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Proceedings Paper

Dynamic throughput estimation for wireless video communications
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Paper Abstract

Dynamic throughput estimation for wireless multimedia transmission is examined in this research. A novel dynamic mapping scheme from measurements of a real-world wireless environment to a discrete Markov model is first proposed to simulate wireless video packet-based transmission. Then, the available throughput is estimated by using the derived discrete Markov model together with the number of negative acknowledgments (NACK) that are fed back from the receiver to the transmitter. The estimated throughput is used to perform the adaptive region-of-interest (ROI) rate control based on the multiple constraint optimization. The performance of the channel mapping scheme, the throughput estimation, and the region-of-interest rate control is demonstrated by simulating a micro-cell environment and ITU-T H.263+ video standard. Performance variation due to different estimation of throughput is compared and the performance improvement due to the multiple constraint optimization is demonstrated both in objective and subjective quality.

Paper Details

Date Published: 4 January 2002
PDF: 11 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453071
Show Author Affiliations
Wuttipong Kumwilaisak, Univ. of Southern California (United States)
JongWon Kim, Kwangju Institute of Science and Technology (South Korea)
Robert Ku, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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