A Complexity Control Method for High Efficiency Video Coding

Abstract

The invention discloses a complexity control method of efficient video encoding. All P frames in the fourth image group to the last image group in a to-be-processed video are encoded by the following steps in an encoding process: allocating target encoding complexity to the image groups; then allocating target encoding complexity to the P frames in the image groups according to frame layer complexity ratios and the target encoding complexity of the image groups; allocating target encoding complexity to encoding tree units in the P frames according to complexity allocation weights of the encoding tree units and the target encoding complexity of the P frames, and performing normalization to obtain the final target encoding complexity; and finally determining a maximum division depth according to the final target encoding complexity of the encoding tree units in the P frames in the image groups, and encoding by using the maximum division depth. The complexity control method has the advantages of effectively realizing accurate control and gradability of HEVC encoding complexity on the premise of ensuring the encoding complexity control precision and the encoding rate distortion performance.

Description

technical field [0001] The invention relates to a video coding technology, in particular to a complexity control method for high-efficiency video coding. Background technique [0002] With the rapid development of network technology and streaming media technology, especially the rise of high-definition (HD), ultra-high-definition (UHD), three-dimensional (3D), multi-view (multi-view) and free viewpoint (Free viewpoint) video technologies, video Information is increasingly available. In recent years, due to the increasing number of mobile terminals and video surveillance, high-definition and ultra-high-definition videos have increased greatly, and the existing video coding standards such as MPEG-2, MPEG-4 and H.264 / AVC (Advanced Video Coding) have been difficult to meet people's needs. Requirements for high-definition video compression. In order to solve this problem, the High Efficiency Video Coding (HEVC) standard came into being. It is a new generation of video coding st...

AI Technical Summary

Problems solved by technology

The existing three types of coding complexity control algorithms are mainly carried out at the coding tree unit level. Since the coding complexity control on the group of picture layer and the frame layer is not considered, it is impossible to accurately control and classify the coding complexity , such as the first type of coding complexity control algorithm, the HEVC coding tree depth estimation method proposed by Correa et al., this method makes full use of the temporal and spatial domain correlation of the coding tree unit to adjust the maximum segmentation depth of the coding tree unit, to a certain extent The control of coding complexity is realized above, but this method does not consider the coding complexity control on the picture group layer and the frame layer, the coding complexity control accuracy is not high, and the method relies heavily on the time-space domain information of the coding tree unit , which is not conducive to the parallel encoding and decoding of HEVC

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