Computer Vision Methods for Fast Image Classi¿cation and Retrieval / Studies in Computational Intelligence Bd.821 (PDF)
(Sprache: Englisch)
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...
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Produktinformationen zu „Computer Vision Methods for Fast Image Classi¿cation and Retrieval / Studies in Computational Intelligence Bd.821 (PDF)“
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.
Bibliographische Angaben
- Autor: Rafal Scherer
- 2019, 1st ed. 2020, 137 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 303012195X
- ISBN-13: 9783030121952
- Erscheinungsdatum: 29.01.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 7.04 MB
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Sprache:
Englisch
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