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 Jul 2011, Beijing, China.

DOI: https://doi.org/10.1145/2009916.2010117

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.

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About

• Item ORO ID
• 33903
• Item Type
• Conference or Workshop Item
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2011 The Authors
• Depositing User
• Dawei Song