Method and system for implementing parallel encoding of high-definition video

Abstract

The invention discloses a system for realizing high-definition video parallel coding, which includes a image segmentation module, a subcode stream merge module, a storage module, a video modulus conversion module and several image coding modules; the video modulus conversion module is connected with at least one image coding module; the image coding module is connected with the image segmentation module and the storage module; the image segmentation module divides the current image into several sub-images; the image coding module independently encodes and compresses the divided sub-images to create subcode stream; the subcode stream merge module subsequently merges the sub-images to create and output coding stream of the current image. The method of dividing the coded image into sub-images for parallel coding of the invention avoids problem of flow bottleneck caused by over-load of some module in prior parallel method based on module flow, which can flexibly distribute sub-images with appropriate size according to processing capacity of target processor and keep high-parallelism of multiple processors, thereby upgrading performance of the whole system.

Description

technical field [0001] The invention belongs to the technical field of digital video encoding and decoding, and relates to a video encoding implementation method, in particular to a real-time H.264 high-definition video encoding implementation method and system. Background technique [0002] With the accelerated popularization of the digitalization process, people have put forward higher requirements for video, and various forms of video provided by TV, content, digital cameras, etc. are changing to high-definition. The storage and transmission of high-definition video content with a huge amount of data is inseparable from video compression and decompression technology. The new-generation video compression standard H.264 has been more and more widely used in the field of high-definition video because it has better performance than traditional standards. However, on the one hand, due to the huge amount of high-definition video data that needs to be compressed, on the other h...

AI Technical Summary

Problems solved by technology

However, the problem is that the execution time of a single module can easily become the performance bottleneck of the entire parallel algorithm

For example, due to the large time-consuming of the module responsible for prediction calculation, it will often lead to the idle waiting of its subsequent transformation, quantization, entropy coding, inverse quantization, inverse transformation, reconstruction and other modules, thus reducing the performance of the entire system

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