Content-Based Image Retrieval

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Details

Covers state-of-the-art CBIR techniques

Provides a solid foundation for those working to advance the theory and practice of image retrieval

Includes information about various databases used in image retrieval research

Explains the key concepts of image low-level features giving some techniques


Covers state-of-the-art CBIR techniques Provides a solid foundation for those working to advance the theory and practice of image retrieval Includes information about various databases used in image retrieval research Explains the key concepts of image low-level features giving some techniques

Autorentext

Prof. Vipin Tyagi, Fellow IETE, is currently working at the Jaypee University of Engineering and Technology, Guna, India. He is the Vice President of the Computer Society of India (CSI) of Region 3. He is also associated with the CSI Special Interest Group on Cyber Forensics. He was President of the Engineering Sciences Section of the Indian Science Congress Association (ISCA) for the term 201011. He has published a number of papers in various prominent journals and advanced research series. He is a recognized expert in the areas Image Processing and Cyber Forensics.


Inhalt

Chapter 1. Introduction to Image Retrieval.- Chapter 2. Image Features.- Chapter 3. Content-based Multimedia Information Retrieval: State-of-the-art and Challenges.- Chapter 4. Images Matching through Region-based Similarity Technique.- Chapter 5. Visual Features In Image Retrieval Through CBIR.- Chapter 6. Content based Image Retrieval.- Chapter 7. Mathematical Tools for Image Retrieval.- Chapter 8. Text based Image Retrieval.- Chapter 9. Content based Image Retrieval of Texture Images.- Chapter 10. Content based Image Retrieval of Natural Images.- Chapter 11. Color based Image Retrieval.- Chapter 12. Shape based Image Retrieval.- Chapter 13. Geographical image Based Retrieval.- Chapter 14. Query Processing Issues in Region-based Image Retrieval.- Chapter 15. Research Topics for Next Generation Content based Image Retrieval.- Bibliography.- Appendix A: Image Databases.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789811067587
    • Herausgeber Springer Nature Singapore
    • Anzahl Seiten 412
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2017
    • Sprache Englisch
    • Gewicht 856g
    • Untertitel Ideas, Influences, and Current Trends
    • Autor Vipin Tyagi
    • Größe H241mm x B160mm x T27mm
    • Jahr 2018
    • EAN 9789811067587
    • Format Fester Einband
    • ISBN 9811067589
    • Veröffentlichung 25.01.2018
    • Titel Content-Based Image Retrieval

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