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

Scherer, Rafał

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

Sinopsis

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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Acerca del autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También 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, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.

De la contraportada

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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Otras ediciones populares con el mismo título

9783030121945: Computer Vision Methods for Fast Image Classification and Retrieval: 821 (Studies in Computational Intelligence, 821)

Edición Destacada

ISBN 10:  3030121941 ISBN 13:  9783030121945
Editorial: Springer, 2019
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