Computer Vision Methods for Fast Image Classification and Retrieval
Seiten
2019
|
1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-12194-5 (ISBN)
Springer International Publishing (Verlag)
978-3-030-12194-5 (ISBN)
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.
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.
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 Classification in Relational Databases etc.
Erscheinungsdatum | 09.02.2019 |
---|---|
Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | IX, 137 p. 85 illus., 55 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 391 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | Computational Intelligence • computer vision • feature detection • Image Description • Image Indexing Techniques • Relational Databases |
ISBN-10 | 3-030-12194-1 / 3030121941 |
ISBN-13 | 978-3-030-12194-5 / 9783030121945 |
Zustand | Neuware |
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