Geometrically determining leaky bucket parameters for video streaming over constant bit-rate channels

Ping Li, W.S. Lin, Susanto Rahardja, X. Lin, X.K. Yang, Z.G. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

For streaming of pre-encoded bitstreams over constant bit-rate (CBR) channels, the channel bandwidth, the receiver buffer capacity as well as the latency requirement vary greatly from application to application. We propose an algorithm to determine the minimum buffer size and the minimum start-up delay required for streaming a pre-encoded bitstream over CBR channels at any specific bit rate. The proposed method employs geometric operations to derive the optimal determination for low or high bit rates and sub-optimal determination for medium bit rates. The results have been compared with the H.264/AVC hypothetical reference decoder. The proposed approach provides a theoretical insight and a simple but effective algorithm for determining the leaky bucket parameters for video streaming over CBR channels.
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages153-156
Number of pages4
ISBN (Print)0-7803-8484-9
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004) - Montreal, Canada
Duration: 17 May 200421 May 2004

Conference

Conference2004 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004)
Abbreviated titleICASSP 2004
CountryCanada
CityMontreal
Period17/05/0421/05/04
Other

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  • Cite this

    Li, P., Lin, W. S., Rahardja, S., Lin, X., Yang, X. K., & Li, Z. G. (2004). Geometrically determining leaky bucket parameters for video streaming over constant bit-rate channels. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004) (pp. 153-156). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2004.1326504