Zbingniew, Zdziarski and Dahyot, Rozenn (2009) Robust Panning Analysis for Slideshow Detection in Video Databases. 2009 13th International Machine Vision and Image Processing Conference.

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Abstract

We present an algorithm for slideshow detection in video databases such as YouTube or Blip.TV. Our solution is based around feature tracking to extract movement between sequentially captured frames. This movement is then analysed through the use of the Hough transform and compared against behaviour commonly exhibited by slideshows: still and panning static images. We show experimentally the effectiveness of this novel idea and approach

Item Type:	Article
Keywords:	slideshow detection; video databases; Hough Transform; feature tracking;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15284
Identification Number:	https://doi.org/10.1109/IMVIP.2009.23
Depositing User:	Rozenn Dahyot
Date Deposited:	19 Jan 2022 12:35
Journal or Publication Title:	2009 13th International Machine Vision and Image Processing Conference
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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