Abstract
We present our efficient implementation of interactive video search tool for Known Item Search(KIS) using the combination of Semantic Indexing(SIN) and Instance Search(INS). The interaction way allows users to index a video clip via their knowledge of visual content. Our system offers users a set of concepts and SIN module returns candidate keyframes based on userss selection of concepts. Users choose keyframes which contains the interest items, and the INS module recommends frames with similar content to the target clip. Finally, the precise time stamps of the clip are given by the Temporal Refinement(TR). © Springer-Verlag 2013.
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CITATION STYLE
Bai, H., Wang, L., Dong, Y., & Tao, K. (2013). Interactive video retrieval using combination of semantic index and instance search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7733 LNCS, pp. 554–556). https://doi.org/10.1007/978-3-642-35728-2_67
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