DocumentCode :
1501122
Title :
Bit-Rate Allocation for Multiple Video Streams Using a Pricing-Based Mechanism
Author :
Tiwari, Mayank ; Groves, Theodore ; Cosman, Pamela
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA
Volume :
20
Issue :
11
fYear :
2011
Firstpage :
3219
Lastpage :
3230
Abstract :
We consider the problem of bit-rate allocation for multiple video users sharing a common transmission channel. Previously, overall quality of multiple users was improved by exploiting relative video 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 bit rate in a centralized fashion which requires sharing video information with a central controller. In this paper, we present an informationally decentralized bit-rate allocation for multiple users where a user only needs to inform his demand to an allocator. Each user separately calculates his bit-rate demand based on his video complexity and bit-rate price, where the bit-rate price is announced by the allocator. The allocator adjusts the bit-rate price for the next period based on the bit rate demanded by the users and the total available bit-rate supply. Simulation results show that all users improve their quality by the pricing-based decentralized bit-rate allocation method compared with their allocation when acting individually. The results of our proposed method are comparable to the centralized bit-rate allocation.
Keywords :
data compression; pricing; rate distortion theory; video coding; video streaming; centralized bit-rate allocation; multiple video streams; pricing-based mechanism; relative video complexity; transmission channel; video information sharing; video quality reduction; Complexity theory; Delay; Optimization; Pricing; Resource management; Streaming media; Synchronization; Decentralized allocation; H.264/AVC; rate control; rate–distortion optimization; video compression;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2011.2146262
Filename :
5754585
Link To Document :
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