JOURNAL OF MULTIMEDIA (JMM)
ISSN : 1796-2048
Volume : 3    Issue : 4    Date : October 2008

Finding Interesting Images in Albums using Attention
Karthikeyan Vaiapury and Mohan S. Kankanhalli
Page(s): 2-13
Full Text:
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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.

Index Terms
Multimedia Echronicles, Interestingness, Visual Attention, Albums, Relevance Feedback,
Information search and retrieval.