Paper
19 April 2000 Video indexing using object motion map
So-Yeon Kim, Yong Man Ro
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
So-Yeon Kim and Yong Man Ro "Video indexing using object motion map", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382937
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KEYWORDS
Video

Multimedia

Databases

Feature extraction

Image segmentation

Computer simulations

Data storage

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