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Principles of Visual Information Retrieval /

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Principles of Visual Information Retrieval introduces the basic concepts and techniques in VIR and develops a foundation that can be used for further research and study. Divided into 2 parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VI...

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Bibliographic Details
Main Author: Lew, Michael S.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London, 2001.
Series:Advances in pattern recognition.
Subjects:
Computer science.
Information storage and retrieval systems.
Multimedia systems.
Artificial intelligence.
Optical pattern recognition.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Part I: Fundamental Principles: Visual Information Retrieval: Paradigms, Applications and Research Issues. Color Based Retrieval. Texture Features for Content Based Retrieval. State of the Art in Shape Matching. Feature Similarity. Feature Selection and Visual Learning. Video Indexing and Understanding
  • Part II: Advanced Topics: Query Languages for Multimedia Search. Relevance Feedback Techniques in Image Retrieval. Mix and Match Features in the ImageRover Search Engine. Integrating Analysis of Context and Image Content. Semantic Based Retrieval of Visual Data. Trademark Image Retrieval
  • Author Index
  • Subject Index.