Robust Face Recognition for Data Mining

Robust Face Recognition for Data Mining

Author: 
Lovell, Brian C.
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2008
Responsibility: 
Chen, Shaokang, jt.author
Shan, Ting, jt.author
Editor: 
Wang, John
Journal Title: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Source: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Subject: 
Abstract: 

While the technology for mining text documents in large databases could be said to be relatively mature, the same cannot be said for mining other important data types such as speech, music, images and video. Multimedia data mining attracts considerable attention from researchers, but multimedia data mining is still at the experimental stage (Hsu, Lee & Zhang, 2002). Nowadays, the most effective way to search multimedia archives is to search the metadata of the archive, which are normally labeled manually by humans. This is already uneconomic or, in an increasing number of application areas, quite impossible because these data are being collected much faster than any group of humans could meaningfully label them — and the pace is accelerating, forming a veritable explosion of non-text data. Some driver applications are emerging from heightened security demands in the 21st century, postproduction of digital interactive television, and the recent deployment of a planetary sensor network overlaid on the internet backbone.

CITATION: Lovell, Brian C.. Robust Face Recognition for Data Mining edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/frrobust-face-recognition-data-mining