| 书目名称 | Integrated Region-Based Image Retrieval | | 编辑 | James Z. Wang | | 视频video | | | 丛书名称 | The Information Retrieval Series | | 图书封面 |  | | 描述 | Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic pro | | 出版日期 | Book 2001 | | 关键词 | Textur; classification; clustering; computer vision; database; digital libraries; education; evaluation; ima | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-1641-5 | | isbn_softcover | 978-1-4613-5655-4 | | isbn_ebook | 978-1-4615-1641-5Series ISSN 1871-7500 Series E-ISSN 2730-6836 | | issn_series | 1871-7500 | | copyright | Springer Science+Business Media New York 2001 |
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发表于 2025-3-21 18:55:50
