A novel unsupervised strategy for content-based image retrieval is presented. It is based on a meaningful segmentation procedure that can provide proper distributions for matching via the earth mover's distance as a similarity metric. The segmentation procedure is based on a hierarchical watershed-driven algorithm that extracts meaningful regions automatically. In this framework, the proposed robust feature extraction and the many-to-many region matching along with the novel region weighting for enhancing feature discrimination play a major role. Experimental results demonstrate the performance of the proposed strategy.
Pratikakis, I, Vanhamel, I, Sahli, H, Efraimidis, Z, Gatos, B & Perantonis, S 2004, 'Unsupervised region-based image retrieval', IEE European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, pp. 39-46. <http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1633698&queryText%3DUnsupervised+region-based+image+retrieval%26openedRefinements%3D*%26searchField%3DSearch+All>
Pratikakis, I., Vanhamel, I., Sahli, H., Efraimidis, Z., Gatos, B., & Perantonis, S. (2004). Unsupervised region-based image retrieval. IEE European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, 39-46. http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1633698&queryText%3DUnsupervised+region-based+image+retrieval%26openedRefinements%3D*%26searchField%3DSearch+All
@article{f312b00fc7d642e5a1a0192398691468,
title = "Unsupervised region-based image retrieval",
abstract = "A novel unsupervised strategy for content-based image retrieval is presented. It is based on a meaningful segmentation procedure that can provide proper distributions for matching via the earth mover's distance as a similarity metric. The segmentation procedure is based on a hierarchical watershed-driven algorithm that extracts meaningful regions automatically. In this framework, the proposed robust feature extraction and the many-to-many region matching along with the novel region weighting for enhancing feature discrimination play a major role. Experimental results demonstrate the performance of the proposed strategy.",
author = "Ioanis Pratikakis and Iris Vanhamel and Hichem Sahli and Z. Efraimidis and Basilios Gatos and Stavros Perantonis",
note = "IEE European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, pp. 39-46, London, UK.; Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
year = "2004",
language = "English",
pages = "39--46",
journal = "IEE European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies",
issn = "1350-245X",
publisher = "Institute of Electrical Engineers",
}