Paper Info
Title
A hierarchical, multi-resolution method for dictionary-driven content-based image retrieval
Abstract
A new methodology of image and keyframe retrieval for image and video databases is presented. In contrast to previous approaches, which only support similarity retrieval and direct image manipulation on-line, our system performs tagging off-line using neural network algorithm and answers query on-line using only the tags. This new method is more appealing in meeting user's needs than only emphasizing what current technology can offer. Experiments on our CAETI (Computer Assisted Education & Training Initiative) IML (Internet Multimedia Library) show that this model gives high quality query results with fast on-line performance. This visual search system is available at http:/www.videolib.princeton.edu/test/retrieve
Year
DOI
Venue
1997
10.1109/ICIP.1997.638623
Image Processing, 1997. Proceedings., International Conference
Keywords
Field
DocType
image processing,neural nets,visual databases,CAETI,IML,Internet Multimedia Library,dictionary-driven content-based image retrieval,direct image manipulation on-line,fast on-line performance,hierarchical multi-resolution method,high quality query results,image databases,keyframe retrieval,neural network algorithm,similarity retrieval,tagging,video databases,visual search system
Computer vision,Automatic image annotation,Human–computer information retrieval,Information retrieval,Query expansion,Computer science,Image processing,Image retrieval,Artificial intelligence,Content-based image retrieval,Visual Word,The Internet
Conference
Volume
ISBN
Citations 
2
0-8186-8183-7
3
PageRank 
References 
Authors
0.50
4
2
Name
Order
Citations
PageRank
Hong Heather Yu1657.68
wayne wolf278269.61