Media Security

Media Protection Team

Presentation

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Project 16

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Image Popularity Prediction in Social Media Using Sentiment and Context Features

Can visual sentiment and context features help to predict which images will become popular?

Images in social networks share different destinies: some are going to become popular while others are going to be completely unnoticed. In this paper we propose to use visual sentiment features together with three novel context features to predict a concise popularity score of social images. Experiments on large scale datasets show the benefits of the proposed features. We report a qualitative analysis of which sentiments seem to be related to good or poor popularity.

SMARTVINO

Multimedia information on wine through smart-labels

The basic idea of SMARTVINO is to develop a simple application for wine consumers, to let them access a number of detailed information concerning the wine they are enjoying or buying. The consumer has only to catch a photo of the winemaker’s logo on the wine (smart-)label, through his own smartphone, to be linked to a number of customized contents. The Agricultural Holding Montevertine is the partner of the project devoted to the contents analysis and definition for the app.

SMartART

when the images speak of art.

SMartART is an idea winner of @diversity European Competition, presented at the European Culture Forum 2013 in Brussels. A jury of international experts chose 12 winning ideas that could potentially shape the future of the cultural and creative sectors.

SMartART promotes culture, emotional involvement and informal learning in museums using marked icons to retrieve additional information directly from an image without using any type of QRCode.