Computer Vision Methods for Fast Image Classification and Retrieval
(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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Klappentext zu „Computer Vision Methods for Fast Image Classification and Retrieval “
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.
Inhaltsverzeichnis zu „Computer Vision Methods for Fast Image Classification and Retrieval “
Preface.- Chapter 1. Introduction.- Chapter 2. Feature Detection.- Chapter 3. Image Indexing Techniques.- Chapter 4. Novel Methods for Image Description.- Chapter 5. Image Retrieval and Classi¿cation in Relational Databases etc.
Bibliographische Angaben
- Autor: Rafal Scherer
- 2019, 1st ed. 2020, IX, 137 Seiten, 55 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030121941
- ISBN-13: 9783030121945
- Erscheinungsdatum: 07.02.2019
Sprache:
Englisch
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