Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis - Brossura

Shaila, S.G.; Vadivel, A

Brossura

ISBN 10: 9811347913 ISBN 13: 9789811347917

Casa editrice: Springer, 2019

Riassunto

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. 

Su questo libro

Informazioni sull?autore

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.

 

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 9811347913
• ISBN 13: 9789811347917
• Rilegatura: Copertina flessibile
• Numero di pagine: 152
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania