Video classification using deep neural network

Dnr:

SNIC 2017/3-18

Type:

SNAC Small

Principal Investigator:

Michael Rännar

Affiliation:

Umeå universitet

Start Date:

2017-02-08

End Date:

2018-03-01

Primary Classification:

10201: Datavetenskap (= Datalogi)

Webpage:

Allocation

Abstract

The work will focus on the scalability of neural networks used for video classification with regard to training time, size and performance when the number of categories is increased. It is a Master Thesis.