Data di Pubblicazione:
2006
Abstract:
In the context of analysis of video documents, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introduces a cluster analysis on video shots which employs dendrogram representation to produce hierarchical summaries of the video document. Vector quantization codebooks are used to represent the visual content and to group the shots with similar chromatic consistency. The evaluation of the cluster codebook distortions, and the exploitation of the dependency relationships on the dendrogram, allow to obtain only a few significant summaries of the whole video. Finally the user can navigate through summaries and decide which one best suites his/her needs for eventual post processing. The effectiveness of the proposed method
is demonstrated, on a collection of different video programmes, in term of metrics that measure the content representational value of the summarization technique.
is demonstrated, on a collection of different video programmes, in term of metrics that measure the content representational value of the summarization technique.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Video shot clustering; Video indexing
Elenco autori:
Benini, Sergio; Bianchetti, A; Leonardi, Riccardo; Migliorati, Pierangelo
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Proceedings of the 2006 Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2006)
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