CALL FOR PAPERS The 1st ACM 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. We plan to invite extended versions of selected papers 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: Jun. 19, 2009 (Friday): 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)