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Paper data
Modelling of visual features by Markov chains for sport content characterization

Leonardi Riccardo, DEA University of Brescia
Migliorati Pierangelo, DEA University of Brescia
Prandini Maria, DEA University of Brescia

Page numbers in the proceedings:
Volume III pp 349-352

Content based Audio and Video Indexing (1/2)

Paper abstract
The problem of semantic indexing of audio-visual documents is of great interest due to the wide diffusion of large audio-video databases. In this paper, we propose a semantic indexing algorithm based on the controlled Markov chain modelling framework. Controlled Markov chain models are used to describe the temporal evolution of low-level descriptors extracted from the MPEG compressed bit-stream. The proposed algorithm has been conceived for soccer game video sequences, and seems promising based on the simulation results obtained in this preliminary study.

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