Method for low-complexity video transcoding from H.264 to HEVC based on statistic analysis

Abstract

The invention discloses a method for low-complexity video transcoding from H.264 to HEVC based on a statistic analysis. The method comprises the first step of decoding original H. 264 video streaming, wherein in the process of decoding, the macro block coding bit number, the macro block coding mode and the motion vector field of a current decoding frame are extracted; the second step of mapping areas covered by HEVC coding tree units to all macro blocks of the current decoding frame, calculating the coding complexity of each area and determining the searching depth ranges of each HEVC coding tree unit according to the coding complexity; the third step of carrying out motion estimation in a level-by-level mode according to the corresponding searching depth range of each coding tree unit, and carrying out corresponding HEVC recoding. By means of the method, the speed of low-complexity video transcoding from H.264 to HEVC can be obviously improved, low rate-distortion is obtained, and the method is very high in practicability.

Description

technical field [0001] The present invention relates to the field of video transcoding, in particular to a low-complexity video transcoding method from H264 to HEVC based on statistical analysis. Background technique [0002] One of the trends in the development of video coding technology is to pursue higher coding efficiency. The H.264 video coding standard has achieved great success in improving coding efficiency and coding flexibility. It enables digital video to be effectively applied to various networks. types and engineering fields, however, the diversification of services, the popularity of high-definition video, and the emergence of ultra-high-definition formats (4K × 2K or 8K × 4K resolution) The next-generation video coding standard that is more efficient than H.264 coding has proposed strong demand. [0003] In this context, MPEG and VCEG established the Joint Video Coding Collaboration Team (JCT-VC) in 2010. After years of hard work, they developed the successor...

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Problems solved by technology

[0012] Among them, Fernández-Escribano and others creatively proposed a new method of using machine learning and data mining tools to reduce the complexity of MPEG-2 to H.264 transcoding, but these algorithms cannot be directly and effectively applied to HEVC transcoding, Recently, some scholars have conducted research on HEVC encoding fast algorithms. For example, Lee et al. used the same position encoding tree structure in the reference frame or the previous frame to predict the segmentation structure of the current encoding tree unit, which effectively accelerated the encoding process.

[0013] In addition, there are fast algorithms for HEVC residual quadtree coding, and fast algorithms for HEVC motion estimation. These algorithms effectively reduce the computational complexity of HEVC coding while maintaining good rate-distortion performance. However, these algorithms do not Using the code stream information, the computational complexity of the transcoder from H.264 to HEVC cannot be well reduced

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