Wang, Lei; Song, Dawei and Elyan, Eyad
(2011).
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (434Kb) |
| DOI (Digital Object Identifier) Link: | http://doi.org/10.1145/2009916.2010117 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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 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/Department: | 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: | 02 Aug 2016 16:50 |
| URI: | http://oro.open.ac.uk/id/eprint/33903 |
| Share this page: |     |
Altmetrics | Scopus Citations |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.