Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

£74.50

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Graphical and digital media applications Data warehousing Data mining Information retrieval Expert systems / knowledge-based systems Pattern recognition

Authors: S.G. Shaila, A Vadivel

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Language: English

Published by: Springer

Published on: 29th September 2018

Format: LCP-protected ePub

Size: 3 Mb

ISBN: 9789811325595


Overview

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.

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