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Proceedings Paper

Key frames extraction in athletic video
Author(s): Giuseppe Caccia; Rosa Lancini; Stefano Russo
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Paper Abstract

In this paper, we present an effective framework for features extraction from an athletic sport sequence. We analyze both forward and backward motion vectors from MPEG 2 video sequences for camera movements detection. Features like the beginning and the end of the race and the type of competition are strictly connected to the camera motion. Our algorithm is able to extract the frame number of the investigated feature with very high accuracy.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503095
Show Author Affiliations
Giuseppe Caccia, Politecnico di Milano (Italy)
Rosa Lancini, Politecnico di Milano (Italy)
Stefano Russo, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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