1st International Workshop on Internet Multimedia Mining
(with dataset support)
In conjunction with IEEE International Conference on Data Mining 2009
December 6 2009, Miami, Florida, USA
Aims and scope
With the explosion of video and image data available on the Internet, online multimedia applications become 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 new challenges to multimedia content analysis, multimedia retrieval and related multimedia applications, especially in scalability. Both computation cost and performance of many existing techniques are far from satisfactory. On the other hand, Internet also provides us with new opportunities to attack these challenges as well as conventional problems encountered in multimedia mining, content analysis, image/video understanding and computer vision. That is, the massive associated metadata, context and social information available on the Internet, as well as the massive grassroots Internet users, are invaluable 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 Mining".
One of the major obstacles of "Internet Multimedia Mining" research is the difficulty in forming a "good" dataset for algorithm developing, system prototyping and performance evaluation. Together with this workshop, we release a benchmark dataset, which is based on real Internet multimedia data and real Internet multimedia search engines. Submissions to this workshop are encouraged to use this dataset, but papers/demos working on other Internet-based datasets are also welcome.
MSRA Multimedia Dataset
MSRA-MM Version 1 dataset is ready for shipping. Detailed information about the dataset can be find here. Please contact the dataset chair (Meng Wang) to request the data.
MSRA-MM Version 2 dataset (10 times larger with more metadata) will be ready around June 15. Please submit your request to the dataset chair.
Please be noted that using these datasets is NOT mandatory. Papers/demos working on other Internet-based datasets are also welcome.
Topics of Interest
Topics of interest for this workshop include, but are not limited to:
Internet video/image/audio annotation, classification, tagging, search ranking and reranking by combining textual description and video/image content.
General video/image/audio annotation, classification, tagging, search ranking and reranking by exploiting Internet data and/or users. Approaches which can handle large-scale data/users are more preferred.
Video/image/audio processing and analyses using Internet data as a knowledge base.
Social media processing, such as online media authoring and sharing, tag recommendation, tag filtering, tag ranking, and search ranking based on image/video/audio social context.
Knowledge mining from Internet multimedia data, such as mining semantic distance of keywords or images, mining video/image/audio copy relationships (e.g., given a video/image/audio, to find all videos/images on the Internet that have the same content with the video/image, either entirely or partially), mining trends of multimedia consuming/sharing, mining knowledge (for example, "photo encyclopedia"", from massive amount of multimedia content on the Internet, etc.
Web-scale content-based multimedia retrieval (for example, approaches based on large-scale high-dimensional feature indexing).
Other online multimedia mining applications, such as multimedia advertising, multimedia recommendation, as well as location/GPS/geography-enabled multimedia, multimedia sensor network over the Internet, etc.
We accept two forms of submissions: regular full papers and demonstrations. Regular submissions for this workshop are required to use the same format as regular ICDM long papers (a maximum of 10 pages in the IEEE 2-column format). And demonstration submission requires a 1- or 2-page demo description. We especially encourage long-paper authors to submit a demo also. All submissions will be peer-reviewed by at least 3 members of the program committee. Extended version of selected papers will be invited to submit to a special issue of a top journal in data mining or multimedia area.
Paper submission entrance
CMT Conference System
The workshop will present two awards: a best paper award and a best demonstration award, judged by a separate awards committee.
August 8 Submission of full paper
August 29 Submission of demo paper
September 8 Notification of Acceptance
September 28 Camera-Ready Paper Due
December 6 Workshop
Xian-Sheng Hua, Microsoft Research Asia, China
Cees G.M. Snoek, University of Amsterdam, The Netherlands
Zhi-Hua Zhou, Nanjing University, China
Meng Wang, Microsoft Research Asia, China
Shih-Fu Chang, Columbia University, USA
Lingyu Duan, Peking University, China
Alan Hanjalic, Delft University of Technology, the Netherlands
Winston Hsu, National Taiwan University, Taiwan
Yiannis Kompatsiaris, Informatics and Telematics Institute, Greece
Shipeng Li, Microsoft Research Asia, China
Zhu Li, Hong Kong Polytechnic University, Hong Kong
Jiebo Luo, Kodak Research, China
Stéphane Marchand-Maillet, University of Geneva, Switzerland
Chong-Wah Ngo, City University of Hong Kong, Hong Kong
Shin’ichi Satoh, National Institute of Informatics, Japan
Nicu Sebe, University of Amsterdam, the Netherlands
Dacheng Tao, Nanyang Technological University, Singapore
Marcel Worring, University of Amsterdam, the Netherlands
Changsheng Xu, Chinese Academy of Sciences, China
Zhongfei Zhang, Binghamton University, USA
(To be completed)