location-svg
Meine Position
Download
Content-Based Image Retrieval
eBook
eBook
Fachbuch
2018

Content-Based Image Retrieval

Ideas, Influences, and Current Trends

Bewertung abgeben
Autor/-in
ISBN
EAN
978-981-10-6759-4
9789811067594
Artikel-Nr.
94R9NW8
Rabatt
-21.7
%
CHF 130.00
CHF
101.73
Anzahl
1
speech-bubble-svg Beschreibung

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies.

The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

feather-svg
Stichwörter
Inhaltsverzeichnis

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.

feather-svg
Autor/-in
Autor/-in
Biografie

Vipin Tyagi, Fellow-IETE, is currently working as Professor in Computer Science and Engineering and Head- Faculty of Mathematical Sciences at the Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India. He is the Vice President of the Computer Society of India (CSI) of Region 3 and 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 2010-11. He has published several books and a number of papers in various prominent journals and advanced research series, and is a recognized expert in the areas of image processing, cyber security and cyber forensics. He can be reached at dr.vipin.tyagi@gmail.com.

Publikation
Singapur
15.01.2018
Springer Verlag
speech-bubble-svg
Sprache
Englisch
book-svg Format
eBook
PDF
378 Seiten
star-svg
Bewertungen
credit-card-svg Zahlungsarten
payment-einzahlungsschein payment-twint payment-mastercard payment-visa payment-american-express payment-post-finance payment-e-post-finance payment-apple-pay payment-google-pay samsung-pay
Bestellen Sie einfach auf Rechnung oder bezahlen Sie bequem und gebührenfrei mit Twint, Kreditkarte, PostFinance, Apple, Google oder Samsung Pay.
Rückgabe
Kein Rückgaberecht
Bei diesem eBook hat entweder der Verlag (Hersteller) das Rückgaberecht ausgeschlossen oder eine Rückgabe ist aufgrund des Vertriebssystems nicht möglich.
eldar-store-white-svg
S
SPIEGEL Bestseller