@inproceedings{665e121511ce42c6a195e154baeb08b4,
title = "SSH: Salient structures histogram for content based image retrieval",
abstract = "Retrieving information accurately from large image collections is a challenging task due to the presence of complex patterns in visual data. High demands for efficient indexing and retrieval mechanisms is a major motivating factor for the extensive research in this area. Visual features of images are extracted and used for indexing, browsing and retrieval. The human visual system has a sensitivity to colors and edge orientations and hence, these features are very effective for representing a piece of visual information. In this paper, salient image structures corresponding to color and edge orientations are represented as a sparse feature matrix. It combines these features with saliency measures into a unified descriptor. The descriptor is tested on a large dataset. Experimental results verify the capability of the descriptor to represent color images with sufficient discrimination that will enable retrieval systems to perform better as compared to other state-of-the-art methods.",
keywords = "Color descriptor, Content-based retrieval, Saliency, Weighted features",
author = "Jamil Ahmad and Muhammad Sajjad and Irfan Mehmood and Baik, {Sung Wook}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 18th International Conference on Network-Based Information Systems, NBiS 2015 ; Conference date: 02-09-2015 Through 04-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/NBiS.2015.36",
language = "English",
series = "Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "212--217",
editor = "Leonard Barolli and Makoto Takizawa and Fatos Xhafa and Hui-Huang Hsu and Tomoya Enokido",
booktitle = "Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015",
}