We present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such terms. The system uses a wavelet-based approach for feature extraction, a statistical modeling process for training, and a statistical significance processor to annotate images. We implemented and tested our ALIP system on a photographic image database of 600 different concepts, each with about 40 training images. The ALIP system has been used to annotate about 60,000 photographic images. In this demonstration, we illustrate the algorithms in the system and show the annotation results. With distributed computation, the annotation of an image can be provided in real-time.
ALIP: the Automatic Linguistic Indexing of Pictures system
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) ; 2 ; 1208-1209 vol. 2
01.01.2005
125592 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Automatic Classification Video for Person Indexing
IEEE | 2008
|Automatic moving object detection and indexing of surveillance system
British Library Online Contents | 2001
|Semi automatic indexing : state of the art
TIBKAT | 1974
|SnooperText: A text detection system for automatic indexing of urban scenes
British Library Online Contents | 2014
|