Loading [MathJax]/extensions/MathZoom.js
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:

Citations are not available for this document.

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.

Cites in Papers - |

Cites in Papers - IEEE (9)

Select All
1.
Jing Xiao, Ruimin Hu, Liang Liao, Yu Chen, Zhongyuan Wang, Zixiang Xiong, "Knowledge-Based Coding of Objects for Multisource Surveillance Video Data", IEEE Transactions on Multimedia, vol.18, no.9, pp.1691-1706, 2016.
2.
Ying Chen, Xin Zhao, Li Zhang, Je-Won Kang, "Multiview and 3D Video Compression Using Neighboring Block Based Disparity Vectors", IEEE Transactions on Multimedia, vol.18, no.4, pp.576-589, 2016.
3.
Li Zhang, Ying Chen, Vijayaraghavan Thirumalai, Jian-Liang Lin, Yi-Wen Chen, Jicheng An, Shawmin Lei, Laurent Guillo, Thomas Guionnet, Christine Guillemot, "Inter-view motion prediction in 3D-HEVC", 2014 IEEE International Symposium on Circuits and Systems (ISCAS), pp.17-20, 2014.
4.
Pan Gao, Qiang Peng, Qionghua Wang, Xiangkai Liu, Chengde Zhang, "Adaptive disparity and motion estimation for Multiview Video Coding", 2011 4th International Congress on Image and Signal Processing, vol.1, pp.66-71, 2011.
5.
Jacek Konieczny, Marek Domański, "Extended Inter-View Direct mode for Multiview Video Coding", 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.845-848, 2011.
6.
Jin Young Lee, Hochen Wey, Du-Sik Park, Chang-Yeong Kim, "Temporal and inter-view skip modes for multi-view video coding", 2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), pp.1-4, 2011.
7.
Jacek Konieczny, Marek Domański, "Depth-based inter-view prediction of motion vectors for improved multiview video coding", 2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, pp.1-4, 2010.
8.
Tien-Ying Kuo, Chin-Kun Yeh, Hung-Yang Tsai, "A novel method for global disparity vector estimation in multiview video coding", 2009 IEEE International Symposium on Circuits and Systems (ISCAS), pp.864-867, 2009.
9.
Ying Chen, Miska M. Hannuksela, Ling Zhu, Antti Hallapuro, Moncef Gabbouj, Houqiang Li, "Coding techniques in Multiview Video Coding and Joint Multiview Video Model", 2009 Picture Coding Symposium, pp.1-4, 2009.

Cites in Papers - Other Publishers (4)

1.
Seungchul Ryu, Jungdong Seo, Jin Young Lee, Kwanghoon Sohn, "Advanced motion vector coding framework for multiview video sequences", Multimedia Tools and Applications, vol.67, no.1, pp.49, 2013.
2.
Lianlian Jiang, Yue Wang, Li Zhang, Siwei Ma, The Era of Interactive Media, pp.123, 2013.
3.
Seungchul Ryu, Kwanghoon Sohn, "Depth-based direct mode for multiview video coding", Signal Processing: Image Communication, vol.27, no.6, pp.571, 2012.
4.
Lianlian Jiang, Jiangqian He, Nan Zhang, Tiejun Huang, "An overview of 3D video representation and coding", 3D Research, vol.1, no.1, pp.43, 2010.
Contact IEEE to Subscribe

References

References is not available for this document.