Depth-based inter-view prediction of motion vectors for improved multiview video coding

The paper deals with efficient exploitation of mutual correlation that exists in motion fields of individual views in multiview video. The paper describes a new technique for efficient representation of motion data in multiview video bitstreams that carry also depth maps. These depth maps may be used in order to derive motion information from neighboring views. Such inter-view prediction of motion vectors is the core idea of Inter-View Direct compression mode that is proposed in this paper. Application of the new mode yields bitrate reductions between 2% and 13% depending on an individual test sequence, compression scenario and variant of the state-of-the-art multiview compression reference technique. This improvement has been demonstrated by extensive experimental tests that used standard multiview test video sequences.