Multi-view video-oriented fast coding method

Abstract

The invention discloses a multi-view video-oriented fast coding method and belongs to the technical field of H.264 / AVC (advanced video coding). The method is characterized by the following steps that: a left view and a right view are coded by a global search method to extract coding information at first; then the feature vector of a two-layer support vector machine (SVM) classifier is constructedfor frames in the right view except an anchor frame by using the two-layer SVM classifier according to the sum of squared difference (SSD) of the error amount predicted by a macroblock during coding,a coding residual state coded block pattern (CBP) and the utilization rate of the macroblock coding mode; the classifier performs corresponding coding according to a coding mode used for identifying the macroblock in a homogeneity and a flat area and the coding mode of the macroblock of a larger block coding mode; and the macroblock coding mode with a minimum rate-distortion cost is selected as an optimal macroblock coding mode. When the method is used, a rate-distortion optimization method adopted by an initial full mode search method is terminated in advance, by the optimized macroblock coding mode, the coding complexity is reduced and at least seventy percent of coding time is saved.

Description

technical field [0001] The invention relates to a video coding technology based on H.264 / AVC, in particular to a fast macroblock mode selection coding method based on a support vector machine in multi-viewpoint video coding. Background technique [0002] In recent years, with the continuous development of multimedia technology, people are no longer satisfied with the visual experience brought by traditional flat video, so a 3D (three dimensional) visual Multi-view video of functions and interactive manipulation functions. Multi-view video (multi-view video) is a video signal of multi-angle video content obtained by shooting the same scene from different angles by a group of parallel or converging cameras. It transmits the information of multiple viewpoints to the decoder at the same time, so that Users can choose to watch 3D video programs from any angle, which has a strong sense of presence. Therefore, it has broad application prospects in various fields such as digital en...

AI Technical Summary

Problems solved by technology

Although better coding effect can be obtained, the calculation amount is huge and the complexity is extremely high, which affects the real-time application of multi-view video

At present, some scholars have proposed a fast macroblock mode selection algorithm based on H.264 / AVC (see the paper "Block-Mode Classification Using SVMs for Early Termination of Block Mode Decision in H.264MPEG-4Part 10AVC"), but specifically for multi-view video Coded fast mode selection algorithms are less

The paper "Fast Macroblock Mode Selection Algorithm for Multiview Video Coding" determines the macroblock mode in advance by designing the threshold, but the coefficients in the calculation formula for determining the threshold use empirical values, which are not universal; the paper "A Hierarchical Two-Stage Neural- Classifier for Mode Decision of H.264 / AVC Stereo Video Encoding" uses a hierarchical neural network classifier for macroblock mode selection. Although it can obtain good coding efficiency, it relatively increases the number of bits

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