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Fine-Granular Motion Matching for Inter-View Motion Skip Mode in Multiview Video Coding | IEEE Journals & Magazine | IEEE Xplore

Fine-Granular Motion Matching for Inter-View Motion Skip Mode in Multiview Video Coding


Abstract:

As motion of neighboring views is highly correlated in multiview video systems, the inter-view motion skip mode has been proposed to improve the efficiency of multiview v...Show More

Abstract:

As motion of neighboring views is highly correlated in multiview video systems, the inter-view motion skip mode has been proposed to improve the efficiency of multiview video coding (MVC) by reusing the motion information of neighboring views. To fully exploit the inter-view motion correlation, a fine-granular motion matching algorithm for the motion skip mode is presented in this paper. The proposed algorithm searches for the best matching motion information in neighboring views with fine granularity, and then uses the motion information for the motion-compensated coding in the motion skip mode. The rate-distortion optimization criterion is applied to find the best matching motion information. Experimental results show that the proposed algorithm can improve the performance of the motion skip mode, and further improve the efficiency of MVC.
Page(s): 887 - 892
Date of Publication: 16 March 2009

ISSN Information:


I. Introduction

Multiview video is a collection of multiple videos obtained by simultaneously capturing a scene with multiple cameras from different viewpoints. This new type of medium can provide users with vivid perception about the scene far beyond what is offered by traditional media. Target applications include free-viewpoint television (FTV), three-dimensional television (3-DTV), immersive teleconference and surveillance [1]–[3]. Due to the huge increase in data volume with the number of views, the technology of multiview video coding has recently become an active research area focusing on the compression for efficient storage and transmission of multiview video data. The joint video team (JVT) of ITU-T VCEG and ISO/IEC MPEG is currently working on the standardization of MVC as a new extension of the H.264/AVC standard. Various techniques in different aspects of MVC have been proposed [4]. For example, the spatial-temporal prediction structure of hierarchical B pictures is dedicated in exploiting both the temporal and inter-view correlation of multiview video data [5]. Furthermore, compression algorithms such as disparity vector prediction [6] and [7], illumination compensation [8], adaptive filtering [9], and view synthesis prediction [10] are put forward for both objective and subjective quality enhancement.

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References

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