Shot modeling and clustering in MPEG-compressed video

Jesus Bescos; Francisco Lopez

doi:10.1117/12.386568

30 May 2000 Shot modeling and clustering in MPEG-compressed video

Jesus Bescos, Francisco Lopez

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386568
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

Early algorithms detecting camera shot transitions were based on the calculation of the difference between a single parameter of two consecutive frames. For many applications, only MPEG video is available; and in this situation, performing previous decompression in order to apply pixel- based algorithms may not be strictly required to achieve reasonable results: an alternative to the pixel-based approaches is to work with frame differences directly extracted from the MPEG compressed sequence. This paper intends to prove that shot detection on this domain can be as precise as that on the uncompressed one. After a discussion on the parameters of the MPEG stream best adapted to calculate an inter-frame difference, we present a distance-independent cut detection method, based on cut modeling and clustering, which obtains results similar to those obtained in the uncompressed domain.

Citation Download Citation

Jesus Bescos and Francisco Lopez "Shot modeling and clustering in MPEG-compressed video", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386568

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