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Semantics in Image and Video Retrieval Systems 被引量：1

Semantics in Image and Video Retrieval Systems
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摘要 Multimedia document annotation is used in traditional multimedia databasesystems. However, without the help of human beings, it is very difficult to extract the semanticcontent of multimedia automatically. On the other hand, it is a tedious job to annotate multimediadocuments in large databases one by one manually. This paper first introduces a method to constructa semantic net-work on top of a multimedia database. Second, a useful and efficient annotationstrategy is presented based on the framework to obtain an accurate and rapid annotation of anymultimedia databases. Third, two methods of joint similarity measures for semantic and low-levelfeatures are evaluated . Multimedia document annotation is used in traditional multimedia databasesystems. However, without the help of human beings, it is very difficult to extract the semanticcontent of multimedia automatically. On the other hand, it is a tedious job to annotate multimediadocuments in large databases one by one manually. This paper first introduces a method to constructa semantic net-work on top of a multimedia database. Second, a useful and efficient annotationstrategy is presented based on the framework to obtain an accurate and rapid annotation of anymultimedia databases. Third, two methods of joint similarity measures for semantic and low-levelfeatures are evaluated .
作者 CAIJun LIXiao-fei
机构地区 LabofMultimediaCommunications LabofMultimediaCommunications
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2002年第4期57-63,共7页 中国邮电高校学报（英文版）
关键词 image retrieval video retrieval semantic-based information retrieval MPEG-7 CONTENT-BASED FEATURE SEMANTICS image retrieval video retrieval semantic-based information retrieval MPEG-7 content-based feature semantics
分类号 TN919.81 [电子电信—通信与信息系统]
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参考文献14

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二级参考文献6

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同被引文献12

  • 1MCCANE B,NOVINS K,CRANNITCH D,et al.On Benchmarking Optical Flow[J].Computer Vision and Image Understanding,2001,84 (1):126-143.
  • 2SONG S MOON-HO,KWON TAE-HOON.On Detection of Gradual Scene Changes for Parsing of Video Data[ C ] // Proceedings of SPIE,Storage And Retrieval for Image and Video Databases.San Jose,CA,USA:SPIE,1997,3312:404-409.
  • 3KOPRINSKAL I,CARRATO S.Tmporal Video Segmentation:A Survey[C] //Signal Processing:Image Communication,2001,16 (5):477-500.
  • 4SETCHELL C J,CAMPBE llN W.Using Colour Gabor Texture Features for Scene Understanding[ C] //7th International Conference on Image Processing and Its Applications,Institution of Electrical Engineers.Manchester,United Kingdom:[ s.n],1999:372-376.
  • 5TOURAPIS A M.ISO/IEC JTCl/S C29/WGl1 MPEG2000/M5867 (2000),Core Experiment on Block Based Motion Estimation[ S].
  • 6TOURAPIS A M,AU O C,LION M L,et al.In ISO/IEC JTCl/S C29/WG11 MPEG2000/m5866 (2000),Fast Block Matching Motion Estimation Using Predictive Motion Vector Field Adaptive Search Technique (PMVFAST)[ S].
  • 7ZHU S,MA K K.A New Diamond Search Algorithm for Fast Block-Matching Motion Estimation[J].IEEE Trans Image Processing,2000,9:287-290.
  • 8PO LAI-MAN,MA WING-CHUNG.A Novel Four-Step Search Algorithm for Fast Block Motion Estimation[ J ].IEEE Trans Circuits Syst Video Technol,1996,6 (3):313-317.
  • 9沈会良,李志能.基于矩和小波变换的数字、字母字符识别研究[J].中国图象图形学报（A辑）,2000,5(3):249-252. 被引量：36
  • 10金红,周源华.基于内容检索的视频处理技术[J].中国图象图形学报（A辑）,2000,5(4):276-283. 被引量：38

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The Journal of China Universities of Posts and Telecommunications
2002年 第4期

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