Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39199
Title: Finding interesting images in albums using attention
Authors: Vaiapury, K.
Kankanhalli, M.S. 
Keywords: Albums
Information search and retrieval
Interestingness
Multimedia Echronicles
Relevance Feedback
Visual Attention
Issue Date: 2008
Source: Vaiapury, K.,Kankanhalli, M.S. (2008). Finding interesting images in albums using attention. Journal of Multimedia 3 (4) : 2-13. ScholarBank@NUS Repository.
Abstract: Commercial systems such as Flickr display interesting photos from their collection as an interaction mechanism for sampling the collection. It purely relies on social activity analysis for determining the notion of interestingness. We propose an alternative technique based on content analysis for finding interesting photos in a collection. We use a combination of visual attention models and an interactive feedback mechanism to compute interestingness. A differentiating feature of our approach is the ability to customize the set of interesting photos depending upon the individual interest. Also, we incorporate non-identical duplicate detection as a mechanism to strengthen the surprise factor among the potentially interesting set of candidate photos. We have implemented the system and conducted a user study whose results are promising. This proposed work presents a variant on query by example integrating user relevance feedback to choose "interesting" photos. © 2008 Academy Publisher.
Source Title: Journal of Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/39199
ISSN: 17962048
Appears in Collections:Staff Publications

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