Abstract
In this paper, we propose two approaches to deal with the problems of video searching: ad-hoc video search and known item search. First, we propose to combine multiple semantic concepts extracted from multiple networks trained on many data domains. Second, to help user find exactly video shot that has been shown before, we propose a sketch based search system which detects and indexes many objects proposed by an object proposal algorithm. By this way, we not only leverage the concepts but also the spatial relations between them.
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Acknowledgement
This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number B2013-26-01. We are thankful to our colleagues Sang Phan, Yusuke Matsui, Benjamin Renoust who provided their source code to make our system more efficient.
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Nguyen, VT., Ngo, T.D., Le, DD., Tran, MT., Duong, D.A., Satoh, S. (2017). Semantic Extraction and Object Proposal for Video Search. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10133. Springer, Cham. https://doi.org/10.1007/978-3-319-51814-5_44
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DOI: https://doi.org/10.1007/978-3-319-51814-5_44
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