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Computer Vision Methods for Fast Image Classi?cation and Retrieval
Paperback
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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.
- Product Details
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- ISBN
- 9783030121976
- Format
- Paperback
- Publisher
- Springer, (28 October 2020)
- Number of Pages
- 137
- Weight
- 454 grams
- Language
- English
- Dimensions
- 235 x 155 x 8 mm
- Series:
- See all books in this series
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