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  <titleInfo>
    <title>Artificial intelligence for maximizing content based image retrieval</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ma, Zongmin</namePart>
  </name>
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  <originInfo>
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    <place>
      <placeTerm type="text">Hershey, Pa</placeTerm>
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    <publisher>Information Science Reference</publisher>
    <dateIssued>c2009</dateIssued>
    <dateIssued encoding="marc">2009</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field</abstract>
  <tableOfContents>Genetic algorithms and other approaches in image feature extraction and representation -- Improving image retrieval by clustering -- Review on texture feature extraction and description methods in content-based medical image retrieval -- Content-based image classification and retrieval: a rule-based system using rough sets framework -- Content based image retrieval using active-nets -- Content-based image retrieval: from the object detection/recognition point of view -- Making image retrieval and classification more accurate using time series and learned constraints -- A machine learning-based model for content-based image retrieval -- Solving the small and asymmetric sampling problem in the context of image retrieval -- Content analysis from user's relevance feedback for content-based image retrieval -- Preference extraction in image retrieval -- Personalized content-based image retrieval -- A semantics sensitive framework of organization and retrieval for multimedia databases -- Content-based retrieval for mammograms -- Event detection, query, and retrieval for video surveillance -- MMIR: an advanced content-based image retrieval system using a hierarchical learning framework.</tableOfContents>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Zongmin Ma, editor</note>
  <note>Includes bibliographical references and index</note>
  <note>Electronic reproduction. Farmington Hills, Mi : Gale. Available via World Wide Web</note>
  <note>Original: xix, 430 p. : ill. ; 29 cm.</note>
  <note>Mode of access: Internet</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
  </subject>
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  <identifier type="isbn">9781605661759 (e-book)</identifier>
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