Titolo:  Multimodal-based Diversified Summarization in Social Image Retrieval
Autori: 
Data di pubblicazione:  2015
Autori:  Dang Nguyen, Duc Tien; Boato, G; De Natale F. G., B; Piras, Luca; Giacinto, Giorgio; Tuveri, F; Angioni, M.
Presenza coautori internazionali:  no
Lingua:  Inglese
Titolo del libro:  Proceedings of the MediaEval 2015 Multimedia Benchmark Workshop
Tutti i curatori:  Martha Larson, Bogdan Ionescu, Mats Sjöberg, Xavier Anguera, Johann Poignant, Michael Riegler, Maria Eskevich, Claudia Hauff, Richard Sutcliffe, Gareth J.F. Jones, Yi-Hsuan Yang, Mohammad Soleymani, Symeon Papadopoulos
Volume:  1436
Numero di pagine:  3
Codice identificativo Scopus:  2-s2.0-84989851922
URL:  http://ceur-ws.org/Vol-1436/Paper21.pdf
Revisione (peer review):  Comitato scientifico
Nome del convegno:  MediaEval 2015 Multimedia Benchmark Workshop
Periodo del convegno:  September 14-15, 2015
Luogo del convegno:  Wurzen, Germany
Abstract:  In this paper, we describe our approach and its results for the MediaEval 2015 Retrieving Diverse Social Images task. The main strength of the proposed approach is its flexibility that permits to filter out irrelevant images, and to obtain a reli- able set of diverse and relevant images. This is done by first clustering similar images according to their textual descrip- tions and their visual content, and then extracting images from different clusters according to a measure of user’s cred- ibility. Experimental results shown that it is stable and has little fluctuation in both single-concept and multi-concept queries.
Tipologia: 4.1 Contributo in Atti di convegno

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