Please use this identifier to cite or link to this item:
|Title:||Image retrieval based on color features: an evaluation study|
|Authors:||Zhang, HongJiang |
Low, Chien Y.
Smoliar, Stephen W.
|Source:||Zhang, HongJiang,Gong, Yihong,Low, Chien Y.,Smoliar, Stephen W. (1995). Image retrieval based on color features: an evaluation study. Proceedings of SPIE - The International Society for Optical Engineering 2606 : 212-220. ScholarBank@NUS Repository.|
|Abstract:||This paper presents an experimental evaluation of different image content representations, all of which are based on the use of color histograms to support indexing and searching schemes. We investigate the use of different color resolutions, restriction to dominant colors, and matching based on both global and local histograms. We also examine how suitable numerical index keys may be designed to support retrieval, and we assess the use of Self-Organizing Maps to guide structuring a database of images. All of our results are based on experimental studies, and our conclusions should lead to useful guidelines for developing image indexing and retrieval systems based on visual content.|
|Source Title:||Proceedings of SPIE - The International Society for Optical Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.