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Computer vision methods for fast ima...

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Computer vision methods for fast image classification and retrieval

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision methods for fast image classification and retrieval/ by Rafal Scherer.
作者:	Scherer, Rafal.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	ix, 137 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-12195-2
ISBN:	9783030121952

Computer vision methods for fast image classification and retrieval
Scherer, Rafal.

Computer vision methods for fast image classification and retrieval[electronic resource] /by Rafal Scherer. - Cham :Springer International Publishing :2020. - ix, 137 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8211860-949X ;. - Studies in computational intelligence ;v.821..

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.

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.

ISBN: 9783030121952

Standard No.: 10.1007/978-3-030-12195-2doiSubjects--Topical Terms:

586835
Engineering.

LC Class. No.: Q342 / .S347 2020

Dewey Class. No.: 006.3

Computer vision methods for fast image classification and retrieval
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505 0 $a 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.
520 $a 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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