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Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Authors: Shambunatappa Gowdru, Shaila, Vadivel, A

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  • Covers essential techniques in Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR)
  • Describes a deep web crawler specification with indexer to improve coverage rate and retrieval performance
  • Shows that the n-gram thesaurus is a central component of any retrieval system
  • Includes a mathematical approach to query refinement, along with prediction for retrieval applications
  • Is supported by experimental results and analysis useful for the research community
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eBook $84.99
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  • ISBN 978-981-13-2559-5
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  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-13-2558-8
  • Free shipping for individuals worldwide
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  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $109.99
price for USA in USD
  • ISBN 978-981-13-4791-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner. 

About the authors

Dr. S.G. Shaila is an Associate Professor at the Department of Computer Science & Engineering, and earned her Ph.D. in Computer Science from the National Institute of Technology, Tiruchirapalli, Tamil Nadu for a thesis on Multimedia Information Retrieval in Distributed Systems. She brings with her years of teaching and research experience. Her main areas of interest are Information Retrieval, Image Processing, Cognitive Science and Pattern Recognition.


Dr. A. Vadivel received his Master’s in Science from the National Institute of Technology Trichy (NITT) before completing a Master’s in Technology (MTech) and PhD at the Indian Institute of Technology (IIT), Kharagpur, India. He has 12 years of technical experience as a Network & Instrumentation Engineer at the IIT-Kharagpur, and twelve years of teaching experience at Bharathidhasan University and NITT. Currently, he is working as an Associate Professor at SRM University Amaravathi, AP. He has published papers in more than 90 international journals and conference proceedings. His research areas are Content-Based Image and Video Retrieval, Multimedia Information Retrieval from Distributed Environments, Medical Image Analysis, Object Tracking in Motion Video, and Cognitive Science. He received the Young Scientist Award from the Department of Science and Technology, Government of India in 2007, the Indo-US Research Fellow Award from the Indo-US Science and Technology Forum in 2008, and the Obama-Singh Knowledge Initiative Award in 2013.

 

Table of contents (5 chapters)

Table of contents (5 chapters)
  • Intelligent Rule-Based Deep Web Crawler

    Pages 1-19

    Shaila, S. G. (et al.)

  • Information Classification and Organization Using Neuro-Fuzzy Model for Event Pattern Retrieval

    Pages 21-54

    Shaila, S. G. (et al.)

  • Constructing Thesaurus Using TAG Term Weight for Query Expansion in Information Retrieval Application

    Pages 55-75

    Shaila, S. G. (et al.)

  • Smooth Weighted Colour Histogram Using Human Visual Perception for Content-Based Image Retrieval Applications

    Pages 77-92

    Shaila, S. G. (et al.)

  • Cluster Indexing and GR Encoding with Similarity Measure for CBIR Applications

    Pages 93-122

    Shaila, S. G. (et al.)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-981-13-2559-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-13-2558-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $109.99
price for USA in USD
  • ISBN 978-981-13-4791-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis
Authors
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-2559-5
DOI
10.1007/978-981-13-2559-5
Hardcover ISBN
978-981-13-2558-8
Softcover ISBN
978-981-13-4791-7
Edition Number
1
Number of Pages
XXVI, 123
Number of Illustrations
19 b/w illustrations, 34 illustrations in colour
Topics