Wang, Lei; Song, Dawei and Elyan, Eyad
Words-of-interest selection based on temporal motion coherence for video retrieval.
In: 34th Annual ACM SIGIR Conference (SIGIR'2011) , 24-28 July 2011, Beijing, China.
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The "Bag of Visual Words" (BoW) framework has been widely used in query-by-example video retrieval to model the visual content by a set of quantized local feature descriptors. In this paper, we propose a novel technique to enhance BoW by the selection of Word-of-Interest (WoI) that utilizes the quantified temporal motion coherence of the visual words between the adjacent frames in the query example. Experiments carried out using TRECVID datasets show that our technique improves the retrieval performance of the classical BoW-based approach.
||2011 The Authors
||SIGIR’11, July 24–28, 2011, Beijing, China.
||Bag of Visual Words; words-of-interest; video retrieval;
temporal motion coherence
||Mathematics, Computing and Technology > Computing & Communications
||21 Jun 2012 08:54
||25 Oct 2012 16:00
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