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TsoKaDo: An Image Search Engine Performing Recursive Query Recommendation Based on Visual Information

dc.contributor.authorTsochatzidis, Lazaros T.
dc.contributor.authorKapoutsis, Athanasios Ch.
dc.contributor.authorDourvas, Nikos I.
dc.contributor.authorChatzichristofis, Savvas A.
dc.contributor.authorBoutalis, Yiannis
dc.contributor.authorZagoris, Konstantinos
dc.description.abstractThis paper tackles the problem of the user’s incapability to describe exactly the image that he seeks by introducing an innovative image search engine called TsoKaDo. Until now the traditional web image search was based only on the comparison between metadata of the webpage and the user’s textual description. In the method proposed, images from various search engines are classified based on visual content and new tags are proposed to the user. Recursively, the results get closer to the user’s desire. The aim of this paper is to present a new way of searching, especially in case with less query generality, giving greater weight in visual content rather than in metadata.en_UK
dc.relation.ispartofseriesACHI 2012;The Fifth International Conference on Advances in Computer-Human Interactions, Valencia, Spain, January 30 - February 4, 2012
dc.rightsCopyright (c) IARIA, 2012.en_UK
dc.subjectResearch Subject Categories::TECHNOLOGYen_UK
dc.subjectImage Retrievalen_UK
dc.subjectImage Annotationen_UK
dc.subjectQuery Recommendation Systems.en_UK
dc.titleTsoKaDo: An Image Search Engine Performing Recursive Query Recommendation Based on Visual Informationen_UK
dc.typeWorking Paperen_UK

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Copyright (c) IARIA, 2012.
Except where otherwise noted, this item's license is described as Copyright (c) IARIA, 2012.