Feature weighting and retrieval methods for dynamic texture motion features
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2010
- Type: Text , Journal article
- Relation: International Journal of Computational Intelligence Systems Vol. 2, no. 1 (2010 2010), p. 27-38
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- 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.
A motion-based approach for segmenting dynamic textures
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2009
- Type: Text , Journal article
- Relation: International Journal of Signal and Imaging Systems Engineering Vol. 2, no. (2009), p. 88-96
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Detection of multiple dynamic textures using feature space mapping
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2009
- Type: Text , Journal article
- Relation: IEEE Transactions on Circuits and Systems for Video Technology Vol. 19, no. 5 (2009), p. 766-771
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- Description: Abstract— Image sequences of smoke, fire, etc. are known as dynamic textures. Research is mostly limited to characterization of single dynamic textures. In this paper we address the problem of detecting the presence of multiple dynamic textures in an image sequence by establishing a correspondence between the feature space of dynamic textures and that of their mixture in an image sequence. Accuracy of our proposed technique is both analytically and empirically established with detection experiments yielding 92.5% average accuracy on a diverse set of dynamic texture mixtures in synthetically generated as well as real-world image sequences.
Dynamic texture synthesis using motion distribution statistics
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Research and Practice in Information Technology Vol. 40, no. 2 (2008), p. 129-148
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- Description: n this paper we propose a motion based approach for synthesizing dynamic textures. Dynamic textures are natural phenomenon characterized by their distinctive motion patterns. Synthesis of these textures is thus considered as the regeneration of a motion pattern that has identical motion distribution of a source texture. In this paper we propose a synthesis technique where new textures are generated by computing their movement pattern from a known motion distribution followed by the generation of image frames. Experimental results demonstrate the ability of the proposed technique by producing visually promising dynamic textures.
Temporal texture characterization : A review
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2008
- Type: Text , Book chapter
- Relation: Computational Intelligence in Multimedia Processing: Recent Advances p. 291-316
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- Description: Summary. A large class of objects commonly experienced in a real world scenario exhibits characteristic motion with certain form of regularities. Contemporary literature coined the term “temporal texture”1 to identify image sequences of such motion patterns that exhibit spatiotemporal regularity. The study of temporal textures dates back to the early nineties. Many researchers in the computer vision community have formulated techniques to analyse temporal textures. This chapter aims to provide a comprehensive literature survey of the existing temporal texture characterization technique