返回Google圖書搜尋

Progressive Search and Retrieval in Large Image Archives

出版	IBM T.J. Watson Research Center, 1996
URL	http://books.google.com.hk/books?id=fRthGwAACAAJ&hl=&source=gbs_api

註釋Abstract: "Technological advances over the last several years have resulted in digital image and video libraries that, today, comprise tens of terabytes of on-line data. Due to the continued proliferation of image data, these libraries will grow significantly larger over the next few years. Consequently, the need for databases that can effectively support storage, search, retrieval and transmission of this kind of nontraditional data will grow significantly. This paper describes a project currently in progress at the IBM T.J. Watson Research Center under joint sponsorship by NASA, GSFC that explores some of these challenges. In this paper, we describe the architecture and implementation of a framework to perform content-based search of an image database where content is specified by the user at one or more of the three abstraction levels: pixel, feature, and semantic. This framework incorporates a progressive methodology that allows a computationally efficient implementation of the image processing algorithms required in extracting the content during the query execution. As a result, this framework is more scalable to a large image archive."