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Computer vision methods for fast image classification and retrieval
- 作者: Scherer, Rafal, author.
- 其他作者:
- 其他題名:
- Studies in computational intelligence ;
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: Studies in computational intelligence,volume 821
- 主題: Engineering. , Computer vision. , Computational Intelligence. , Image Processing and Computer Vision.
- ISBN: 9783030121952 (electronic bk.) 、 9783030121945 (hardback) 、 9783030121976 (paperback)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 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.
- 摘要註: 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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讀者標籤:
- 系統號: 005476815 | 機讀編目格式