-------------------------------------------------------- Call for Papers for MDM/KDD 2007 (Submission Date: May 11th, 2007) -------------------------------------------------------- The Eighth Int. Workshop on Multimedia Data Mining 12 August 2007, San Jose, CA, USA http://aria.asu.edu/mdm07 -------------------------------------------------------- In conjunction with ACM SIGKDD 2007 -------------------------------------------------------- Multimedia information is ubiquitous and essential in many applications from homeland security to medicine and bioinformatics. As evidenced by the success of the previous editions of MDM/KDD, there is an increasing need in new techniques and tools that can detect and discover patterns, in multimedia data, that can lead to new knowledge. For example, tools are needed for discovering relationships between objects or segments within images, classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams. There is also an increasing interest in the real-time analysis of multimedia data generated by distributed sensory applications and ambient intelligence environments. MDM/KDD is a leading venue where researchers, both from the academia and industry, can exchange and compare both relatively mature and green house theories, methodologies, algorithms and frameworks for multimedia data mining. To address this aim, the workshop brings together experts in the analysis of digital media content, multimedia databases, multimedia information retrieval, and domain experts from different applied disciplines with potential in multimedia data mining and knowledge discovery. Like the previous editions, MDM 2007 will aim facilitating cross-disciplinary exchange of ideas. The major topics of the workshop include but are not limited to: - Integrated mining of different data formats (text, speech, video, images, relational data) - Combining mining results from different sources - Mining of data streams combined with structure data - Mining of multi-format/multimedia/multi-modal data - Theoretical frameworks for multimedia data mining. - Multimedia data sampling and preprocessing. - Representation and reuse of discovered knowledge. - Multimedia data description languages and formats. - Topic and event detection in multimedia data - Extracting semantics from multimedia databases. - Mining scientific multimedia data. - Man-machine interfaces for multimedia data mining. - Complexity, efficiency and scalability of multimedia data mining algorithms. - Data mining virtual communities and virtual worlds. - Real-time multimedia data mining systems. Papers, accepted for presentation at the workshop will be published in the workshop proceedings and will also be included in ACM Digital Libraries. All submitted papers will be refereed for quality and originality by the Program Committee. The acceptance/rejection of the papers will be based on these review results. Manuscripts should be in English and must not exceed 10 pages (ACM format). Submissions should include the title, author(s), authors' affiliations, e-mail addresses, tel/fax numbers, postal address, and an abstract on the first page. An electronic version (PDF format) of the full paper should be submitted by May 11th, 2007, by email to candan@asu.edu. For further information please visit the workshop web site at http://aria.asu.edu/mdm07 or contact the MDM/KDD07 co-chairs: K. Selcuk Candan Dept. of Computer Science and Engineering Arizona State University Tempe, AZ 85287-8809, USA phone: (480) 965-2770 fax: (480) 965-2751 email: candan@asu.edu http://www.public.asu.edu/~candan Zhongfei (Mark) Zhang Computer Science Department Watson School, SUNY Binghamton Binghamton, NY 13902-6000, USA zhongfei@cs.binghamton.edu http://www.cs.binghamton.edu/~zhongfei/ -------------------------------------------------------- IMPORTANT DATES: Submission: May 11th, 2007 Notification: June 13th, 2007 Camera-ready: June 20th, 2007 -------------------------------------------------------- PROGRAM COMMITTEE: Lei Chen (HKUST, Hong Kong) Shu-Ching Chen (Florida Int. U., USA) Max J. Egenhofer (Univ. of Maine, USA) Wynne Hsu (Nat.Univ, Singapore) Mohan S Kankanhalli (Nat.Univ, Singapore) Odej Kao (TU Berlin, Germany) Huan Liu (Arizona SU, USA) Bo Long (SUNY Binghamton, USA) Jiebo Luo (Eastman Kodak, USA) Dunja Mladenic (J.Stefan Inst., Slovenia) Vincent Oria (NJIT, USA) Jia-Yu Pan (Google, USA) Jian Pei (Simon Fraser U., Canada) Lina Peng (Arizona SU, USA) Maria Luisa Sapino (U.Torino,Italy) Shin'ichi Satoh (NII, Japan) Nicu Sebe (U. Amsterdam,Netherlands) Mei-Ling Shyu (Univ. Miami, USA) Hari Sundaram (Arizona SU, USA) Zhaohui Tang (Microsoft, USA) Belle L. Tseng (NEC Labs America, USA) Aparna Varde (VSU, USA) Jie Yang (CMU, USA) Philip S. Yu (IBM T.J.Watson, USA) Ruofei Zhang (Yahoo!, USA) Zhi-Hua Zhou (Nanjing Univ., China) -------------------------------------------------------- STEERING COMMITTEE: Fatma Bouali (U. of Lille2, France) Chabane Djeraba (LIFL, France) Latifor Khan (UT Dallas, USA) Florent Masseglia (INRIA, France) Valery A. Petrushin (Accenture TL, USA) Simeon J. Simoff (UTS, Australia) -------------------------------------------------------- SPONSORS: ACM SIGKDD CUbiC: Center for Cognitive Ubiquitous Computing @ ASU --------------------------------------------------------