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" Computer Vision Methods for Fast Image Classification and Retrieval "
Rafał Scherer.
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BL
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| Record Number
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860962
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| Main Entry
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Scherer, Rafał.
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| Title & Author
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Computer Vision Methods for Fast Image Classification and Retrieval\ Rafał Scherer.
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| Publication Statement
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Cham :: Springer International Publishing :: Imprint :: Springer,, 2020.
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| Series Statement
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Studies in Computational Intelligence,; 821
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1 online resource (IX, 137 pages 85 illustrations, 55 illustrations in color.) :: online resource
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| ISBN
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3030121941
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: 303012195X
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: 9783030121945
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: 9783030121952
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9783030121945
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9783030121976
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| Contents
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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.
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| Abstract
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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.
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| Subject
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Computer vision.
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Engineering.
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Computer vision.
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Engineering.
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| Dewey Classification
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006.3
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| LC Classification
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Q342
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