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Temporal segmentation of video objects for hierarchical object-based motion description

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4 Author(s)
Fu, Y. ; Dept. of Electr. & Comput. Eng., Rochester Univ., NY, USA ; Ekin, A. ; Tekalp, A.M. ; Mehrotra, R.

This paper describes a hierarchical approach for object-based motion description of video in terms of object motions and object-to-object interactions. We present a temporal hierarchy for object motion description, which consists of low-level elementary motion units (EMU) and high-level action units (AU). Likewise, object-to-object interactions are decomposed into a hierarchy of low-level elementary reaction units (ERU) and high-level interaction units (IU). We then propose an algorithm for temporal segmentation of video objects into EMUs, whose dominant motion can be described by a single representative parametric model. The algorithm also computes a representative (dominant) affine model for each EMU. We also provide algorithms for identification of ERUs and for classification of the type of ERUs. Experimental results demonstrate that segmenting the life-span of video objects into EMUS and ERUs facilitates the generation of high-level visual summaries for fast browsing and navigation. At present, the formation of high-level action and interaction units is done interactively. We also provide a set of query-by-example results for low-level EMU retrieval from a database based on similarity of the representative dominant affine models

Published in:

Image Processing, IEEE Transactions on  (Volume:11 ,  Issue: 2 )

Date of Publication:

Feb 2002

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