HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

Real-Time Video Quality Assessment in Packet Networks: A Neural Network Model

Samir Mohamed 1 Gerardo Rubino 1 Francisco Cervantes 2 Hossam Afifi 3
1 ARMOR - Architectures and network models
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes, Ecole Nationale Supérieure des Télécommunications de Bretagne
Abstract : There is a great demand to assess video quality transmitted in real time over packet networks, and to make this assessment in real time too. Quality assessment is achieved using two types of methods: objective or subjective. Subjective methods give more reliable results than objective methods; the latter do not always correlate well with human perception. Unfortunately, subjective methods are not suitable to real-time applications and are very difficult to carry out. In this paper, we show how Artificial Neural Networks (ANN) can be used to mimic the way by which a group of human subjects assess video quality when this video is distorted by certain quality-affecting parameters (e.g. packet loss rate, loss distribution, bit rate, frame rate, encoded frame type, etc.). Our method can be used to measure in real time the subjective video quality with very good precision. In order to illustrate its applicability, we chose to assess the quality of video flows transmitted over IP networks and we carried out subjective quality tests for video distorted by variations of those parameters.
Document type :
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download

Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Wednesday, May 24, 2006 - 9:57:48 AM
Last modification on : Friday, February 4, 2022 - 3:25:33 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:07:39 PM


  • HAL Id : inria-00072437, version 1


Samir Mohamed, Gerardo Rubino, Francisco Cervantes, Hossam Afifi. Real-Time Video Quality Assessment in Packet Networks: A Neural Network Model. [Research Report] RR-4186, INRIA. 2001. ⟨inria-00072437⟩



Record views


Files downloads