Wang, Lei; Song, Dawei and Elyan, Eyad
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1145/2009916.2010117|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Conference Item|
|Copyright Holders:||2011 The Authors|
|Extra Information:||SIGIR’11, July 24–28, 2011, Beijing, China.
|Keywords:||Bag of Visual Words; words-of-interest; video retrieval; temporal motion coherence|
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Dawei Song|
|Date Deposited:||21 Jun 2012 08:54|
|Last Modified:||01 Dec 2016 06:13|
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