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The sound of light: induced synesthesia for augmenting the photography experience

Published:27 April 2013Publication History

ABSTRACT

This paper presents a novel approach to assist users of digital cameras and augment their photograph taking experience. To this end, a realtime analysis of the images framed by the camera is conducted to assess composition, exposure and presence of human subjects. The resulting information is used to give users feedback about their photographs before they release the shutter. The main contribution of this paper is the use of synesthetic feedback: a musical composition that maps aspects resulting from the realtime analysis of images is composed and played back to the photographer. A preliminary study shows that musical attributes can be controlled to provide effective feedback about the visual modality.

References

  1. Brewster, S., McAdam, C., McDonald, J., and Maciver, J. Rethinking camera user interfaces. In Digital Photography VIII, vol. 8299, SPIE (2012).Google ScholarGoogle ScholarCross RefCross Ref
  2. Brewster, S. A., and Johnston, J. Multimodal interfaces for camera phones. MobileHCI '08, ACM (2008), 387--390. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Koelsch, S., and Siebel, W. A. Towards a neural basis of music perception. Trends in Cognitive Sciences 9, 12 (2005), 578 -- 584.Google ScholarGoogle ScholarCross RefCross Ref
  4. McAdam, C., Pinkerton, C., and Brewster, S. A. Novel interfaces for digital cameras and camera phones. MobileHCI '10, ACM (2010), 143--152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Obrador, P., Schmidt-Hackenberg, L., and Oliver, N. The role of image composition in image aesthetics. In Image Processing, Conf., IEEE (2010), 3185--3188.Google ScholarGoogle Scholar

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  1. The sound of light: induced synesthesia for augmenting the photography experience

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    • Published in

      cover image ACM Conferences
      CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
      April 2013
      3360 pages
      ISBN:9781450319522
      DOI:10.1145/2468356

      Copyright © 2013 Copyright is held by the owner/author(s)

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 April 2013

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      Acceptance Rates

      CHI EA '13 Paper Acceptance Rate630of1,963submissions,32%Overall Acceptance Rate6,164of23,696submissions,26%

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