Special Sessions

There will be a few special sessions at the conference. They were selected from submitted session proposals via a peer-review process.

More details are in the conference program.

Archived: Call for Special Session Proposals

ACM SIGMM International Conference on Multimedia Information Retrieval (MIR) 2010 will include special sessions for emerging frontier theories or applications in the program. Work included in the special sessions is expected to represent the state-of-the-art and high-impact research directions in multimedia information retrieval.

Each special session will contain 4 - 6 invited papers. The session organizer(s) will be responsible for the selection of these papers. The session may begin with an overview paper on the topic being addressed and then be followed by the papers with specific technical contributions on the topic.

The following information should be included in the session proposal:

Proposals will be evaluated based on the timeliness of the topic and relevance to MIR, as well as the qualifications of the organizers and quality of the paper abstracts in the proposed session.

The organizers of an accepted special session will be responsible for ensuring the quality of the final papers included in the session as these papers would not otherwise receive peer reviews.

Important Dates

Sep 22, 2009: Special session proposals due

Oct 7, 2009: Decisions made on special session proposals

Nov 17, 2009: Submission of manuscripts to the chair of the special sessions

Dec 1, 2009: Feedbacks on the manuscripts provided by the chair

Dec 22, 2009: Final camera-ready manuscripts due

We extended the proposal submission deadline by a week from Sept 15, 2009.

Submission Procedure for Special Sessions

Proposal adhering to the above requirements should be sent by email to Jia Li (jiali at psu dot edu). All the papers in the special sessions should follow the same style as the regular MIR papers. More details on http://riemann.ist.psu.edu/mir2010

Jia Li
Department of Statistics
The Pennsylvania State University
(Office) +1-814-863-3074
(email) jiali at psu dot edu
(Web) http://www.stat.psu.edu/~jiali