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Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval

Sorwar, Golam; Murshed, Manzur and Dooley, Laurence S. (2005). Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E88-A(10 Special) pp. 2593–2599.

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Though block-based motion estimation techniques are primarily designed for video coding applications, they are increasingly being used in other video analysis applications due to their simplicity and ease of implementation. The major drawback associated with these techniques is that noises, in the form of false motion vectors, cannot be avoided while capturing block motion vectors. Similar noises may further be introduced when the technique of global motion compensation is applied to obtain true object motion from video sequences where both the camera and object motions are present. This paper presents a new technique for capturing large number of true object motion vectors by eliminating the false motion vector fields, for use in the application of object motion based video indexing and retrieval applications. Experimental results prove that our proposed technique significantly increases the percentage of retained true object motion vectors while eliminating all false motion vectors for variety of standard and non-standard video sequences.

Item Type: Journal Item
ISSN: 0916-8508
Keywords: true object motion estimation; block-matching algorithm; false motion filtering; video indexing;
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 10557
Depositing User: Laurence Dooley
Date Deposited: 10 Apr 2008
Last Modified: 07 Dec 2018 09:09
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