Summarization of First Person Videos
The project aim to build visual intellingence algorithms able to get a video acquired with wearable cameras (e.g. Hololens) as input and produce a short video summary as output containing the main objects and context observed by the user. To this aim,modern Computer Vision and Machine Learning algorithms will be employed to detect and recognise automatically the observed objects and scenes.
Image processing, computer vision, machine learning, python/matlab programming.
Tutor: prof. Giovanni Maria Farinella.