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Large-Scale Multimedia Retrieval and Mining
January-March 2011 (vol. 18 no. 1)
pp. 11-13
Rong Yan, Facebook
Benoit Huet, EURECOM
Rahul Sukthankar, Intel Labs and Carnegie Mellon University

This special issue samples the state of the art in large-scale multimedia analysis techniques and explores how advanced multimedia analysis techniques can be leveraged to address the challenges in large-scale data collections. In particular, from a total of 20 submissions, the guest editors selected five representative articles, that investigate large-scale multimedia analysis theory and systems across multiple application domains, such as Web event detection, landmark detection, image annotation, musical content mining, and cloud computing.

Index Terms:
Web event detection, landmark detection, image annotation, musical content mining, and cloud computing, Guest Editors' Introduction, IEEE MultiMedia
Citation:
Rong Yan, Benoit Huet, Rahul Sukthankar, "Large-Scale Multimedia Retrieval and Mining," IEEE Multimedia, vol. 18, no. 1, pp. 11-13, Jan.-March 2011, doi:10.1109/MMUL.2011.11
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