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|Title: ||An adaptive model generation technique for model-based video coding|
|Authors: ||Siu, Manson|
|Subjects: ||Feature extraction|
|Issue Date: ||1999 |
|Citation: ||1999 IEEE 3rd Workshop on Multimedia Signal Processing, September 13-15, 1999, Copenhagen, Denmark, p. 357-362.|
|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.|
|Rights: ||© 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Conference Paper|
|Appears in Collections:||EIE Conference Papers & Presentations|
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