| 书目名称 | Computer Vision Methods for Fast Image Classification and Retrieval |
| 编辑 | Rafał Scherer |
| 视频video | http://file.papertrans.cn/235/234021/234021.mp4 |
| 概述 | Highlights new research and techniques.Presents methods for accelerating image retrieval and classi?cation in large datasets.Includes selected methods that are designed to work directly in relational |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2020 |
| 关键词 | Computational Intelligence; Computer Vision; Feature Detection; Image Indexing Techniques; Image Descrip |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-12195-2 |
| isbn_softcover | 978-3-030-12197-6 |
| isbn_ebook | 978-3-030-12195-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手机版|小黑屋|
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