ALIP: the Automatic Linguistic Indexing of Pictures system

Author

Li, Jia ; Wang, James Z.

Author_Institution

Pennsylvania State Univ., University Park, PA, USA

Volume

2

fYear

2005

fDate

20-25 June 2005

Firstpage

1208

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-2372-2

Type

conf

DOI

10.1109/CVPR.2005.67

Filename

1467604