Computer Vision Methods for Fast Image Classification and Retrieval: 821 (Studies in Computational Intelligence) - Softcover

Scherer, Rafał

9783030121976: Computer Vision Methods for Fast Image Classification and Retrieval: 821 (Studies in Computational Intelligence)

Softcover

ISBN 10: 3030121976 ISBN 13: 9783030121976

Verlag: Springer, 2020

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The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as 'hand-crafted features.' It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.

Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book's main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.

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�ber die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teor�a y cr�tica del dise�o y han escrito m�s de sesenta libros sobre la materia, muchos de los cuales se han convertido en �xitos de ventas. Tambi�n han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Dise�o del siglo XX, El dise�o industrial de la A a la Z, Scandinavian Design y Dise�o del siglo XXI.

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The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as hand-crafted features. It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.

Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.

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VerlagSpringer
Erscheinungsdatum2020
ISBN 10 3030121976
ISBN 13 9783030121976
EinbandTapa blanda
SpracheEnglisch
Auflage1
Anzahl der Seiten148
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Computer Vision Methods for Fast Image Classi�cation and Retrieval

Rafa� Scherer

Verlag: Springer International Publishing, 2020

ISBN 10: 3030121976 ISBN 13: 9783030121976

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as 'hand-crafted features.' It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book's main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions. Artikel-Nr. 9783030121976

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