About Segmentation Step in Content-based Image Retrieval Systems

被引:0
作者
Da Rugna, Jerome [1 ]
Chareyron, Gael [1 ]
Konik, Hubert [2 ]
机构
[1] ESILV, Lab GRID SILV, Paris, France
[2] Univ St Etienne, Lab Hubert Curien, St Etienne, France
来源
WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2011, VOL I | 2011年
关键词
Content-based image retrieval; segmentation; evaluation; COLOR; INFORMATION; ALGORITHMS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Despite of the hope arised a few years ago, Content Based Image Retrieval - CBIR - systems has not reached the initial goal, ie to manage and search images in database: we are unable to link the semantic sens of an image to numerical values. However, some members of the community have begun the necessary introspection. The analyze of each step of the feature extraction will allow us to overcome actual problematics and to take the right path in the future. In this context, we propose in this paper to discuss about a low-level tool frequently used: the segmentation step. In the general context of scene images, we evaluate the stability of some classical algorithms using a basic protocol. The quite inefficiency of all approaches let us conclude to the necessity to use meta-data and any other collected informations during this first segmentation step.
引用
收藏
页码:550 / 554
页数:5
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