Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	2019
First published:	2018
Authors:	S. G. Shaila • A. Vadivel
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	123
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-981-13-4791-7
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > Data warehousing Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	981-13-4791-3
Barcode:	9789811347917

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