Multi-View Video Coding Based on Video Correction

Article Preview

Abstract:

In order to enables the video to be displayed on a multitude of different terminals, Multi-view video coding (MVC) demands high compression rates as well as view scalability. A new the inter-view prediction structure with flexibility, MVC compatibility and view scalability is proposed. The proposed scheme first correct views. It then uses the position of the cameras and the relation of inter-views to divide all views into base view and enhancement views. Finally, the views quire by the viewers use scalable Multi-view Video Coding (SMVC). The main bitstream is the same as a H.264/AVC mono-sequence bitstream for H.264/AVC compatibility. The auxiliary bitstream come from enhancement views coding. We proposed SMVC scheme is tested with two Multi-view sequences to determine its flexibly view scalability, high coding efficiency and random access performance.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3714-3717

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Sullivan A, 2005, 3-Deep: new displays render images you can almost reach out and touch, Spectrum, IEEE Volume 42, Issue 4, April 2005 Page(s): 30-35.

DOI: 10.1109/mspec.2005.1413728

Google Scholar

[2] Akira Kubota, Aljoscha Smolic, Marcus Magnor, Masayuki Tanimoto and Tsuhan Chen, 2007, Multi-View Imaging and 3DTV, IEEE SIGNAL PROCESSING MAGAZINE: Special Issue on Multi-View Imaging and 3DTV, 2007, 11.

DOI: 10.1109/msp.2007.905873

Google Scholar

[3] JeongEun Lim, King N. Ngan, Wenxian Yang, Kwanghoon Sohn, A Multi-view sequence CODEC with view scalability , Signal Processing: Image Communication, vol. 19, no. 3, pp: 239-256, (2004).

DOI: 10.1016/j.image.2003.10.002

Google Scholar

[4] Samuel L. Hill, 2004, Scalable Multi-view Stereo Camera Array for Real-Time Image Capture and Three-Dimensional Displays, M.S. Optical Sciences, Massachusetts Institute of Technology, (2004).

Google Scholar

[5] Nukhet Ozbek, A. Murat Tekalp, and E. Turhan Tunali, A new scalable multi-view video coding configuration for robust selective streaming of free-viewpoint TV, IEEE, ICME, 1155-1158. (2007).

DOI: 10.1109/icme.2007.4284860

Google Scholar

[6] W. Yang, K. N. Ngan, J. Cai, An MPEG-4 compatible stereoscopic/Multi-view video coding scheme, , IEEE Trans. on Circuit and Systems for Video Technology, vol. 16, no. 2, pp.286-290, Feb. (2006).

DOI: 10.1109/tcsvt.2005.862496

Google Scholar

[7] W. Yang, F. Wu, Y. Lu, J. F. Cai, K. N. Ngan, and S. P. Li, Scalable Multi-view video coding using wavelet, IEEE International Symposium on Circuits and System, vol. 6, pp.6078-6081, May (2005).

DOI: 10.1109/iscas.2005.1466026

Google Scholar

[8] P. Merkle, A. Smolic, K. Muller, and T. Wiegand, Efficient prediction structures for multi-view video coding, IEEE Trans. on Circuits and Systems Video Technology, vol. 17, no. 11, pp.1461-1673, Nov. (2007).

DOI: 10.1109/tcsvt.2007.903665

Google Scholar

[9] F. Shao, G. Jiang, M. Yu, and X. Chen, A New Image Correction Method for Multi-view Video System, ICME, 2006, IEEE International Conference on Multimedia and Expo, Toronto, Ontario, Canada, July (2006).

DOI: 10.1109/icme.2006.262418

Google Scholar

[10] Ulrich Fecker, Marcus Barkowsky, Andr e Kaup. Luminance and chrominance compensation for multi-view sequences using histogram matching. MPEG2005/ M12487, 2005, Nice, France.

Google Scholar

[11] U. Fecker, M. Barkowsky, A. Kaup. Improving the prediction efficiency for multi-view video coding using histogram matching [ C ]. Picture Coding Symposium. Beijing, China.

Google Scholar

[12] J. Hur, S. Cho, Y. Lee, Adaptive Local Illumination Change Compensation Method for H. 264 AVC-Based Multi-view Video Coding, IEEE Trans. on Circuits and Systems Video Technology, vol. 17, no. 11, pp.1496-1505.

DOI: 10.1109/tcsvt.2007.903774

Google Scholar