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CFP:ACM MIR2008

点击次数:发布时间:2008-04-14 22:02作者:admin

ACM International Conference on Multimedia Information Retrieval
October 30-31, 2008
Vancouver, Canada (colocated with ACM Multimedia 2008)

 

 

www.mir2008.org

Invited Speakers

Prof. Thomas S. Huang, University of Illinois at Urbana-Champaign

Prof. Shih-Fu Chang, Columbia University

Prof. Ramesh Jain, University of California, Irvine

Important Dates

June 23rd, 2008: Paper Submission

July 14th, 2008: Acceptance Notification

July 20th, 2008: Camera Ready Papers Due

Overview

The ACM International Conference on Multimedia Information Retrieval is a premier scientific meeting for discussing the latest advances in the area of multimedia retrieval. All papers in the main track must be high quality original papers which address important issues in multimedia exploration, summarization and retrieval including, but not limited to:

Exploration of media archives - browsing, experiential computing
Interfaces for multimedia exploration, visualization, query and retrieval
Indexing and search of multimedia data: images, video, audio, multi-modal systems
Digital life experience analysis and retrieval - life logs, digital immortality, life bits
Video surveillance browsing and retrieval, object detection and recognition, archiving
Learning and relevance feedback in multimedia retrieval
Applications - world wide web searching, preserving cultural heritage, trademark search, data mining, person identification, scientific media, bio-computing and medical multimedia mining/indexing (MRI, CT, ...)
 

Brave New Topics Session - for emerging frontier theories or applications in MIR. Note that the typical novelty requirement in this session is much higher than the regular paper submissions.

Paper Submission

Double-blind full papers (preferably 6-8 pages in the ACM style sheet in English), should be submitted through the website submission system. We recommend the authors not give any indications of authorship in the text.

www.mir2008.org

项目简介及成果展示



    本项目针对下一代互联网的高效性、可扩展性、安全性和高服务,提出建立一种新的存储模式,即“多层次、可扩展的存储对象”模式,并研究相关的核心技术,达到统一和更新网络存储,组建PB级的基于存储对象的存储系统。项目重点研究内容包括:基于存储对象的分布体系结构;高速通道;海量数据存储网络;数据组织与共享机制;存储按需部署与服务质量;GIS分布存储示范应用系统。预期在存储系统理论和核心技术方面获得突破,形成有自主知识产权的信息存储技术。本项目由华中科技大学主持,参加单位有武汉大学测绘遥感信息工程国家重点实验室,清华大学计算机系,北京大学计算机系,中科院计算所,解放军通信指挥学院等。
相关链接

华中科技大学 信息存储与应用实验室
地址: 湖北省武汉市珞喻路1037号 华中科技大学南一楼中501室 邮编:430074
Tel:(027)87542463 (027)87557649 Fax:(027)87545004