Abstract
An efficient compression algorithm for multi-view video sequences, which are captured by two-dimensional (2D) camera arrays, is proposed in this work. First, we propose a novel prediction structure, called three-dimensional hierarchical B prediction (3DHBP), which can efficiently reduce horizontal inter-view redundancies, vertical inter-view redundancies, and temporal redundancies in multi-view videos. Second, we develop a view interpolation scheme based on the bilateral disparity estimation. The interpolation scheme yields high quality view frames by adapting disparity estimation and compensation procedures using the information in neighboring frames. Simulation results demonstrate that the proposed multi-view video coding algorithm provides significantly better rate-distortion (R-D) performance than the conventional algorithm, by employing the 3DHBP structure and using interpolated view frames as additional reference frames.
| Original language | English |
|---|---|
| Pages (from-to) | 474-486 |
| Number of pages | 13 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 21 |
| Issue number | 5-6 |
| DOIs | |
| Publication status | Published - 2010 Jul |
Bibliographical note
Funding Information:This research was supported partly by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2009-0083495 ), and partly by the Ministry of Knowledge Economy, Korea , under the ITRC support program supervised by the National IT Industry Promotion Agency ( NIPA-2009-C1090-0902-0017 ).
Keywords
- 2D camera array
- 3D-TV
- Bilateral criterion
- H.264/AVC
- Hierarchical B prediction
- Multi-view video coding
- View interpolation
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering