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Filtering of block motion vectors for use in motion-based video indexing and retrieval

conference contribution
posted on 2023-02-07, 23:31 authored by G Sorwar, Manzur MurshedManzur Murshed, L Dooley
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. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.

History

Volume

E88-A

Pagination

2593-2598

Location

JAPAN, Fukuoka

Start date

2004-11-29

End date

2004-12-03

ISSN

0916-8508

eISSN

1745-1337

Language

English

Title of proceedings

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Event

International Symposium on Nonlinear Theory and Its Applications

Issue

10

Publisher

IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG