Semantic-based visual information retrieval
Semantic-based visual information retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access, interaction, searching, and retrieving from collected databases of visual media. Building on research from over 30 lea...
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| Format: | Electronic |
| Language: | English |
| Published: |
Hershey, Pa. :
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
c2007.
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| Online Access: | View fulltext via EzAccess |
| Summary: | Semantic-based visual information retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access, interaction, searching, and retrieving from collected databases of visual media. Building on research from over 30 leading experts from around the world, This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more. It also explains detailed solutions to a wide range of practical applications. Researchers, students, and practitioners will find this comprehensive and detailed volume to be a roadmap for applying suitable methods in semantic-based visual information retrieval. |
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| Physical Description: | electronic texts (xiii, 368 p. : ill.) : digital files. Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1599043726 (ebook) 9781599043722 (ebook) |
| Access: | Restricted to subscribers or individual electronic text purchasers. |