Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

  • Authors:
  • Hongjiang Zhang;John Smith;Qi Tian

  • Affiliations:
  • Microsoft Research Advanced Technology Center, China;IBM T. J. Watson Research Center, Hawthorne, NY, USA;University of Texas at San Antonio, San Antonio, TX, USA

  • Venue:
  • Multimedia and Security Workshop 2005
  • Year:
  • 2005

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Abstract

It is our great pleasure to welcome you to the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval -- MIR'05. This year's workshop continues its tradition of being the premier forum for presentation of research results and experience reports on leading edge issues of multimedia information retrieval, including models, systems, applications, and theory. The mission of the workshop is to share novel multimedia information retrieval solutions that fulfill the needs of heterogeneous applications and environments and identify new directions for future research and development. MIR gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of multimedia information retrieval.The call for papers attracted 47 submissions to regular sessions from Asia, Europe, South America, Australia, Canada, and the United States. The program committee accepted 21 (10 oral and 11 poster) papers. There are two invited special sessions on "Machine Learning for Visual Information Retrieval", and "Multimedia Information Retrieval: Challenges and Real-world Applications". The workshop program covers a variety of topics, including image/video indexing, annotation, and retrieval, web-based searching and mining, learning techniques, and real world applications. In addition, the program includes a panel on "Multimedia Information Retrieval: What is it and Why isn't Anyone Using It?" and keynote speeches by Ramesh Sarukkai from Yahoo! Inc. on "Video Search: Opportunities & Challenges" and Wei-Ying Ma from Microsoft Research Asia on "From Relevance to Intelligence: Toward Next Generation Web Search". We hope that these proceedings will serve as a valuable reference for MIR researchers and developers.