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Erschienen in:
2014 | OriginalPaper | Buchkapitel
NII-UIT: A Tool for Known Item Search by Sequential Pattern Filtering
verfasst von : Thanh Duc Ngo, Vu Hoang Nguyen, Vu Lam, Sang Phan, Duy-Dinh Le, Duc Anh Duong, Shin’ichi Satoh
Erschienen in: MultiMedia Modeling
Verlag: Springer International Publishing
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This paper presents an interactive tool for searching a known item in a video or a video archive. To rapidly select the relevant segment, we use query patterns formulated by users for filtering. The patterns can be formulated by drawing color sketches or selecting predefined concepts. Especially, our tool support users to define patterns for sequences of consecutive segments, for instance, sequences of occurrences of concepts. Such patterns are called sequential patterns, which are more powerful to describe users’ search intention. Besides that, the user interface is organized following a coarse-to-fine manner, so that users can quickly scan the set of candidate segments. By using color-based and concept-based filters, our tool can deal with both visual and descriptive known item search.