A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1551-1551.
Abstract
We present a new method for image retrieval by shape similarity able to deal with real images with not uniform background and possible touchin g/ 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 DTG HT 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.
@inproceedings{ijcai2003p268,
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 = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1551--1551},
year = {2003},
url = {https://ijcai.org/proceedings/2003/268},
}
TY - CPAPER TI - A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments AU - Anelli, Marco AU - Micarelli, Alessandro AU - Sangineto, Enver T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1551 EP - 1551 UR - https://ijcai.org/proceedings/2003/268 ER -Copied
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