Temporal video segmentation on H.264/AVC compressed bitstreams

Authors:
Sarah De Bruyne;Wesley De Neve;Koen De Wolf;Davy De Schrijver;Piet Verhoeve;Rik Van de Walle
Affiliations:
Department of Electronics and Information Systems – Multimedia Lab, Ghent University – IBBT, Ledeberg-Ghent, Belgium;Department of Electronics and Information Systems – Multimedia Lab, Ghent University – IBBT, Ledeberg-Ghent, Belgium;Department of Electronics and Information Systems – Multimedia Lab, Ghent University – IBBT, Ledeberg-Ghent, Belgium;Department of Electronics and Information Systems – Multimedia Lab, Ghent University – IBBT, Ledeberg-Ghent, Belgium;Televic, Belgium;Department of Electronics and Information Systems – Multimedia Lab, Ghent University – IBBT, Ledeberg-Ghent, Belgium
Venue:
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Year:
2007

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Abstract

In this paper, a novel method for temporal video segmentation on H.264/AVC-compliant video bitstreams is presented. As the H.264/AVC standard contains several new and extended features, the characteristics of the coded frames are different from former video specifications. Therefore, previous shot detection algorithms are not directly applicable to H.264/AVC compressed video bitstreams. We present a new concept, in particular, ‘Temporal Prediction Types', by combining two features: the different macroblock types and the corresponding display numbers of the reference frames. Based on this concept and the amount of intra-coded macroblocks, our novel shot boundary detection algorithm is proposed. Experimental results show that this method achieves high performance for cuts as well as for gradual changes.