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CAREER: Multimedia Analysis and Retrieval System

CAREER: Multimedia Analysis and Retrieval System
职业:多媒体分析和检索系统
批准号:
9734300
负责人:
Sharad Mehrotra
金额:
$7.32万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-06-01 至 1999-02-05

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中文摘要
翻译
本研究的重点是开发一个集成的多媒体信息检索和数据库管理基础架构,该基础架构支持多媒体信息作为一类对象,能够基于其丰富的内部内容进行存储和检索。具体来说,正在探索以下技术:(1)提取和表示对检索有用的多个语义层次的多媒体内容;(2)将基于文本的信息检索方法推广到基于内容的多媒体检索中;(3)将高级查询映射到数据库支持的低级表示;(4)进行特征索引,克服多媒体特征空间的高维性和非欧几里得性;(5)在数据库管理系统中集成特征索引机制作为访问路径;(6)支持数据库管理系统中的排序检索。在此基础上,设计了一个将多媒体数据与传统存储在数据库中的结构化信息无缝集成的多媒体分析与检索系统原型系统。在教育方面,正在修改现有的数据库课程,以纳入多媒体信息系统的不断发展的研究和发展。此外,MARS原型系统正在作为教学、教育和研究工具,用于研究支持基于内容的检索中的人为因素问题。本研究不仅对未来多媒体信息系统的设计有潜在的影响,而且也将证明对其他领域有益,包括地理信息检索、规划和推理在数据库系统上的应用。http://www-mars.cs.uiuc.edu
英文摘要
This research focuses on developing an integrated multimedia information retrieval and database management infrastructure that provides support for multimedia information as first-class objects capable of being stored and retrieved based on their rich internal content. Specifically, techniques are being explored to (1) extract and represent multimedia content at multiple semantic levels useful for retrieval; (2) generalize text-based information retrieval approaches for content-based multimedia retrieval; (3) map high-level queries to lower-level representations supported by the database; (4) perform feature indexing that overcomes the high-dimensionality and non-euclidean nature of multimedia feature spaces; (5) integrate feature indexing mechanisms as access paths in database management systems; and (6) support ranked retrieval in database management systems. Based on the research, a prototype system, entitled Multimedia Analysis and Retrieval System (MARS), that seamlessly integrates multimedia data with structured information traditionally stored in databases is being designed. On the educational front, the existing database curriculum is being modified to incorporate evolving research and development in multimedia information systems. Also, the MARS prototype system is being made available as a teaching, education, and research tool to study human factors issues in supporting content-based retrieval. This research not only has the potential to impact the design of future multimedia information systems but will also prove beneficial to other areas including geographical information retrieval, planning and reasoning applications over database systems. http://www-mars.cs.uiuc.edu
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会议论文
Travel: Request for Student Travel Support for the 48th International Conference on Very Large Databases 2022
  • 批准号:
    2230342
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2022
  • 负责人:
    Sharad Mehrotra
  • 依托单位:
RAPID: An Organizational Scale Approach to Privacy-Enabled Contact Tracing in COVID-19
  • 批准号:
    2032525
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2020
  • 负责人:
    Sharad Mehrotra
  • 依托单位:
III: Small: EnrichDB - Supporting Enrichment in Database Systems
  • 批准号:
    2008993
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Sharad Mehrotra
  • 依托单位:
Student Support for the 46th International Conference on Very Large Databases (VLDB 2020)
  • 批准号:
    2025108
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2020
  • 负责人:
    Sharad Mehrotra
  • 依托单位:
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