Intra prediction mode selection method for 3D video depth map based on Bayesian criterion

Abstract

The invention discloses a 3D video depth map intra-frame prediction mode selection method based on the Bayes criterion. The method comprises the following steps that firstly a training set is obtained from the intra-frame coding prediction mode data of previous multiple coded frames and used for training a Bayesian dichotomy model; then the RD-Cost value of the SDM mode of the given PU of frames to be coded acts as the input characteristic of a trained classifier, and the PU is divided into two classes including S0 and S1; as for the PU belonging to S0, the single depth mode is the final optimal intra-frame prediction mode and mode selection is terminated in advance; and as for the PU belonging to S1, the encoder performs conventional intra-frame mode selection. The depth map intra-frame prediction coding complexity can be effectively reduced so that coding time required for intra-frame prediction can be reduced; besides, the coding speed can be enhanced and the video quality of the final decoding end synthesis perspective can be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of video encoding and decoding, and in particular relates to a method for selecting an intra-frame prediction mode of a 3D video depth map based on a Bayesian criterion. Background technique [0002] The emerging video format of multi-view plus depth map is the most important format of the next generation 3D video system. It uses texture map information of a small number of viewpoints and additional depth map information of corresponding viewpoints to represent a 3D video scene, and more viewpoint information can be synthesized by 3D rendering technology based on depth images. Since the depth map plays a key role in providing disparity information and guiding the synthesis process in current 3D video systems, the encoding of the depth map should be extremely rigorous. Therefore, some new techniques such as Single Depth Mode (SDM), Depth Modeling Mode (DMM), Segmental DC Coding (SDC) and View Synthesis Optim...

AI Technical Summary

Problems solved by technology

However, the existing encoding technology does not take into account the high proportion and low time consumption of SDM in the depth map intra mode. In other words, the complexity of the existing depth map intra mode selection algorithm can still be further reduced.

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