Developing an object-oriented framework for content-based image retrieval
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 523-565 |
| Journal / Publication | Software - Practice and Experience |
| Volume | 33 |
| Issue number | 6 |
| Publication status | Published - May 2003 |
Link(s)
Abstract
Content-based image retrieval (CBIR) is a process of retrieving images from an image database by exploiting the content of the images (typically the querying of an image). CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years. In this paper, a novel object-oriented framework (CBIRFrame) is built for CBIR applications development. We discuss the motivations for CBIRFrame before discussing its design in detail. Two applications of CBIRFrame are also briefly discussed to show the effectiveness of applying CBIRFrame to real applications. Finally, we outline the possible uses of the design of CBIRFrame for other types of domains, such as content-based retrieval of video clips. Copyright © 2003 John Wiley & Sons, Ltd.
Research Area(s)
- CBIRFrame, Content-based image retrieval, Design pattern, Object-oriented framework
Citation Format(s)
Developing an object-oriented framework for content-based image retrieval. / Cheung, Kent K.T.; Ip, Horace H.S.
In: Software - Practice and Experience, Vol. 33, No. 6, 05.2003, p. 523-565.
In: Software - Practice and Experience, Vol. 33, No. 6, 05.2003, p. 523-565.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review
