Demo of the SICOS tool for social image cluster-based organization and search

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dc.contributor.author Tekli, Joe
dc.contributor.author Ayoub, Issa
dc.contributor.author Codouni, Karl J.
dc.date.accessioned 2017-07-05T09:06:48Z
dc.date.available 2017-07-05T09:06:48Z
dc.date.issued 2017-07-05
dc.identifier.isbn 978-1-5090-5281-3 en_US
dc.identifier.uri http://hdl.handle.net/10725/5877
dc.description.abstract This paper briefly describes and evaluates SICOS, a tool for Social Image Cluster-based Organization and Search, allowing to group together images sharing similar semantic and visual features, to simplify their organization and querying following user preferences. The system consists of modular components for: i) feature extraction and representation (low-level and high-level), ii) partitional image clustering (initial clustering phase executed when the user first connects to the system), iii) incremental clustering (updating clusters produces in the previous phase by processing newly published images), iv) fast image querying (using features of cluster representatives), and v) personalized images and search results visualization (using various user-chosen cluster display techniques). Experiments highlight the efficiency of the tool. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title Demo of the SICOS tool for social image cluster-based organization and search en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 201306321 en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.keywords Feature extraction en_US
dc.keywords Image color analysis en_US
dc.keywords Organizations en_US
dc.keywords Clustering algorithms en_US
dc.keywords Visualization en_US
dc.keywords Algorithm design and analysis en_US
dc.keywords Facebook en_US
dc.identifier.doi http://dx.doi.org/10.1109/IMCET.2016.7777452 en_US
dc.identifier.ctation Ayoub, I., Codouni, K. J., & Tekli, J. (2016, November). Demo of the SICOS tool for Social Image Cluster-based Organization and Search. In Multidisciplinary Conference on Engineering Technology (IMCET), IEEE International (pp. 202-206). IEEE. en_US
dc.author.email joe.tekli@lau.edu.lb en_US
dc.conference.date 2-4 Nov. 2016 en_US
dc.conference.place Beirut, Lebanon en_US
dc.conference.title IEEE International Multidisciplinary Conference on Engineering Technology en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/7777452/ en_US
dc.author.affiliation Lebanese American University en_US

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