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ACM SIGMM Interest List <[log in to unmask]>
Xian-Sheng Hua <[log in to unmask]>
Sat, 14 Feb 2009 14:21:08 +0800
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Xian-Sheng Hua <[log in to unmask]>
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Extended Deadline (Mar 1 2009) - Final CFP (IMSM'09)
First ICME Workshop on Internet Multimedia Search and Mining (IMSM'09)
In conjunction with IEEE ICME 2009
             July 3, 2009
           Cancun, Mexico
Paper Submission Due: Mar 1, 2009 (***Final Extended***)
Notification of Acceptance: March 15, 2009
Camera-Ready Paper Due: March 31, 2009

With the explosion of video and image data available on the
Internet, online multimedia search becomes more and more important.
Moreover, mining semantics and other useful information from large-
scale Internet multimedia data to facilitate online and local
multimedia content analysis, search, and other related applications
has also gained more and more attention from both academia and industry.

On the one hand, the rapid increase of online multimedia data brings
us new challenges to multimedia content analysis and multimedia
retrieval especially in terms of scalability. Both computational
costs and accuracy are still far from satisfactory. While on the
other hand, Internet also provides us new opportunities to attack
these challenges as well as conventional problems in media analysis
and computer vision. That is, the massive associated metadata
available on the Internet, as well as the massive grassroots
Internet users, are valuable resources that can be leveraged to
solve the aforementioned difficulties.

Recently, more and more researchers are realizing both the
challenges and the opportunities for multimedia research brought by
the Internet. This workshop aims at bringing together high-quality
and novel research works on "Internet Multimedia", or more
specifically, Internet-based multimedia search as well as Internet-
based multimedia mining. Topics of interest for this workshop
include, but are not limited to:

1. Internet video/image search ranking and reranking by combining
textual description and video/image content.

2. General video/image search ranking and reranking by exploiting
Internet data and/or users.

3. Internet video/image classification, annotation, and tagging.
Approaches which can handle large-scale data are more preferred.

4. General video/image classification, annotation, and tagging by
leveraging Internet data and/or users.

5. Internet video/image search result presentation and management,
such as clustering, summarization, and browsing.

6. Video/image processing using Internet data as a knowledge base.

7. Tag recommendation, filtering, and ranking based on image/video
social tagging.

8. CBIR for large-scale datasets (i.e., high-dimensional feature indexing).

9. Query suggestion for video/image search based on both text and
image/video data.

10. Knowledge mining from Internet multimedia data, such as mining
semantic distance of keywords or images, and mining video/image copy
relationships (e.g., given a video/image, to find all videos/images
on the Internet that have the same content with the video/image,
either entirely or partially).

Submissions for this workshop are required to use the same format as
regular ICME papers. All submitted papers will go through a peer
review process. Extended version of selected papers will be invited
to submit to a special issue of a top journal in multimedia area (pending).

Workshop Chair

      Xian-Sheng Hua (Microsoft Research Asia, China)
      Marcel Worring (University of Amsterdam, Netherlands)

Program Committee

      Tat-Seng Chua (National University of Singapore, Singapore)
      Winston Hsu (National Taiwan University, Taiwan)
      Lyndon Kennedy (Columbia University, USA)
      Zhu Li (Hong Kong Polytechnic University, China)
      Tao Mei (Microsoft Research Asia, China)
      Vanessa Murdock (Yahoo! Research, Spain)
      Chong-Wah Ngo (City University of Hong Kong, China)
      Cees Snoek (University of Amsterdam, Netherlands)
      Bo Tao (Google China, China)
      Dacheng Tao (Nanyang Technological University, Singapore)
      Adrian Ulges (DFKI, Germany)
      Rong Yan (IBM TJ WatsonResearch Center, USA)
      Lei Zhang (Microsoft Research Asia, China)

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