Title :
ALIP: the Automatic Linguistic Indexing of Pictures system
Author :
Li, Jia ; Wang, James Z.
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
Abstract :
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.
Keywords :
content-based retrieval; database indexing; distributed processing; feature extraction; hidden Markov models; image retrieval; learning (artificial intelligence); linguistics; visual databases; wavelet transforms; Automatic Linguistic Indexing of Pictures system; distributed computation; feature extraction; photographic image database; statistical modeling process; statistical significance processor; wavelet-based approach; Data mining; Dictionaries; Distributed computing; Feature extraction; Hidden Markov models; Image databases; Indexing; Scalability; Spatial resolution; System testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.67
