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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Computer Vision Methods for Fast Image Classification and Retrieval
• Author: Rafal Scherer
• Language: English
• Binding: Paperback
• Number of pages: 137
• EAN: 9783030121976
• ISBN: 3030121976
• ID: 33348255
• Publisher: Springer Nature Switzerland AG
• Weight: 454 g
• Dimensions: 235 × 155 × 9 mm
• Date of publishing: 28. October 2020

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