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.

Imaging Novecento

Best Paper Award

Best Paper Award to our paper "Imaging Novecento"

Prof Tat-Seng Chua

Modelling of Micro Videos for Visual Analytics

Lecture by Prof. Tat-Seng Chuat at MICC

CBMI 2017

CBMI 2017 19-21 june 2017
Firenze, Italy

Lamberto Ballan

Sharing Knowledge

for Large Scale Visual Recognition