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.
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Pattanasri, N., Chatvichienchai, S., Tanaka, K. (2005). Towards a Unified Framework for Context-Preserving Video Retrieval and Summarization. In: Fox, E.A., Neuhold, E.J., Premsmit, P., Wuwongse, V. (eds) Digital Libraries: Implementing Strategies and Sharing Experiences. ICADL 2005. Lecture Notes in Computer Science, vol 3815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599517_14
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DOI: https://doi.org/10.1007/11599517_14
Publisher Name: Springer, Berlin, Heidelberg
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