Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

• Κύριοι συγγραφείς: Shaila, S.G (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Vadivel, A. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Information storage and retrieval.; Multimedia information systems.; Data mining.; Pattern recognition.; Information Storage and Retrieval.; Multimedia Information Systems.; Data Mining and Knowledge Discovery.; Pattern Recognition.

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 detecti...

Πίνακας περιεχομένων:

• Chapter 1. Architecture Specification of Rule-Based Deep Web Crawler with Indexer
• Chapter 2. Information Classification and Organization using Neuro-Fuzzy Model Event Retrieval. Chapter 3. N-Gram Thesaurus Generation for Query Expansion and Refinement using Tag Term Weight for Information Retrieval
• Chapter 4. Smooth Weighted Color Histogram using Human Visual Perception for CBIR Applications
• Chapter 5. Indexing and Encoding Color Histogram with Bin Overlapped Similarity Measure for Image Retrieval
• Chapter 6. Summary and Conclusion.