Authors:
- 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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Table of contents (5 chapters)
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Front Matter
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Back Matter
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.
Authors and Affiliations
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Department of Computer Science and Engineering, Dayananda Sagar University, Bangalore, India
S.G. Shaila
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Department of Computer Science and Engineering, SRM University AP, Amaravati, India
A Vadivel
About the authors
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 papersin 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.
Bibliographic Information
Book Title: Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis
Authors: S.G. Shaila, A Vadivel
DOI: https://doi.org/10.1007/978-981-13-2559-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-13-2558-8Published: 10 October 2018
Softcover ISBN: 978-981-13-4791-7Published: 30 January 2019
eBook ISBN: 978-981-13-2559-5Published: 29 September 2018
Edition Number: 1
Number of Pages: XXVI, 123
Number of Illustrations: 19 b/w illustrations, 34 illustrations in colour
Topics: Information Storage and Retrieval, Multimedia Information Systems, Data Mining and Knowledge Discovery, Pattern Recognition