For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
A Low Memory Cost Fast Retrieval Method Based on Bucket Map Chain
p.969
Natural Gesture Recognition Based on Motion Detection and Skin Color
p.974
A Study of Vector-Valued Binary Scaling Functions and Parseval Frames with Integer Dilation Constant
p.980
Design Method for Dynamic Map Symbols Based on RIA Environment
p.984
High Efficient Depth Video Coding Based on Static Region Skipping
p.989
Research on Driver Design for CMOS Image Sensor Based on DM642
p.994
A Multi-Feature Fusion Method for Forward Vehicle Detection with Single Camera
p.998
Edge Classification Based DCT Coefficients Reorganization for Wyner-Ziv Distributed Video Coding
p.1005
A Semantic Classification Method of Digital Image Based on Cloud Model
p.1011

High Efficient Depth Video Coding Based on Static Region Skipping

Article Preview

Abstract:

Depth video has attracted great attention recently with the trend of MVD (Multiview plus depth) being the main 3D representation format. In order to improve depth video coding efficiency, we propose a novel depth video coding algorithm based on static region skipping. Firstly, based on the corresponding color video, depth video is segmented into two regions: motion regions and static regions. The blocks in static regions are skipped without encoding. The skipped blocks are predicted from the neighboring depth images. Experimental results show that the proposed algorithm not only saves the bitrate up to 56.83% but also improves virtual view quality and saves the encoding time.

You might also be interested in these eBooks
Mechatronics and Industrial Informatics View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

989-993

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.989

Citation:

Cite this paper

Online since:

June 2013

Authors:

Tao Tian, Zong Ju Peng, Gang Yi Jiang, Mei Yu, Fen Chen

Keywords:

Depth Video Coding, Motion Regions, MVD, Static Regions

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] A. Vetro, A. M. Tourapis, K. Muller and Tao Chen: IEEE Transactions on Broadcasting, Vol.57 (2011), p.384.

Google Scholar

[2] M. Tanimoto, M. P. Tehrani, T. Fujii and T. Yendo: Proceedings of the IEEE, Vol.100 (2012), p.905.

Google Scholar

[3] L. Do, G. Bravo, S. Zinger and P. H. N. de With: IEEE Transactions on Consumer Electronics, Vol.58 (2012), p.633.

Google Scholar

[4] Gang Song, Jinbao Xue and Hua Li: Communication Technology, 2011, p.1099.

Google Scholar

[5] Http://iphome.hhi.de/ng/tsuehriml/download/old_jm.

Google Scholar

[6] K. Oh, J. Lee and D. Park: Pic. Cod. Symposium, 2012, p.45.

Google Scholar

[7] J. Y. Lee, H. Wey and D. Park: Pic. Cod. Symposium, 2010, p.302.

Google Scholar

[8] H. Yuan, J. Liu, Z. Li and W. Liu: Electronics Letters, Vol.48 (2012), p.23.

Google Scholar

[9] W. Kim, S. K. Narang and A. Ortega: Acoustics, Speech and Signal Processing, 2012, p.813.

Google Scholar

[10] Z. Peng, M. Yu, G. Jiang, Y. Si and F. Chen: Industrial and Information Systems, 2010, p.204.

Google Scholar

[11] Y. Lin and J. Wu: IEEE Transactions on Broadcasting, Vol. 57 (2011), p.542.

Google Scholar

[12] M. Wang, X. Jin and S. Goto: Pic. Cod. Symposium, 2010, p.502.

Google Scholar

[13] G. Cernigliaro, M. Naccari, F. Jaureguizar, J. Cabrera, E. Pereira and N. Garcia: Image Processing, 2011, p.1013.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.