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Intelligent search for digital information is one of the major challenges of Artificial Intelligence (AI). The many sources of information now available -- text, images, audio, video, time series, sequence data and more -- increase the need for truly multimodal search. Searching for text, images and video is now common in internet search and digital libraries; searching for sequence data is now prevalent in bioinformatics. Clinical records containing unstructured and structured text along with clinical images and video are now being created in healthcare informatics. Finally, time series data is becoming increasingly prevalent in systems management and financial applications. The fundamental issues in the design of multimodal information retrieval revolve around fast ,accurate selection of data containing an answer to a query. This requires developing robust methods of multimodal feature extraction, data representation, organization, query formulation and search. Further, application-specific retrieval may require exploitation of domain knowledge at all stages of multimodal information retrieval The purpose of this workshop is to bring together researchers from content-based retrieval, AI, database, and application communities who are working in multimodal information retrieval. It calls for original, high-quality submissions that address innovative research and development of multimodal information retrieval systems. Topics of interests include but are not limited to:
SUBMISSIONPapers should not exceed eight pages in length in 12-point font and should remove any author associations to enable double-blind reviewing. All submissions will be peer-reviewed by at least three members of the program committee. Printed as well as electronic proceedings will be available. Please submit your paper at the Workshop submission site.
PEOPLEGeneral Chair: Narendra Ahuja, Univ. Illinois, Urbana, USA (ahuja at vision dor ai dot uiuc dot edu)Program Chairs: Tanveer Syeda-Mahmood, IBM Almaden Research, USA (stf@almaden.ibm.com)Mubarak Shah, Univ. of Central Florida, USA (shah at cs dot ucf dot edu) Local Organizing Committee: Santanu Chaudhury, IIT Delhi, India (santanuc@ee.iitd.ac.in)C. V. Jawahar, IIIT Hyderabad, India (jawahar at iiit.ac.in) Program Committee: Kobus Bernard, Univ. of Arizona,(kobus at cs dot arizona dot edu)Alberto del-Bimbo, Univ. of Firenze, Italy Shih-Fu Chang, Columbia University, USA(sfchang@ctr.columbia.edu) Rama Chellappa, Univ. of Maryland, College Park, USA (rama@cfar.umd.edu) Amit Roy-Chowdhury, Univ. California, Riverside, USA (amitrc@ee.ucr.edu) Rita Cucchiaa, University of Modena and Reggio Emilia, Italy (cucchiara.rita@unimore.it) Pinar Duygulu-Sahin, Bilkent University, Turkey, Eric Grimson, M.I.T, USA, Alan Hanjalic, Delft University of Technology, The Netherlands Lie LU, Microsoft Research Asia, China(llu@microsoft.com) R. Manmatha, Univ. of Massachusetts, Amherst, USA Milind Naphade, IBM T.J. Watson Research, USA PJ Narayan, IIT Hyderabad, India Raymond Ng, Univ. of British Columbia, Canada Shin'ichi Satoh, National Institute of Informatics, Japan ) Malcolm Slaney, Yahoo Research, USA (malcolm@ieee.org) Arnold Smeulders, Univ. of Amsterdam, Netherlands (smeulders@science.uva.nl) James Wang, Penn. State, USA (jwang AT ist.psu.edu) Eric Xing, Carnegie Mellon University, USA Ricardo Baeza-Yaetes, Yahoo Research, Chile Mohammed Zaki, Rensselaer Polytechnic Institute, USA (zaki@cs.rpi.edu) Lei Zhang, Microsoft Research, China CONTACTTanveer Syeda-Mahmood, stf@almaden.ibm.com
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