Key frames extraction in athletic video

Giuseppe Caccia; Rosa Lancini; Stefano Russo

doi:10.1117/12.503095

23 June 2003 Key frames extraction in athletic video

Giuseppe Caccia, Rosa Lancini, Stefano Russo

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503095
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Giuseppe Caccia, Rosa Lancini, and Stefano Russo "Key frames extraction in athletic video", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503095

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