高级检索
吴飞, 庄越挺. 互联网跨媒体分析与检索:理论与算法[J]. 计算机辅助设计与图形学学报, 2010, 22(1): 1-9.
引用本文: 吴飞, 庄越挺. 互联网跨媒体分析与检索:理论与算法[J]. 计算机辅助设计与图形学学报, 2010, 22(1): 1-9.
Wu Fei, Zhuang Yueting. Cross Media Analysis and Retrieval on the Web:Theory and Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(1): 1-9.
Citation: Wu Fei, Zhuang Yueting. Cross Media Analysis and Retrieval on the Web:Theory and Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(1): 1-9.

互联网跨媒体分析与检索:理论与算法

Cross Media Analysis and Retrieval on the Web:Theory and Algorithm

  • 摘要: 互联网信息不仅规模巨大,而且存在着十分广泛、错综复杂的交叉关联,呈现跨媒体特性.实现互联网中跨媒体数据的精确挖掘与检索是高效利用互联网资源迫切需要解决问题.文中对该领域所涉及的人脑认知跨媒体特性、多媒体检索标注与语义理解、跨媒体表达与识别、互联网跨媒体搜索以及海量数据处理机制等几个方面进行了综述,讨论了该领域目前存在问题和今后的发展趋势.

     

    Abstract: There exists extensive and complicated cross correlation,or cross media characteristic among the huge information on the Web.Discovery and retrieval of cross media information with high accuracy are crucial to make full use of web resources for meeting the users' information need.This paper gives a survey of cross media retrieval on various topics such as human cognition,multimedia annotation and semantic understanding,cross media representation and recognition,cross media retrieval and techniques for large scale of data.Meanwhile,the paper also discusses the open problems and potential trends in this field.

     

/

返回文章
返回