Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features
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 m...
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| Format: | Article |
| Language: | English |
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Atlantis Press
2009-03-01
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| Series: | International Journal of Computational Intelligence Systems |
| Online Access: | https://www.atlantis-press.com/article/1816.pdf |
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doaj-f0b7d323edd6487181277cc08250d8ed2020-11-25T02:01:33ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832009-03-012110.2991/jnmp.2009.2.1.4Feature Weighting and Retrieval Methods for Dynamic Texture Motion FeaturesAshfaqur RahmanManzur MurshedFeature 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.https://www.atlantis-press.com/article/1816.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ashfaqur Rahman Manzur Murshed |
| spellingShingle |
Ashfaqur Rahman Manzur Murshed Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features International Journal of Computational Intelligence Systems |
| author_facet |
Ashfaqur Rahman Manzur Murshed |
| author_sort |
Ashfaqur Rahman |
| title |
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features |
| title_short |
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features |
| title_full |
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features |
| title_fullStr |
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features |
| title_full_unstemmed |
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features |
| title_sort |
feature weighting and retrieval methods for dynamic texture motion features |
| publisher |
Atlantis Press |
| series |
International Journal of Computational Intelligence Systems |
| issn |
1875-6883 |
| publishDate |
2009-03-01 |
| description |
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. |
| url |
https://www.atlantis-press.com/article/1816.pdf |
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AT ashfaqurrahman featureweightingandretrievalmethodsfordynamictexturemotionfeatures AT manzurmurshed featureweightingandretrievalmethodsfordynamictexturemotionfeatures |
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