Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/18392
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dc.contributor.authorManzoor, Sadia-
dc.date.accessioned2021-08-05T19:44:29Z-
dc.date.available2021-08-05T19:44:29Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/123456789/18392-
dc.description.abstractSearch engines like Google, Bing, Flicker, etc., usually display image search results via 2D grid presentations which allow the user horizontal and vertical scanning of image results but not in depth browsing. When thousands of images are retrieved, then horizontal and vertical scanning process can be tedious. I-Cuboid, an online web based tool provides an interactive exploration of image search results by arranging and displaying them in a cubic presentation. Cubic presentation allows horizontal, vertical and in-depth browsing of image results. I-Cuboid tool uses two image ranking methodologies, one is Flicker’s own “sort as relevance” attribute and the other is by using meta-data along with images in Jaccard Index formula. Usability evaluation of I-Cuboid tool is done with eighteen real users and SUS and QUIS questionnaires are used as intruments.en_US
dc.language.isoenen_US
dc.publisherQuaid-i-Azam Universityen_US
dc.subjectComputer Sciencesen_US
dc.titleI-CUBOID: An Online Tool to Explore Web Image Search Resultsen_US
dc.typeThesisen_US
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