- Title
- Feature weighting and retrieval methods for dynamic texture motion features
- Creator
- Rahman, Ashfaqur; Murshed, Manzur
- Date
- 2010
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/33431
- Identifier
- vital:6293
- Identifier
-
https://doi.org/10.2991/jnmp.2009.2.1.4
- Identifier
- ISSN:1875-6891
- Abstract
- Feature weighing methods are commonly used to find the relative significance among a set of features that are effectively used by the retrieval methods to search image sequences efficiently from large databases. As evidenced in the current literature, dynamic textures (image sequences with regular motion patterns) can be effectively modelled by a set of spatial and temporal motion distribution features like motion co-occurrence matrix. The aim of this paper is to develop effective feature weighting and retrieval methods for a set of dynamic textures while characterized by motion co-occurrence matrices.
- Relation
- International Journal of Computational Intelligence Systems Vol. 2, no. 1 (2010 2010), p. 27-38
- Rights
- Copyright Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing
- Full Text
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