Title :
Information selective image retrieval
Author :
Qiu, Guoping ; Yang, Mai ; Huang, Jiwu
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Univ. of Nottingham, Nottingham, UK
fDate :
Nov. 30 2005-Dec. 1 2005
Abstract :
In this paper, we introduce an information theoretic concept to image retrieval by first developing a novel method to compute the amount of information contained in image parts, and then using the informative-ness of the image parts to develop a flexible information selective image retrieval (ISIR) technology. We present experimental results which show that the new method is effective and is especially useful for retrieving similar objects from a variety of different backgrounds.
Keywords :
image retrieval; information retrieval; information selective image retrieval; information theoretic concept;
Conference_Titel :
Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099)
Conference_Location :
London
Print_ISBN :
0-86341-595-4
