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In this paper, we propose a semantic indexing algorithm based on the controlled Markov chain modelling framework

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Academic year: 2021

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The problem of semantic indexing of audio-visual docu- ments 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 de- scriptors extracted from the MPEG compressed bit- stream. The proposed algorithm has been conceived for soccer game video

sequences, and seems promising based on the simu- lation results obtained in this preliminary study.

 

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