An adaptive model generation technique for model-based video coding

M. Siu, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic research


In conventional model-based coding schemes, predefined static models are generally used. These models cannot adapt to new situations and hence they have to be very specific and cannot be generated from a single generic model even though they are very similar. In this paper, we present a model generation technique that can gradually build a model and dynamically modify it according to new video frames scanned. The proposed technique is robust to the object's orientation in the view and can be efficiently implemented with parallel processing technique. As a result, the proposed technique is more attractive to the practical use of model-based coding techniques in real applications.
Original languageEnglish
Title of host publication[Missing Source Name from PIRA]
ISBN (Print)0780356101
Publication statusPublished - 1999


  • Feature extraction
  • Video coding


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