcoding device. Applying the above-mentioned technical solution, when performing video transcoding, it is only necessary to transmit video files between the processor and memory in one transcoding device, avoiding the use of the network to transmit files, saving transcoding time, and improving improved transcoding efficiency.

An embodiment of the invention discloses a method, a device and a system of video transcoding. The method of video transcoding comprises the following steps that: a video file to be transcoded and a target code rate of the video file to be transcoded are obtained; the video file to be transcoded is divided to obtain at least two video sub-files; and the video sub-files obtained by division are distributed to a plurality of transcoders and the target code rate of the video file to be transcoded is transmitted to the transcoders distributed with the video sub-files, so that the video sub-files obtained through distribution are transcoded by the transcoders distributed with the video sub-files according to the target code rate of the video file to be transcoded, and the video sub-files with the target code rate are generated, wherein any one video sub-file is only distributed to one transcoder. By applying the technical scheme, the embodiment of the invention is capable of transferring the transcoders to transcode one video file synchronously, so that the transcoding time is reduced and the transcoding efficiency is improved.

The invention discloses an MPEG-2 (Moving Pictures Experts Group-2) to H.264 fast video transcoding method, comprising the following steps of: firstly saving coding macro block modes of macro blocks in a P frame, coding block modes of the macro blocks and four 8*8 direct current coefficients in the macro blocks in MPEG-2 original video decoding process; secondly dividing all macro blocks in the Pframe into five different types of macro blocks according to the saved coding macro types and the coding block modes; thirdly, only self-adaptively selecting the optimal coding mode from the coding modes having larger relativity with the performances of the macro blocks to code the macro blocks in the H.264 coding process. The method largely reduces the number of candidate coding modes for coding the macro blocks in the P frame in the premise of ensuring that the reduction of the video quality is a little and the increment of the code rate is not much, thereby effectively reducing the time complexity of macro code coding mode selection in the H.264 coding process, and reducing the MPEG-2 to H.264 video transcoding time, i.e. improving the MPEG-2 to H.264 video transcoding efficiency.

The present invention proposes a video transcoding method from H.264 to H.265, including the H.264 decoding process and the H.265 encoding process. Decode to the pixel domain, and extract the coded macroblock type, coded block mode, residual of each macroblock in all I frames, and the coded macroblock type, motion vector, reference frame and Residual: The H.265 encoding process is to perform H.265 encoding according to the H.264 decoding result to obtain the H.265 video, including performing corresponding processing according to the CTU setting and frame type, appropriately reducing search branches, and reducing encoding complexity Spend. Therefore, the present invention can effectively reduce video transcoding time while ensuring less video quality degradation and little bit rate increase, and contributes to the promotion of the H.265 standard and saves network bandwidth.

The invention discloses an efficient self-adaptive video transcoding system and method based on data mining. The method includes the following steps that step1, a video, to be transcoded, of a first compression standard is input; step2, the video to be transcoded is decoded to generate a video to be encoded, and decoding information of all macro blocks of all video frames is extracted; step3, the extracted decoding information is input in an encoding macro block mode decision-making tree, and encoding macro block modes for all the micro blocks of all the video frames of the video to be encoded are determined through the encoding macro block mode decision-making tree; step4, according to the determined encoding macro block modes and motion vectors of all the micro blocks, all the micro blocks of all the video frames of the video to be encoded are encoded according to a second compression standard, so that the video to be encoded is encoded to be a transcoded video of the second compression standard.

The invention provides an H.265 rapid transcoding method based on code stream bit number and block division mapping. The information in the input code stream is fully utilized to guide the H.265 coding, the operand of block division and mode selection is reduced to greatly shorten the transcoding time, and meanwhile, the subjective and objective visual quality of the transcoded video can be guaranteed. The code stream format is not limited to H.265 isomorphic transcoding, and the technology supports H.264 / AVC or H.263++, even earlier heterogeneous transcoding of MPGE standards.

The invention discloses a video file processing method, device, video server and system, belonging to the technical field of communication. The method includes: acquiring a video file, dividing the video file into at least two video sub-files; sending the at least two video sub-files to a transcoding service unit for transcoding respectively, and obtaining at least two transcoding service A transcoded video subfile of the unit; a transcoded video file is obtained according to the at least two transcoded video subfiles. In the present invention, the entire video file is divided into multiple video sub-files for transcoding respectively. When a video sub-file fails to be transcoded, it will not affect the transcoding of other video sub-files. Just transcoding, no need to re-transcode the entire video file, which greatly shortens the transcoding time of the video file.

The invention provides a distributed-based large-scale video transcoding system, which belongs to the technical field of big data and video processing. The method of the present invention adopts a distributed method on the big data processing platform Hadoop to finally realize large-scale video transcoding, the method utilizes the HDFS file system to store large-scale video data, utilizes the MapReduce programming model to carry out distributed processing, and uses the multimedia library Xuggler implements video processing. The invention utilizes the scalability and stability characteristics of the distributed file system to realize the storage and transcoding of large-scale video data, solves the shortcomings of traditional centralized storage such as high hardware requirements, difficult maintenance, and difficult expansion, and dynamically adapts to the growing Large-scale video data storage and transcoding requirements.

The invention provides a transcoding method from H.264 / SVC(scalable video coding) to H.264 / AVC(advanced video coding) based on a video on demand system of P2PVoD, belonging to the field of video transcoding. With the adoption of SVC self-adapting transcoding, an SVC document is divided into independent multi-layer documents according to layers by a separator, before transcoding, a space layer and a quality layer are subjected to a self-adaption process according to the terminal ability, layers not needed are abandoned to enable the transcoding process to effectively reduce unnecessary time consumption, and the video quality matching with the ability of a client end is provided for the client end; with the adoption of a method combining a pixel region and an alternation region, time complexity is lowered, and error shift is effectively controlled; with the adoption of an encoding control optimized algorithm based on Lagrangian, when an average distortion function is being solved, a sum of absolute difference (SAD) is used for substituting a sum of squared difference (SSD), and the calculation complexity is simplified; and with the adoption of a processing mechanism by parallel threads based on GOP (group of pictures), the single-encoded GOP is processed by parallel threads, and thus the transcoding time is greatly reduced.

The present invention provides a H.265 fast transcoding method based on the number of code stream bits and block division mapping, fully utilizes the information in the input code stream to guide H.265 encoding, reduces the calculation amount of block division and mode selection, and The transcoding time is greatly shortened, and the subjective and objective visual quality of the transcoded video is also guaranteed. The code stream format of the present invention is not limited to H.265 isomorphic transcoding, and the technology will support H.264 / AVC or H.263++, and even earlier heterogeneous transcoding of MPGE standards.

The application discloses a video file segmentation method and a distributed transcoding method. The video file segmentation method for distributed transcoding includes: receiving a source file; demultiplexing the received source file to obtain a video file and an audio file; dividing the video file in units of GOP to obtain segmentation After the video file; calculate the duration of the divided video file processed by a plurality of transcoding computers respectively; according to the calculated duration of the divided video file processed by each transcoding computer, divide the divided video The file is calculated; and according to the calculation result, the divided video file is sent to the corresponding transcoding computer. The video file segmentation method and distributed transcoding method proposed in this application enable each transcoding computer to complete the transcoding operation at the same time as possible, save transcoding time, and improve the transcoding efficiency of distributed transcoding.