Gaze-based interaction for semi-automatic photo cropping

  • Authors:
  • Anthony Santella;Maneesh Agrawala;Doug DeCarlo;David Salesin;Michael Cohen

  • Affiliations:
  • Rutgers University, Piscataway, NJ;UC Berkeley Computer Science, Berkeley, CA;Rutgers University, Piscataway, NJ;Adobe Systems and University of Washington, Seattle, WA;Microsoft Research, Redmond, WA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2006

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Abstract

We present an interactive method for cropping photographs given minimal information about important content location, provided by eye tracking. Cropping is formulated in a general optimization framework that facilitates adding new composition rules, and adapting the system to particular applications. Our system uses fixation data