SeeForMe on TechCrunch Real-time Wearable Computer Vision System

SeeForMe. Wearable Computer Vision System

Our demo paper “Real-time Wearable Computer Vision System for Improved Museum Experience” at ACM Multimedia 2016 was reported on TechCrunch as worth highlighting!

Read the paper!

SeeForMe is a mobile application which runs on a mobile wearable device and perform real-time object classification and artwork recognition using a wearable device. SeeForMe improves user experience during a museum visit by providing contextual information and performing user profiling.

In the demo paper we propose the use of a compact CNN network that performs object classification and artwork localization and, using the same CNN features, we perform a robust artwork recognition.

Shape based filtering, artwork tracking and temporal filtering further improve recognition accuracy.

Alberto Del Bimbo at AI DIVE 2018

AI DIVE 2018 Conference

Alberto Del Bimbo speaker on AI

CBMI 2017

CBMI 2017 19-21 june 2017
Firenze, Italy

Prof Tat-Seng Chua

Modelling of Micro Videos for Visual Analytics

Lecture by Prof. Tat-Seng Chuat at MICC