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Content-Based Image Retrieval [[electronic resource] ] : Ideas, Influences, and Current Trends / / by Vipin Tyagi



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Autore: Tyagi Vipin Visualizza persona
Titolo: Content-Based Image Retrieval [[electronic resource] ] : Ideas, Influences, and Current Trends / / by Vipin Tyagi Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XXXIV, 378 p. 134 illus., 73 illus. in color.)
Disciplina: 006.6
006.37
Soggetto topico: Optical data processing
Data structures (Computer science)
Pattern recognition
Signal processing
Image processing
Speech processing systems
Computer science—Mathematics
Computer mathematics
Applied mathematics
Engineering mathematics
Image Processing and Computer Vision
Data Structures and Information Theory
Pattern Recognition
Signal, Image and Speech Processing
Mathematical Applications in Computer Science
Mathematical and Computational Engineering
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Content-Based Image Retrieval  Visualizza cluster
ISBN: 981-10-6759-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910255453403321
Lo trovi qui: Univ. Federico II
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