A stochastic model for video and its information rates

Arthur L. Da Cunha, Minh Do, Martin Vetterli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (i.e. "realities"). The sources of information are combined generating a vector process that we study in detail. Both lossless and lossy information rates are derived. The model is further extended to account for realities that change over time. We derive bounds on the lossless and lossy information rates for this dynamic reality model, stating conditions under which the bounds are tight. Experiments with synthetic sources suggest that in the presence of scene motion, simple hybrid coding using motion estimation with DPCM can be suboptimal relative to the true rate-distortion bound.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2007
Subtitle of host publication2007 Data Compression Conference
Pages3-13
Number of pages11
DOIs
StatePublished - 2007
EventDCC 2007: 2007 Data Compression Conference - Snowbird, UT, United States
Duration: Mar 27 2007Mar 29 2007

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Other

OtherDCC 2007: 2007 Data Compression Conference
CountryUnited States
CitySnowbird, UT
Period3/27/073/29/07

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Da Cunha, A. L., Do, M., & Vetterli, M. (2007). A stochastic model for video and its information rates. In Proceedings - DCC 2007: 2007 Data Compression Conference (pp. 3-13). [4148739] (Data Compression Conference Proceedings). https://doi.org/10.1109/DCC.2007.8