Title :
Web image mining: can we gather visual knowledge for image recognition from the Web?
Author_Institution :
Dept. of Comput. Sci., Univ. of Electro-Commun., Tokyo, Japan
Abstract :
Because of the wide spread of digital imaging devices and the World Wide Web, we can easily obtain digital images of various kinds of real world scenes. Currently, however, classification/recognition of generic real world images is far from practical due to a diversity of real world scenes. To deal with such diversity, we have proposed gathering real world images from the World-Wide Web and using them as training images for image classification. We call this research project "Web image mining". Web images are as diverse as real world scene, since Web images are taken by a large number of people for various kinds of purpose. It is expected that diverse training images enable us to classify/recognition diverse real world images. In this paper, we describe our ongoing project, "Web image mining for generic image recognition".
Keywords :
Internet; data mining; image classification; visual databases; Web image mining; World Wide Web; digital imaging devices; image classification; image recognition; visual knowledge; Computer science; Digital cameras; Digital images; Image classification; Image databases; Image recognition; Joining processes; Layout; Software libraries; Web sites;
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
DOI :
10.1109/ICICS.2003.1292440
