Automatic image cropping techniques are particularly important to improve the visual quality of cropped images and can be applied to a wide range of applications such as photo-editing, image compression, and thumbnail selection. In this paper, we propose a saliency-based image cropping method which produces significant cropped images by only relying on the corresponding saliency maps. Experiments on standard image cropping datasets demonstrate the benefit of the proposed solution with respect to other cropping methods. Moreover, we present an image selection method that can be effectively applied to automatically select the most representative pages of historical manuscripts thus improving the navigation of historical digital libraries.

Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts / Cornia, Marcella; Pini, Stefano; Baraldi, Lorenzo; Cucchiara, Rita. - 806(2018), pp. 169-179. ((Intervento presentato al convegno 14th Italian Research Conference on Digital Libraries, IRCDL 2018 tenutosi a Udine nel January 25-26, 2018 [10.1007/978-3-319-73165-0_17].

Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts

Cornia, Marcella;Pini, Stefano;Baraldi, Lorenzo;Cucchiara, Rita
2018

Abstract

Automatic image cropping techniques are particularly important to improve the visual quality of cropped images and can be applied to a wide range of applications such as photo-editing, image compression, and thumbnail selection. In this paper, we propose a saliency-based image cropping method which produces significant cropped images by only relying on the corresponding saliency maps. Experiments on standard image cropping datasets demonstrate the benefit of the proposed solution with respect to other cropping methods. Moreover, we present an image selection method that can be effectively applied to automatically select the most representative pages of historical manuscripts thus improving the navigation of historical digital libraries.
14th Italian Research Conference on Digital Libraries, IRCDL 2018
Udine
January 25-26, 2018
806
169
179
Cornia, Marcella; Pini, Stefano; Baraldi, Lorenzo; Cucchiara, Rita
Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts / Cornia, Marcella; Pini, Stefano; Baraldi, Lorenzo; Cucchiara, Rita. - 806(2018), pp. 169-179. ((Intervento presentato al convegno 14th Italian Research Conference on Digital Libraries, IRCDL 2018 tenutosi a Udine nel January 25-26, 2018 [10.1007/978-3-319-73165-0_17].
File in questo prodotto:
File Dimensione Formato  
2017_IRCDL.pdf

accesso aperto

Tipologia: Post-print dell'autore (bozza post referaggio)
Dimensione 2.73 MB
Formato Adobe PDF
2.73 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1148420
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 1
social impact