Please use this identifier to cite or link to this item:
|Title:||An evaluation of color-spatial retrieval techniques for large image databases|
|Authors:||Tan, K.-L. |
|Citation:||Tan, K.-L., Ooi, B.C., Yee, C.Y. (2001). An evaluation of color-spatial retrieval techniques for large image databases. Multimedia Tools and Applications 14 (1) : 55-78. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1011359607594|
|Abstract:||In a color-spatial retrieval technique, the color information is integrated with the knowledge of the colors' spatial distribution to facilitate content-based image retrieval. Several techniques have been proposed in the literature, but these works have been developed independently without much comparison. In this paper, we present an experimental evaluation of three color-spatial retrieval techniques-the signature-based technique, the partition-based algorithm and the cluster-based method. We implemented these techniques and compare them on their retrieval effectiveness and retrieval efficiency. The experimental study is performed on an image database consisting of 12,000 images. With the proliferation of image retrieval mechanisms and the lack of extensive performance study, the experimental results can serve as guidelines in selecting a suitable technique and designing a new technique.|
|Source Title:||Multimedia Tools and Applications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 14, 2018
WEB OF SCIENCETM
checked on Jul 30, 2018
checked on Aug 10, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.