Can relevance of images be inferred from eye movements?

Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

Volumn , Issue , 2008, Pages 134-140

  Klami, Arto ^a   Saunders, Craig ^b   Campos, Teófilo E De ^c   Kaski, Samuel ^a  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

Experimentation; Human factors; Verification

Indexed keywords

EXPERIMENTATION; EXPLICIT FEEDBACK; EYE TRACKING DEVICES; HUMAN FACTORS; IMPLICIT FEEDBACK; QUERY FORMULATION; RELEVANCE FEEDBACK; SEARCH PROCESS; VIDEO RETRIEVAL;

EYE MOVEMENTS; IMAGE RETRIEVAL; INFORMATION SERVICES; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; SENSORS; UBIQUITOUS COMPUTING;

FEEDBACK;

EID: 70450240927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460120     Document Type: Conference Paper

References (13)

1. S. Clinchant, J. Renders, and G. Csurka. XRCE s participation to imageclefphoto 2007. In Working Notes of the CLEFWorkshop, 2007.
2. E. Cutrell and Z. Guan. What are you looking for?: An eye-tracking study of information usage in web search. In CHI '07: Proceedings of the SIGCHI conference on Human Factors in Computing Systems, pages 407-416, New York, NY, USA, 2007. ACM.
3. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Transactions on Computing Surveys, 40(2), 2008.
4. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results.http://www. pascal-network.org/challenges/VOC/voc2007/workshop/index.html, 2007.
5. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker. Query by image and video content: The QBIC system. Computer, 28:23-32, 1995.
6. L. A. Granka, T. Joachims, and G. Gay. Eye-tracking analysis of user behavior in WWW search. In SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and Development in Information Retrieval, pages 478-479, New York, NY, USA, 2004. ACM.
7. D. R. Hardoon, J. Shawe-Taylor, A. Ajanki, K. Puolamäki, and S. Kaski. Information retrieval by inferring implicit queries from eye movements. In 11th International Conference on Artificial Intelligence and Statistics, 2007.
8. D. Kelly and J. Teevan. Implicit feedback for inferring user preference: A bibliography. ACM SIGIR Forum, 37(2):18-28, 2003.
9. J. Laaksonen, M. Koskela, and E. Oja. PicSOM - self-organizing image retrieval with MPEG-7 content descriptions. IEEE Transactions on Neural Networks, 13(4):841-853, 2002. (Pubitemid 34945185)
10. M. S. Lew, N. Sebe, C. Djeraba, and R. Jain. Content-based multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing, Communications and Applications, 2(1):1-19, 2006.
11. P. P. Maglio and C. S. Campbell. SUITOR: An attentive information system. In Proceedings of the 5th International Conference on Intelligent User Interfaces, pages 169-176, 2000.
12. F. Perronnin and C. Dance. Fisher kernel on visual vocabularies for image categorization. In Proc. Computer Vision and Pattern Recognition, Minneapolis, MN, USA, June 18-23 2007.
13. J. Salojärvi, I. Kojo, J. Simola, and S. Kaski. Can relevance be inferred from eye movements in information retrieval? In Proceedings of WSOM'03, Workshop on Self-Organizing Maps, pages 261-266. Kyushu Institute of Technology, Kitakyushu, Japan, 2003.