DocumentCode
3490256
Title
Pricing-based decentralized rate allocation for multiple video streams
Author
Tiwari, Mayank ; Groves, Theodore ; Cosman, Pamela
Author_Institution
Dept. of ECE, Univ. of California San Diego, La Jolla, CA, USA
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3065
Lastpage
3068
Abstract
We consider rate allocation for multiple video users sharing a constant bitrate channel. Previously, overall quality of multiple users was improved by exploiting relative complexity. Users with high complexity video benefit at the expense of video quality reduction for other users with simpler videos. The quality of all users can be improved by collectively allocating the bitrate which requires sharing video information with a central controller. In this paper, we present an informationally decentralized rate allocation for multiple users where a user only needs to inform its demand to an allocator based on its video complexity and bitrate price. Simulation results show that all users improve their quality by our pricing-based decentralized rate allocation method compared to their allocation when acting individually and the results are comparable to the centralized rate allocation.
Keywords
computational complexity; pricing; video signal processing; video streaming; bitrate price; constant bitrate channel; high complexity video; multiple video streams; multiple video users; pricing based decentralized rate allocation; relative complexity; video complexity; video quality reduction; Aggregates; Bit rate; Centralized control; Costs; Fluctuations; Rate-distortion; Streaming media; Transmitters; Video compression; Video sharing; H.264/AVC; Rate allocation; decentralized allocation; rate-distortion optimization; video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414202
Filename
5414202
Link To Document