Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …

Images can affect people on an emotional level. Since the emotions that arise in the viewer
of an image are highly subjective, they are rarely indexed. However there are situations …

This paper introduces the research field of Image Sentiment Analysis, analyses the related
problems, provides an in-depth overview of current research progress, discusses the major …

Image sentiment analysis aims to employ a computational model to automatically discover
the implied emotions from the underlying image, which are crucial in many practical …

By analyzing the low level features of images only, skin detection in visual data cannot be
solved. To compensate for this major drawback of many approaches, we combine a state of …

We detect and arrange events in private photo archives by putting these photos into context.
The problem is seen as a fully automated mining in one's personal life and behavior without …

This thesis collects all the research work done by the PhD candidate in the Joint Open Lab
for Wireless Applications in multi-deVice Ecosystems (JOL WAVE Catania) of TIM Telecom …

We are addressing the problem of organizing and indexing one's personal media. Recent
approaches of media indexing use events as media aggregators, but do not fully consider …

We study and present two new algorithms for constructing the waterfall hierarchy of a
topographic surface. The first models a topographic surface as a flooding graph, each node …

The recommendation of trending images has become a popular feature used by commercial
search engines to attract public attention. By browsing through trending images, search …