Title :
Towards developing a unified multimodal image retrieval framework
Author :
Zhang, Zhongfei Mark ; Guo, Zhen ; Zhang, Ruofei
Author_Institution :
SUNY Binghamton, Binghamton, NY, USA
fDate :
June 28 2009-July 3 2009
Abstract :
Built upon the previous work on automatic image annotation and multimodal image retrieval, in this paper we present a unified multimodal image retrieval framework, called UPMIR. The contributions of this paper include: (1) the development of the UPMIR framework; and (2) extensive evaluations of UPMIR including evaluations against a state-of-the-art image retrieval system in a large scale, visually and semantically diverse database crawled from the Web to demonstrate that UPMIR not only has more effective and efficient retrieval performance, but also facilitates more enhanced retrieval modalities.
Keywords :
image retrieval; visual databases; UPMIR framework; semantically diverse database; unified multimodal image retrieval; visual database; Image databases; Image retrieval; Information retrieval; Large-scale systems; Spatial databases; Testing; Text processing; Visual databases; Vocabulary; Web search; Multimodal Image Retrieval; UPMIR;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202838