A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments
Abstract
We present a new method for image retrieval by shape similarity able to deal with real images with not uniform background and possible touching/occluding objects. First of all we perform a sketch-driven segmentation of the scene by means of a Deformation Tolerant version of the Generalized Hough Transform (DTGHT). Using the DT-G11T we select in the image some candidate segments to be matched with the user sketch. The candidate segments are then matched with the sketch checking the consistency of the corresponding shapes. 1 Motivations and Goals In this paper we present a new method for Content Based
Cite
Text
Anelli et al. "A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Anelli et al. "A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/anelli2003ijcai-new/)BibTeX
@inproceedings{anelli2003ijcai-new,
title = {{A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments}},
author = {Anelli, Marco and Micarelli, Alessandro and Sangineto, Enver},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {1551-1552},
url = {https://mlanthology.org/ijcai/2003/anelli2003ijcai-new/}
}