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Image collection taxonomies for photo-book auto-population with intuitive interaction

Published:16 September 2008Publication History

ABSTRACT

We demonstrate a system for automatic image selection for photobook creation, along with an intuitive user interface for fine tuning of the selection results. A versatile image collection representation is introduced, which allows for automatic scalable selection in order to target a specific image count for a predetermined size photobook. The images are selected based on their relevance, while preserving a good coverage of the event (time plus people) in order to maintain the storytelling potential of the selection. The selected images are laid out and presented to the user through an Adobe Flex user interface, which allows them to select images and swap them by semantically related ones, in an intuitive manner. The final result is output to a PDF file.

References

  1. http://www.quietlyscheming.com/blog/components/flexbookGoogle ScholarGoogle Scholar
  2. Obrador, P., "Region Based Image Appeal Metric for Consumer Photos", to appear in IEEE Intl. Workshop on Multimedia Signal Processing, Cairns, Australia, 10-2008.Google ScholarGoogle Scholar
  3. Rodden, K., "Evaluating similarity-based visualizations as interfaces for image browsing". Ph.D. dissertation. University of Cambridge, Cambridge, U.K. 2002.Google ScholarGoogle Scholar

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  1. Image collection taxonomies for photo-book auto-population with intuitive interaction

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              • Published in

                cover image ACM Conferences
                DocEng '08: Proceedings of the eighth ACM symposium on Document engineering
                September 2008
                312 pages
                ISBN:9781605580814
                DOI:10.1145/1410140

                Copyright © 2008 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 16 September 2008

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                • demonstration

                Acceptance Rates

                DocEng '08 Paper Acceptance Rate21of62submissions,34%Overall Acceptance Rate178of537submissions,33%

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