Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.10 pp.2593-2599
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.10.2593
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
Authors
Keyword
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Golam SORWAR, Manzur MURSHED, Laurence DOOLEY, "Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 10, pp. 2593-2599, October 2005, doi: 10.1093/ietfec/e88-a.10.2593.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.10.2593/_p
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@ARTICLE{e88-a_10_2593,
author={Golam SORWAR, Manzur MURSHED, Laurence DOOLEY, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval},
year={2005},
volume={E88-A},
number={10},
pages={2593-2599},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e88-a.10.2593},
ISSN={},
month={October},}
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TY - JOUR
TI - Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2593
EP - 2599
AU - Golam SORWAR
AU - Manzur MURSHED
AU - Laurence DOOLEY
PY - 2005
DO - 10.1093/ietfec/e88-a.10.2593
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2005
AB - 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.
ER -
English
