Words-of-interest selection based on temporal motion coherence for video retrieval

Wang, Lei; Song, Dawei and Elyan, Eyad (2011). 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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DOI (Digital Object Identifier) Link:	https://doi.org/10.1145/2009916.2010117
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Abstract

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 or Workshop Item
Copyright Holders:	2011 The Authors
Extra Information:	SIGIR’11, July 24–28, 2011, Beijing, China. ACM 978-1-4503-0757-4/11/07 pp.1197-1198
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)
Item ID:	33903
Depositing User:	Dawei Song
Date Deposited:	21 Jun 2012 08:54
Last Modified:	22 Sep 2017 16:36
URI:	http://oro.open.ac.uk/id/eprint/33903
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