| Paper: | TA-P5.3 |
| Session: | Video Coding II |
| Time: | Tuesday, September 18, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
AN ES BASED EFFECIENT MOTION ESTIMATION TECHNIQUE FOR 3D INTEGRAL VIDEO COMPRESSION |
| Authors: |
Steven Adedoyin; University of Surrey | | |
| | Anil Fernando; University of Surrey | | |
| | Amar Aggoun; Brunel University | | |
| | Rajitha Weerakkody; University of Surrey | | |
| Abstract: |
In this paper we propose a novel approach to use both motion and disparity information to compress 3D integral video sequences. The integral video sequence is decomposed into 8 viewpoint video sequences and a block search is performed to jointly exploit the motion and disparity redundancies to maximize the compression. An Evolutionary Strategy (ES) based search algorithm is used to reduce the complexity. Experimental results show that an ES based strategy can reduce the motion estimation by 95%. |
