Robust model generation technique for model-based coding

Manson Siu, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

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 publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages202-206
Number of pages5
Publication statusPublished - 1 Dec 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Japan
Duration: 24 Oct 199928 Oct 1999

Conference

ConferenceInternational Conference on Image Processing (ICIP'99)
Country/TerritoryJapan
CityKobe
Period24/10/9928/10/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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