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LSMMRM 2009 : First ACM Workshop on Large-Scale Multimedia Retrieval and Mining

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Link: http://www.acmmm09.org/workshop/MRM2009/default.aspx
 
When Oct 23, 2009 - Oct 23, 2009
Where Beijing, China
Submission Deadline Jul 5, 2009
Notification Due Jul 17, 2009
Final Version Due Jul 24, 2009
Categories    multimedia   computer vision   machine learning   information retrieval
 

Call For Papers

In response to a number of requests, the deadline for ACM LS-MMRM'09 paper submissions has been extended to July 5, 2009. There will be no further extensions.

CALL FOR PAPERS

The 1st Workshop on Large-Scale Multimedia Retrieval and Mining (LS-MMRM), in conjunction with 2009 ACM International Conference on Multimedia (ACM-MM)

Beijing Hotel, Beijing, China
October 23, 2009

Recent years have witnessed an explosive growth of multimedia content driven by the wide availability of massive storage devices, high-resolution video cameras and fast networks. Stimulated by recent progress in scalable machine learning, feature indexing and multi-modal analysis techniques, researchers are becoming increasingly interested in exploring challenges and new opportunities for developing much larger scale approaches for multimedia retrieval and mining. Many of these computationally-intensive ideas are now becoming practical because of the broader availability of high-speed clusters and the advent of cloud computing.

This workshop aims to bring together researchers and industrial practitioners interested in large-scale multimedia retrieval and mining. The workshop will provide a venue for the participants to explore a variety of aspects and applications on how advanced multimedia analysis techniques can be leveraged to address the challenges in large-scale data collections. We solicit high-quality original papers for the technical sessions that address important issues in large-scale multimedia analysis, and which demonstrate that the proposed approaches scale to sufficiently large multimedia collections (e.g., hundreds of thousands of images, or hundreds of hours of video or audio content). The list of possible topics includes, but is not limited to:

- Indexing and retrieval for large multimedia collections (including images, video, audio and other multi-modal systems)
- Near-duplicate detection over large data sets
- Large-scale video event and temporal analysis over diverse sources
- Web-scale social-network and content-network analysis
- Automatic machine tagging, semantic annotation and object recognition on massive multimedia collections
- Collaborative image and video annotation for distributed users
- Interfaces for exploring, browsing and visualizing large multimedia collections
- Scalable and distributed machine learning and data mining methods for multimedia data
- Scalable and distributed multimedia content analysis systems
- Construction of standardized large-scale multimedia collections

Submissions for this workshop are required to follow the same format as regular ACM Multimedia papers with no more than 8 pages. All submitted papers will go through a peer review process. The extended versions of selected papers will be invited for a special issue of a top-tier multimedia journal.

Additional information is available at the ACM Multimedia website:
http://www.acmmm09.org/workshop/MRM2009/default.aspx

Important Dates:

Jul. 5, 2009 (Sunday): Extended Submission Deadline
Jul. 17, 2009 (Friday): Acceptance Notification
Jul. 24, 2009 (Friday): Camera-Ready papers

Workshop Chairs:

Rong Yan (IBM TJ Watson Research)
Qi Tian (Microsoft Research Asia)
John R. Smith (IBM TJ Watson Research)
Rahul Sukthankar (Intel Research and Carnegie Mellon)

Program Committee:

Alan Smeaton (Dublin City University)
Alexander Hauptmann (CMU)
Andrew Zisserman (Oxford University)
Apostol Natsev (IBM Research)
Cees Snoek (University of Amsterdam)
Changsheng Xu (NLPR, China)
Chong-Wah Ngo (City University of Hong Kong)
Fei-Fei Li (Princeton Univ.)
Gang Hua (Microsoft Live Lab)
Jian Lu (Vobile Inc.)
Jianping Fan (Univ. of North Carolina, Charlotte)
Lexing Xie (IBM Research)
Malcolm Slaney (Yahoo Research)
Mei Chen (Intel Research)
Qifa Ke (Microsoft Research)
Ritendra Datta (Google)
Rainer Lienhart (University of Augsberg, Germany)
Rong Jin (Michigan State Univ.)
Shih-Fu Chang (Columbia University)
Shipeng Li (Microsoft Research Asia)
Sanjiv Kumar (Google)
Stephane Marchand-Maillet (University of Geneva, Switzerland)
Winston Hsu (National Taiwan Univ.)
Tat-Seng Chua (National University of Singapore)
Tsuhan Chen (Cornell University)

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