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 reliable set of diverse and relevant images. This is done by first clustering similar images according to their textual descriptions and their visual content, and then extracting images from different clusters according to a measure of user’s credibility. Experimental results shown that it is stable and has little fluctuation in both single-concept and multi-concept queries.

Multimodal-based Diversified Summarization in Social Image Retrieval / Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco; Piras, Luca; Giacinco, Giorgio; Tuveri, Franco; Angioni, Manuela. - 1436:(2015), pp. [1]-[3]. (Intervento presentato al convegno MediaEval 2015 tenutosi a Wurzen nel 14-15, September 2015).

Multimodal-based Diversified Summarization in Social Image Retrieval

Dang Nguyen, Duc Tien;Boato, Giulia;De Natale, Francesco;
2015-01-01

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 reliable set of diverse and relevant images. This is done by first clustering similar images according to their textual descriptions and their visual content, and then extracting images from different clusters according to a measure of user’s credibility. Experimental results shown that it is stable and has little fluctuation in both single-concept and multi-concept queries.
2015
MediaEval 2015
. Aachen
CEUR-WS
Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco; Piras, Luca; Giacinco, Giorgio; Tuveri, Franco; Angioni, Manuela
Multimodal-based Diversified Summarization in Social Image Retrieval / Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco; Piras, Luca; Giacinco, Giorgio; Tuveri, Franco; Angioni, Manuela. - 1436:(2015), pp. [1]-[3]. (Intervento presentato al convegno MediaEval 2015 tenutosi a Wurzen nel 14-15, September 2015).
File in questo prodotto:
File Dimensione Formato  
Paper21.pdf

accesso aperto

Descrizione: articolo
Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 755.79 kB
Formato Adobe PDF
755.79 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/121883
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact