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22 March 1996 Entropy measures for controlled coding
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Proceedings Volume 2668, Digital Video Compression: Algorithms and Technologies 1996; (1996)
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
In this paper, we present an approach to characterize video sequences using information theoretic measures. This characterization is then used to efficiently represent a volume of video. In a typical video sequence, sometimes texture reveals structure, in other cases motion does it. In addition, the temporal and spatial extents are variables. The attempt of this work is to build this structure by looking at a given region over a multiplicity of frames and scales using entropy measures. We then present a hierarchically structured class of coders that efficiently represent this volume of video. The structure built in the analysis stage is used to control and select amongst this class of coders.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giridharan Iyengar and Andrew B. Lippman "Entropy measures for controlled coding", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996);


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