Motion-based video object indexing using multiresolution analysis

Jeho Nam; Ahmed H. Tewfik

doi:10.1117/12.298380

9 January 1998 Motion-based video object indexing using multiresolution analysis

Jeho Nam, Ahmed H. Tewfik

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298380
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

In this paper, we describe an efficient video indexing scheme based on motion behavior of video objects for fast content-based browsing and retrieval in a video database. The proposed novel method constructs a dictionary of prototype objects. The first step in our approach extracts moving objects by analyzing layered images constructed from the coarse data in a 3D wavelet decomposition of the video sequence. These images capture motion information only. Moving objects are modeled as collections of interconnected rigid polygonal shapes in the motion sequences that we derive from the wavelet representation. The motion signatures of the object are computed from the rotational and translational motions associated to the elemental polygons that form the objects. These signatures are finally stored as potential query terms.

Citation Download Citation

Jeho Nam and Ahmed H. Tewfik "Motion-based video object indexing using multiresolution analysis", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298380

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