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A System Supporting Semantics Retrieval

  • Yuqing Song
  • Aidong Zhang
Part of the Multimedia Systems and Applications Series book series (MMSA, volume 22)

Abstract

With the advance of multimedia technology, image data in various formats are becoming available at an explosive rate. With such enormous data resources, the search and retrieval of image databases are demanded to provide open access to relevant information and products. Thus, content-based image retrieval (CBIR) has become an active research area. A variety of techniques have been developed. In particular, content-based image retrieval using low-level features such as colour [36, 34, 26], texture [21, 33, 32, 20], shape [22, 14, 23, 24, 15, 10, 17] and others [30, 2, 16, 7] extracted from the images has been well studied. Various image querying systems including QBIC [11], VisualSeek [34], PhotoBook [27] and Virage [5] have been built based on the low-level features for general or specific image retrieval tasks.

Keywords

Geographic Information System Image Retrieval Minimal Span Tree Image Database Semantic Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Yuqing Song
    • 1
  • Aidong Zhang
    • 1
  1. 1.Department of Computer Science and EngineeringState University of New York at BuffaloBuffaloUSA

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