This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
This paper proposes a novel joint source-channel coding (JSCC) methodology which minimizes the end-to-end distortion for the transmission over packet loss channels of scalable vide...
Maryse R. Stoufs, Adrian Munteanu, Jan Cornelis, P...
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
The repeated pattern of I, P and B frames in an MPEG stream is known as the Group of Pictures (GOP). Current GOP choices are made using intuition and informal guidelines without t...
This paper presents a new routing strategy, that selects the best network paths in an overlay network, in order to minimize the distortion perceived by the end user. We first pro...