Abstract
Multi-view video (MVV) and multi-view plus depth video became typical formats for 3D video systems which offer more realistic visual effects for consumers. The standard for encoding of MVV, known as multi-view video coding (MVC), was produced by ISO/IEC and ITU-T and has exhibited significant compression efficiency for MVV signals. However, the high computational complexity of MVC leads to excessive power consumption and limits its applications. In this study, new fast algorithms for MVC are proposed by skipping disparity estimation prediction. According to the characteristics of the motion and disparity vectors, unnecessary disparity estimation is skipped based on the amount of motion that can be measured through the use of motion activity and SKIP mode on the temporal axis. Experimental results showed that by skipping the disparity estimation, the proposed method reduced the encoding computational complexity by nearly 73% for inter-view prediction and 38% in the overall encoding process of B-views. In addition, no noticeable visual quality degradation was observed.
Highlights
3D video has received increased attention because of the great success of 3D movies
In case of SKIP mode, the motion activity values are smaller than the values of blocks encoded as non-SKIP modes
Three metrics were defined for evaluating the performance of the proposed algorithm: ΔBDPSNR, ΔBDBR, and ΔT
Summary
3D video has received increased attention because of the great success of 3D movies. Other mediums such as three-dimensional TV (3DTV) and 3D digital multimedia broadcasting (3D DMB) are representative applications of 3D video [1]. When left and right views of stereoscopic video are shown in a user’s left and right eyes, respectively, users can perceive a feeling of depth due to binocular parallax. A 3DTV system contains stereoscopic video, and a multi-directional 3D scene by multi-view. 3D DMB is a broadcasting system which offers 3D video to users in mobile circumstances [4]. Because the system can present more realistic video and information than conventional DMB, it is expected to be widely used in e-commerce and news media
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