Epitome - A social game for photo album summarization

Ivan Ivanov, Peter Vajda, Jong Seok Lee, Touradj Ebrahimi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose an approach for photo album summarization through a novel social game"Epitome"for mobile phones. Our approach to album summarization consists of two games: "Select the Best!" and "Split it!". The goal of the first game is to allow a user to select the most representative photo of a reduced set of images, while in the second game, the user has to split the reduced set into two distinct parts. As it could be time-consuming to look at a huge collection of photos on a mobile phone, it is more enjoyable and pleasant to show only a limited number of images which can be fit into one mobile screen. The results obtained in these games are combined to produce a summarization and are then compared with the results of other users. As a final result, a unique summarization sequence of photos is determined. The determined sequence of photos can be used to create a collage of one album or a cover for an album. The proof of concept of the proposed method is demonstrated through a set of experiments on several photo collections.

Original languageEnglish
Title of host publicationCMM'10 - Proceedings of the 1st ACM Workshop on Connected Multimedia, Co-located with ACM Multimedia 2010
Pages33-38
Number of pages6
DOIs
Publication statusPublished - 2010
Event1st ACM Workshop on Connected Multimedia, CMM'10, Co-located with ACM Multimedia 2010 - Firenze, Italy
Duration: 2010 Oct 292010 Oct 29

Publication series

NameCMM'10 - Proceedings of the 1st ACM Workshop on Connected Multimedia, Co-located with ACM Multimedia 2010

Other

Other1st ACM Workshop on Connected Multimedia, CMM'10, Co-located with ACM Multimedia 2010
Country/TerritoryItaly
CityFirenze
Period10/10/2910/10/29

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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