-------- Original-Nachricht -------- Betreff: CFP: Workshop on Parallel and Distributed Multimedia Datum: Wed, 16 Nov 2005 11:45:23 +0800 Von: Jack Lee yblee@ie.cuhk.edu.hk Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Call for Papers
Workshop on Parallel and Distributed Multimedia (PDM) In conjunction with International Conference on Parallel Processing (ICPP) '06
35th Annual Conference, 2006 International Conference on Parallel Processing (ICPP 2006)
http://www.cse.ohio-state.edu/%7Eicpp06/http://www.cse.ohio-state.edu/~icpp06/
Columbus, Ohio, USA, August 14, 2006 Scope and Interests
Multimedia systems using images, video, audio, graphics, and text are now essential to our daily lives. Several emerging multimedia applications, such as massive video and image data management, multimedia data mining and retrieval, object recognition, medical aids, etc. require massive computing power, which can only be met through parallel and distributed computing. These applications are leading to diverse and innovative research in parallel and distributed algorithms, architectures, and systems. Such research endeavors have been a subject of prolific research over the past two decades and continue to do so. The extensive amount of data present in images and videos contain inherent parallelism prompting researchers and practitioners to exploit parallel and distributed computing. This workshop seeks to consolidate the recent research achievements in developing new theories, algorithms, architectures, systems and integrated multimedia platforms that exploit parallel and distributed computing. Topics of interest include but are not limited to: * Multimedia Data Management: * Efficient data collection, multimedia databases, and aggregation from heterogeneous sensors; * Image and Video Mining: * Learning and representation of image and video data, taxonomy and ontology of perimeter security events; * Parallel and Distributed Video Surveillance: * Unsupervised detection of surveillance events, categorization, analysis and retrieval of wide-area multiple cameras surveillance videos; * Distributed Multimedia Sensor Fusion: * Information fusion through a network of biometric sensors and metal detectors, and transformation using image and video fusion; * Parallel Algorithms and Systems for Efficient Object tracking: * Tracking of humans and objects with location-aware and context-aware computing; * Distributed Multimedia Agents: * Exploit agent technology and pervasive computing to carry out distributed, real-time collaboration among software agents using multimedia data; * Motion-based video retrieval: * Parallel algorithms for visual motion descriptors, models for motion-based retrieval, matching motion trajectories, meta data, annotation tools and mark up languages; * Multimedia Systems on a Grid: * Exploiting distributed grids and clusters for multimedia information creation, collection, and dissemination. * Parallel Video Compression and Processing: * Algorithms for video and image compression and decompression. * Parallel Architectures: * Servers, ASICS (Application Specific Architectures) and reconfigurable media architectures exploiting SIMD and MIMD concepts. Important Dates
Submission Deadline February 20, 2006 Final Copy Due May 20, 2006
Workshop Organizer
http://ranger.uta.edu/%7EiahmadIshfaq Ahmad http://www.cse.uta.eduDept. of Computer Science and Engineering 248 Nedderman Hall, 416 Yates Street, http://www.uta.eduUniversity of Texas at Arlington, Box 19015 Arlington, TX 76019. Ph: 817-272-1526; mailto:iahmad@cse.uta.eduiahmad@cse.uta.edu
Committe
Shoukat Ali University of Columbia at Rolla Suchi Bhandharkar University of Georgia Hesham El-Rewini Southern Methodist University Kamal Karlapalem Int l Institute of Information Technology, Hyderabad, India Ashraf Kassim National University of Singapore Ashfaq Khokhar University of Illinois at Chicago Yu-Kwong Kwok University of Hong Kong Jack Lee Chinese University of Hong Kong Qing Li City University of Hong Kong John Lui Chinese University of Hong Kong Yu Su University of Central Arkansas R. Vaidyanathan Louisiana State University Bharadwaj Veeravalli National University of Singapore
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