31 results about "Live coding" patented technology

A system and method for performing source buffering to transmit a real-time encoded scalable video to multiple transmission groups are provided. A streaming system for providing a scalable video bitstream for each multicast group may include an encoder source buffer to receive a scalable video bitstream and to store the received scalable video bitstream, and a plurality of subgroup transmitters, each to receive data of different layers in the stored scalable video bitstream from the encoder source buffer, to packetize the received data, and to transmit the packetized data to a terminal.

The invention belongs to the technical field of high-definition digital video compression coding and decoding and particularly relates to an address mapping algorithm for a transposed matrix based on a single-port SRAM in a 2D-DCT/IDCT under HEVC video coding standards. The address mapping algorithm is based on the algorithm of transposition of matrix blocks, that is, the matrix is divided into blocks first, the whole matrix and small-sized matrix blocks are transposed with the small-sized matrix blocks and basic elements as units, and transposition of the small-sized matrix blocks can be achieved directly by means of ranking. The algorithm is implemented on the basis of transform units (TUs) and supports four sizes of the TUs allowed by the HEVC, the fixed throughput rate 32 pixes/cycle can be realized, and the method is applicable to the 2D-DCT/IDCT with a high throughput rate and a high-performance video coder and decoder. According to the algorithm, by means of a hardware structure, the area can be reduced by 40% or so; compared with an existing address mapping algorithm for the transposed matrix based on the single-port SRAM, the algorithm has the advantages that on the condition of not increasing hardware expenses, a higher throughput rate can be obtained, and real-time coding of high-definition videos can be achieved.

The invention discloses a video transmission method and device, equipment and a medium, and the method comprises the steps: obtaining an image sequence, carrying out the real-time coding of the imagesequence based on a preset coding rate, and obtaining a corresponding key frame or coded frames so as to obtain a target frame group, wherein the target frame group comprises a key frame and a plurality of coded frames after the key frame; segmenting the acquired key frame or coded frames in real time based on a data packet segmentation length to obtain a plurality of data packets; filling the data packet with the data packet header information based on a preset data packet format to obtain a packaged data packet; and sending the packaged data packet to a receiving end based on a first presettime interval, so that the receiving end recombines the key frame and the coded frames based on the data packet header information of the packaged data packet to obtain a video picture. According to the method, H264 and H265 video stream transmission congestion, frame loss and the like can be improved in a poor network environment with large signal interference, weak signals and the like or a network environment with limited throughput.

The invention provides a video coding rate adjustment method, system and device, and a storage medium. The method comprises the following steps: acquiring a target coding rate of a video encoder; detecting a current coding rate of the video encoder; calculating a rate deviation value between a current coding rate and a target coding rate of the video encoder; obtaining an updated coding rate of the video encoder according to the rate deviation value, and controlling the coding rate of the video encoder based on the updated coding rate. By adopting the method and the device, the video coding rate is updated based on the difference value between the current coding rate and the target coding rate, so the problem that the real-time coding rate of the video coder cannot actually reach the target coding rate is solved, the adaptability between the coding rate of the video coder and the rate of subsequently sending video data is improved, the situation that the sending cache queue caches too much data is avoided, the situation of data packet loss is also avoided, and the accuracy and effectiveness of video data sending are improved.

According to the video generation method and device, the storage medium and the computer equipment provided by the invention, the Flutter function module is accessed into the client, and the Flutter function module is a function module which is developed based on the Flutter technology and realizes real-time animation video generation, so that after the client obtains the target animation file, the target animation file only needs to be loaded through the Flutter function module, a target video can be generated by rendering and encoding the target animation file in real time, and a video production function universal for different operating system platforms can be compiled only by developing a Flutter function module for one time through a Flutter technology in the process, so that a large amount of development cost input can be reduced, the research and development efficiency can be improved, and code maintenance is facilitated; moreover, after the target animation file is rendered into the video frame in real time, the video frame can be directly subjected to video coding output, so that the whole process has no extra performance loss, the output efficiency is higher, and the applicability is wider.

This application relates to a method and an apparatus for processing encoded data, a computer device, and a storage medium. The method includes: obtaining a to-be-encoded data frame; determining a complexity of the to-be-encoded data frame, the complexity representing at least a spatial texture complexity and a temporal motion intensity; obtaining a real-time encoding bit rate, the real-time encoding bit rate being an encoding bit rate of a previous encoded data frame of the to-be-encoded data frame; and adjusting an encoding parameter according to the real-time encoding bit rate and the complexity of the to-be-encoded data frame. The encoding parameter is adjusted according to the real-time encoding bit rate and the complexity, and different real-time encoding bit rates and complexities may correspond to different encoding parameters. In this way, the encoding parameter is applicable to different scenes, thereby achieving high adaptability.

The invention belongs to the technical field of three-dimensional video image processing, and particularly relates to an advanced residual error prediction method based on a reconfigurable array processor. The method comprises the following steps: acquiring texture image data and corresponding depth image data of a current coding unit of a texture image to be coded; when the depth data of the current coding unit belongs to a depth range in a pre-obtained advanced residual error prediction rule, obtaining an advanced residual error prediction algorithm of the current coding unit through matching of the advanced residual error prediction rule; performing predictive encoding on the texture image data of the current encoding unit by adopting the obtained advanced residual prediction algorithm,wherein the advanced residual prediction rule is obtained by counting an advanced residual prediction algorithm adopted by a video test image coding unit, and the video test image and the texture image to be coded belong to the same scene. The method is low in calculation complexity and short in coding time, and meets the real-time coding requirements of video images in a multimedia system.

The invention provides a VBR code rate control method for video real-time coding, which is applied to an IPPP structure for video real-time coding and comprises the following steps of: sequentially distributing target code rates for different coding units by adopting a grading strategy; the grading strategy is divided into a GOPs level, a GOP level and an image level; setting the upper and lower limits of allowable fluctuation for the current GOP target code rate according to the tolerance of the user to the code rate fluctuation, and comparing the instantaneous estimated code rate with the upper and lower limits of the allowable fluctuation of the target code rate to decide how to adjust the QP so as to reduce unnecessary fluctuation of the QP; according to the influence degree of the scene change on the code rate and the scene change position, a new code rate fluctuation upper limit and a new code rate fluctuation lower limit are calculated, and QP adjustment is guided; when scene change occurs in a video image, weighted summation is carried out through the estimated instantaneous code rate and the distributed target code rate fluctuation upper and lower limits to obtain a new code rate control upper and lower limits, the weight proportion is related to the position of the current frame in the GOP, the control intensity is higher when the current frame is closer to the I frame, and the control intensity is weaker when the current frame is farther from the I frame.