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Graphic-based concept retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 8127 LNCS 460-468
DOI: 10.1007/978-3-642-40511-2_33
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Abstract

Two ways of expressing concepts in the context of image retrieval are presented. One, Keypics, is on the side of an image owner, who wants the image itself to be found on the Web; the second, Trittico, is on the side of the image searcher. Both are based on the paradigm of human intermediation for overcoming the semantic gap. Both require tools capable of qualitative analysis, and have been experimented by using persistent homology. © 2013 IFIP International Federation for Information Processing.

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Ferri, M. (2013). Graphic-based concept retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8127 LNCS, pp. 460–468). https://doi.org/10.1007/978-3-642-40511-2_33

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