We present The Social Picture, a framework to collect and explore huge amount of crowdsourced social images about public events, cultural heritage sites and other customized private events.The Social Picture aims to create social com- munities of users that contribute to the creation of image collections about common interests. The collections can be explored through a number of advanced Computer Vision and Machine Learning algorithms, able to capture the visual content of images in order to organize them in a semantic way. The interfaces of The Social Picture allow the users to create customized collections by exploiting semantic filters based on visual features, social network tags, geolocation, and other information related to the images.
The social picture
BATTIATO, SEBASTIANO;FARINELLA, GIOVANNI MARIA;ORTIS, ALESSANDRO;
2016-01-01
Abstract
We present The Social Picture, a framework to collect and explore huge amount of crowdsourced social images about public events, cultural heritage sites and other customized private events.The Social Picture aims to create social com- munities of users that contribute to the creation of image collections about common interests. The collections can be explored through a number of advanced Computer Vision and Machine Learning algorithms, able to capture the visual content of images in order to organize them in a semantic way. The interfaces of The Social Picture allow the users to create customized collections by exploiting semantic filters based on visual features, social network tags, geolocation, and other information related to the images.File | Dimensione | Formato | |
---|---|---|---|
The social picture.pdf
solo gestori archivio
Descrizione: Articolo principale
Tipologia:
Versione Editoriale (PDF)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
7.9 MB
Formato
Adobe PDF
|
7.9 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.