Encoding method for multi-view video signals

Abstract

The invention discloses an encoding method for multi-view video signals. According to the encoding method for the multi-view video signals, the correlation among multi-view video viewpoints is used in a combined mode to set a best encoding mode through the utilization of style coefficient information obtained by a current macro block encoded in a direct mode and statistical distribution features of rate-distortion cost JDIRECT obtained by the current macro block encoded in the direct mode, or through the utilization of the rate-distortion cost JDIRECT of the current macro block encoded in the direct mode, and rate-distortion cost J16*16 of the current macro block encoded in a 16*16-block mode, and therefore early termination conditions and an early termination strategy of the direct mode can be built. Due to the facts that the direct mode has the minimum amount of computation, and the built early termination conditions of the direct mode is low in misjudgment rate and missing rate, the encoding method for the multi-view video signals can choose the best mode ahead of the earliest possible time and terminate an unnecessary complex mode selection process at the time of video encoding, the complexity of multi-view video encoding is effectively lowered, and the encoding speed is increased.

Description

【Technical field】 [0001] The invention relates to a video signal processing method, in particular to a multi-viewpoint video signal encoding method. 【Background technique】 [0002] The multi-view video system can provide real depth perception characteristics, interactivity and new visual enjoyment, and can be widely used in a variety of multimedia applications, such as three-dimensional TV (Three Dimensional TV, 3DTV), free viewpoint TV (Free viewpoint TV, FTV ), immersive video conferencing, and virtual reality. Because these multi-view videos are collected by multiple cameras at slightly different angles or positions, the video data has strong time, space and correlation between viewpoints, and needs to be effectively compressed for practical application and network transmission. To this end, the Joint Video Coding Group (Joint VideoTeam), composed of the Video Coding Experts Group and the Moving Pictures Experts Group, has developed a multiview video coding method (Multi...

AI Technical Summary

Problems solved by technology

The above methods are mainly aimed at the single-channel video coding standard H.264 / AVC or scalable coding. Due to different statistical characteristics and correlation characteristics, they cannot be directly applied to multi-view video coding standards using a hierarchical prediction structure.

In addition, the above method does not consider the correlation of each macroblock (Marco block) between different viewpoints

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