ICIP 2006, Atlanta, GA
 

Slide Show

Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:MP-P8.10
Session:Motion Detection and Estimation
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Title: AN EFFECTIVE EPIPOLAR GEOMETRY ASSISTED MOTION ESTIMATION TECHNIQUE FOR MULTI-VIEW IMAGE AND VIDEO CODING
Authors: Jiangbo Lu; University of Leuven and Multimedia Group 
 Hua Cai; Microsoft Research Asia 
 Jian-Guang Lou; Microsoft Research Asia 
 Jiang Li; Microsoft Research Asia 
Abstract: To efficiently encode data-intensive multi-view imaging content, conventional hybrid predictive coding methodologies choose to address the compression by exploiting temporal and inter-viewpoint redundancy. However, their key yet time-consuming component, motion estimation (ME), is usually not efficient in inter-viewpoint prediction because inter-viewpoint motion is quite different from temporal motion. In essence, inter-viewpoint correlation is subject to epipolar geometry, which provides constraints for multi-view image sequences. A fast inter-viewpoint ME technique is hence proposed in this paper to accelerate the encoding by employing epipolar geometry. Theoretical analysis and experimental results prove that the proposed ME algorithm can greatly reduce search region and effectively track large and irregular motion that is typical for convergent multi-view camera setups. As a result, compared with fast full search at large search size adopted in H.264, our proposed ME algorithm can obtain a similar coding efficiency while achieving a speedup ratio of 2.9.