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Perceptual Image Retrieval Using Eye Movements

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Book cover Advances in Machine Vision, Image Processing, and Pattern Analysis (IWICPAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4153))

Abstract

This paper explores the feasibility of using an eye tracker as an image retrieval interface. A database of image similarity values between 1000 Corel images is used in the study. Results from participants performing image search tasks show that eye tracking data can be used to reach target images in fewer steps than by random selection. The effects of the intrinsic difficulty of finding images and the time allowed for successive selections were also investigated.

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Author information

Authors and Affiliations

  1. University College London, Adastral Park, Ipswich, IP5 3RE, United Kingdom

    Oyewole Oyekoya & Fred Stentiford

Authors
  1. Oyewole Oyekoya
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  2. Fred Stentiford
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Editor information

Editors and Affiliations

  1. Xi’an Jiaotong University, 710049, Xi’an, China

    Nanning Zheng

  2. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, D-48149, Münster, Germany

    Xiaoyi Jiang

  3. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xianning West Road 28, 710049, Xi’an, China

    Xuguang Lan

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© 2006 Springer-Verlag Berlin Heidelberg

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Oyekoya, O., Stentiford, F. (2006). Perceptual Image Retrieval Using Eye Movements. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_30

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  • DOI: https://doi.org/10.1007/11821045_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37597-5

  • Online ISBN: 978-3-540-37598-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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