Towards a unified framework for context-preserving video retrieval and summarization

Authors:
Nimit Pattanasri;Somchai Chatvichienchai;Katsumi Tanaka
Affiliations:
Department of Social Informatics, Kyoto University, Kyoto, Japan;Department of Info-Media, Siebold University of Nagasaki, Nagasaki, Japan;Department of Social Informatics, Kyoto University, Kyoto, Japan
Venue:
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Year:
2005

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Abstract

Entirely watching separate video segments of interest or their summary might not be smooth enough nor comprehensible for viewers since contextual information between those segments may be lost. A unified framework for context-preserving video retrieval and summarization is proposed in order to solve this problem. Given a video database and ontologies specifying relationships among concepts used in MPEG-7 annotations, the objective is to identify according to a user query relevant segments together with summaries of contextual segments. Two types of contextual segments are defined: intra-contextual segments intended to form semantically coherent segments, and inter-contextual segments intended to semantically link together two separate segments. Relationships among verbs [3] are exploited to identify contextual segments as the relationships can provide the knowledge about events, causes and effects of actions over time. A query model and context-preserving video summarization are also presented.