Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29070
Title: Adaptive reference frame selection for near-duplicate video shot detection
Authors: Lu, S
Wang, Z
Wang, M
Ott, M
Feng, D
Keywords: keywords: {Near-duplicate shot detection
Pearson's correlation
Local interest point matching
Shot interest point
Issue Date: 2010
Publisher: IEEE
Source: 2010 17th IEEE International Conference on Image Processing (ICIP), 26-29 September 2010, Hong Kong, p. 2341-2344 How to cite?
Abstract: Near-duplicate video shots provide critical visual link between videos and detecting such video shots efficiently and effectively is of paramount importance in many applications such as detecting copyright infringement. In this paper, we propose an improved near-duplicate video shot detection approach by adaptively selecting reference frames for more effective shot representation. The correlation between adjacent frames is measured with Pearson's Correlation Coefficient (PCC) so that a set of compact yet representative reference frames can be selected adaptively in terms of content variation within video shots. Interest points are further extracted from the selected frames to effectively represent shot contents for similarity matching. Comprehensive experimental results on TRECVID-2008 corpus demonstrate that our proposed approach outperforms the state-of-the-art method effectively.
URI: http://hdl.handle.net/10397/29070
ISBN: 978-1-4244-7992-4
978-1-4244-7993-1 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5649254
Appears in Collections:Conference Paper

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