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Issue No.04 - Oct.-Dec. (2012 vol.19)
pp: 6-10
Marcel Worring , University of Amsterdam, The Netherlands
Paul Sajda , Columbia University
Simone Santini , Universidad Autonoma de Madrid, Spain
David A. Shamma , Yahoo! Research
Alan F. Smeaton , Dublin City University, Ireland
Qiang Yang , Huawei Noah's Ark Lab, Hong Kong
ABSTRACT
What started as a field with an emphasis on optimally serving users' interactive information needs has now become dominated by methods that focus on improving the mean average precision (MAP) of a clearly defined task disconnected from its application. With the pervasiveness of the Internet and all the sensors available to derive contextual user information, it is time to bring the data and the user back together. As a field, we must consider understanding the subjective and descriptive nature of users and understanding data as equally interesting research topics that are both worthy of publication. At the 2012 ACM Second Annual International Conference on Multimedia Retrieval (ICMR) in Hong Kong, a panel took place with Marcel Worring as the moderator and the other authors of this article as the panelists. This panel discussion explored this intriguing question: Where is the user in multimedia retrieval?
INDEX TERMS
ACM International Conference on Multimedia Retrieval (ICMR), multimedia, multimedia retrieval, mean average precision (MAP), multimedia information retrieval, user query, TRECVID, Marcel Worring
CITATION
Marcel Worring, Paul Sajda, Simone Santini, David A. Shamma, Alan F. Smeaton, Qiang Yang, "Where Is the User in Multimedia Retrieval?", IEEE MultiMedia, vol.19, no. 4, pp. 6-10, Oct.-Dec. 2012, doi:10.1109/MMUL.2012.53
REFERENCES
1. R. Jain, "NSF Workshop on Visual Information Management Systems: Workshop Report," Proc. Storage and Retrieval for Image and Video Databases (SPIE), 1993, pp. 198–218.
2. C. Thornley et al., "The Scholarly Impact of TRECVid (2003–2009)," J. Am. Soc. Information Science and Technology (JASIST), vol. 62, no. 4, 2011, pp. 613–627.
3. A.W.M. Smeulders et al., "Content Based Image Retrieval at the End of the Early Years," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 12, 2000, pp. 1349–1380.
4. C.G.M. Snoek et al., "VideOlympics: Real-Time Evaluation of Multimedia Retrieval Systems," IEEE Multimedia, vol. 15, no. 1, 2008, pp. 86–91.
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