Paper
10 January 1997 Segmentation-based coding for very low bit rates
Tom Wuyts, Luc Van Eycken
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263280
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
Object based coding is a new technique that is being investigated to achieve extremely high compression ratios for video sequences. The 'classical' approach to this is a 4 steps algorithm: segmentation, motion estimation and compensation, coding of the segmentation information and finally coding of the prediction errors. In this text we describe another approach where we try to combine these first three steps: try to do the motion estimation and segmentation together and meanwhile collecting important information for the coding the segmentation information. The segmentation is done by finding motion parameters that will yield the best segmentation and growing the segmentation from areas with a good prediction. Coding the segmentation will be done using cost-functions which are calculate in the segmentation step. The actual coding will be done by using simple geometric forms, in our case we used superquadrics, and combining them to arrive at an approximated shape.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tom Wuyts and Luc Van Eycken "Segmentation-based coding for very low bit rates", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263280
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KEYWORDS
Image segmentation

Motion estimation

Video coding

Image compression

Video

Head

Video compression

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