Rendering-Oriented Decoding for Distributed Multi-View Coding System

This paper discusses a system in which multi-view images are captured and encoded in a distributed fashion and a viewer synthesizes a novel view from this data. We developed an efficient method for such system that combines decoding and rendering process to directly synthesize the novel image without reconstructing all the input images. Our method jointly performs disparity compensation in decoding process and geometry estimation in rendering process, because they are essentially equivalent if the camera parameters for the input images are known. It achieves low-complexity for both encoder and decoder in distributed multi-view coding system. Experimental results show superior coding performance of our method compared to a conventional intra-coding method especially at low bit rate.

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Yuichi Taguchi, Takeshi Naemura
• Keywords: ICIP 2007, Image Processing, Input Images, Multi-view Coding System, Multi-view Images