ALIP: The Automatic Linguistic Indexing of Pictures System
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.
Cite
Text
Li and Wang. "ALIP: The Automatic Linguistic Indexing of Pictures System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.67Markdown
[Li and Wang. "ALIP: The Automatic Linguistic Indexing of Pictures System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/li2005cvpr-alip/) doi:10.1109/CVPR.2005.67BibTeX
@inproceedings{li2005cvpr-alip,
title = {{ALIP: The Automatic Linguistic Indexing of Pictures System}},
author = {Li, Jia and Wang, James Ze},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2005},
pages = {1208-1209},
doi = {10.1109/CVPR.2005.67},
url = {https://mlanthology.org/cvpr/2005/li2005cvpr-alip/}
}