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Proceedings Paper

Video indexing using object motion map
Author(s): So-Yeon Kim; Yong Man Ro
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Paper Abstract

We propose an object motion map for video indexing. An efficient object motion extraction and indexing is an important issue for the content-based indexing of video data. From shots in video data, object motion is clustered and extracted by removing background motion from global motion. To index the object motion, we divide motion in polar coordinate into i number of magnitude and j number of direction so that i X j regions are obtained to represent variable motion type. The object motion map is obtained based on the polar division. The proposed object motion map has global and local information of motion as well as small size of storage for indexing. To evaluate performance of proposed indexing technique, experiments are performed with video database consisting of MPEG-1 video sequences in MPEG-7 test set.

Paper Details

Date Published: 19 April 2000
PDF: 9 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382937
Show Author Affiliations
So-Yeon Kim, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)

Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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