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VSYNC: a novel video file synchronization protocol
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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents
Vancouver, British Columbia, Canada
SESSION: Systems track short papers table of contents
Pages 757-760  
Year of Publication: 2008
ISBN:978-1-60558-303-7
Authors
Hao Zhang  University of California, Berkeley, Berkeley, CA, USA
Chuohao Yeo  University of California, Berkeley, Berkeley, CA, USA
Kannan Ramchandran  University of California, Berkeley, Berkeley, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

VSYNC is a novel incremental video file synchronization system that efficiently synchronizes two video files at remote ends through a bi-directional communications link. Retransmission of a video file that has been modified only slightly, for the purpose of synchronization with a remote-end copy, is extremely expensive but avoidable. VSYNC is a bi-directional algorithm designed to automatically detect and transmit changes in the modified video file without the knowledge of what was changed. Another feature of VSYNC is that it allows synchronization to within some user defined distortion constraint. A hierarchical hashing scheme is designed to compare video chunks, converting the high-level content information to a low-level hash stream that is more amenable to the tools of coding theory. Our approach shows impressive gains in transmission rate-savings. In a typical example of two 12 sec video files with about 10% of the frames being edited, transmission savings of 44% to 87% can be obtained compared to directly sending the updated video files using H.264 and rsync [1].


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
A. Tridgell and P. Mackerras, "The rsync algorithm," http://rsync.samba.org/, Nov 1998.
 
2
 
3
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4
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5
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7
C. Yeo, P. Ahammad, and K. Ramchandran, "Rate-efficient Visual Correspondences using Random Projections," to appear in IEEE International Conference on Image Processing, 2008.
 
8
R. Puri, A. Majumdar, and K. Ramchandran, "PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder," IEEE Transactions on Image Processing, vol. 16, no. 10, pp. 2436--2448, 2007.
 
9
B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, "Distributed video coding," Proceedings of the IEEE, vol. 93, no. 1, pp. 71--83, 2005.

Collaborative Colleagues:
Hao Zhang: colleagues
Chuohao Yeo: colleagues
Kannan Ramchandran: colleagues