Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images

Iqbal, Qasim; Aggarwal, Jake K.

doi:10.1109/CVPR.1999.786915

Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images

Qasim Iqbal, Jake K. Aggarwal

CVPR 1999 pp. 1042-1048

doi:10.1109/CVPR.1999.786915 /cvpr/1999/iqbal1999cvpr-applying/

Abstract

This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented. The image database consists of monocular grayscale outdoor images taken from a ground-level camera.

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Cite

Text

Iqbal and Aggarwal. "Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.786915

Markdown

[Iqbal and Aggarwal. "Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/iqbal1999cvpr-applying/) doi:10.1109/CVPR.1999.786915

BibTeX

@inproceedings{iqbal1999cvpr-applying,
  title     = {{Applying Perceptual Grouping to Content-Based Image Retrieval: Building Images}},
  author    = {Iqbal, Qasim and Aggarwal, Jake K.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {1042-1048},
  doi       = {10.1109/CVPR.1999.786915},
  url       = {https://mlanthology.org/cvpr/1999/iqbal1999cvpr-applying/}
}