@inproceedings{16de331a21df4767965c5f2cc1a495a8,
title = "Quad-tree based inter-view motion prediction",
abstract = "As a 3D video extension of Audio Video Coding Standard (AVS), 3D-AVS is being developed to improve the coding efficiency of multi-view video. Since multi-view video is composed of projections of the same scenery from different viewpoints at the same time instant, it contains a large amount of inter-view redundancies. To exploit the inter-view correlation, this paper presents a method to derive the motion parameters for a coding unit (CU) in the dependent view from the already coded inter-view picture. The algorithm is based on quad-tree partitioning, each CU could be recursively split into four sub-CUs of the same size and whether each sub-CU is further split is determined by comparing the derived motion parameters. Experimental results show that the proposed method provides 8.7\% BD-rate saving for both video 1 and video 2 in low delay configuration and the BD-rate saving is up to 14.5\% and 13.7\% on video 1 and video 2 for Balloons. This method has been proposed and adopted into the 3D-AVS standard.",
keywords = "3D video coding, 3D-AVS, disparity vector, inter-view motion prediction, quad-tree",
author = "Ji Ma and Na Zhang and Xiaopeng Fan and Ruiqin Xiong and Debin Zhao",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Visual Communications and Image Processing, VCIP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",
year = "2015",
doi = "10.1109/VCIP.2015.7457861",
language = "英语",
series = "2015 Visual Communications and Image Processing, VCIP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 Visual Communications and Image Processing, VCIP 2015",
address = "美国",
}