Object-based semi-automatic tool for content retrieval

被引：0
|
作者：
Ghanbari, S. [1 ]
Woods, J. C. [1 ]
Lucas, S. M. [1 ]
机构：
[1] Univ Essex, Sch Elect Engn & Comp Sci, Colchester CO4 3SQ, Essex, England
来源：
ELECTRONICS LETTERS | 2010年 / 46卷 / 01期
关键词：
BINARY PARTITION TREE; SEGMENTATION;
D O I：
10.1049/el.2010.2114
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The essence of a content-based retrieval system is to find images that are semantically related to the user's query from a database. Humans are much better than computers at extracting semantic information from images, being able to segment individual objects subconsciously. The availability of a pool of pre-segmented objects found using region analysis allows the human behaviour to be replicated. A semi-automatic tool for a region-based image retrieval system is presented.
引用
收藏
页码：44 / 45
页数：2
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