Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
In this paper we present a novel video coding scheme to compress stereo video sequences. We consider a wireless sensor network scenario, where the sensing nodes cannot communicate...
Marco Tagliasacchi, Giorgio Prandi, Stefano Tubaro
H.264 is the current state-of-the-art monoscopic video codec providing almost twice the coding efficiency with the same quality comparing the previous codecs. With the increasing ...
Video coding techniques yielding state-of-the-art compression performance require large amount of computational resources, hence practical implementations, which target a broad ma...
Fabio Verdicchio, Yiannis Andreopoulos, Tom Clerck...
In general, motion compensated (MC) deinterlacing algorithms can outperform non-MC (NMC) ones. However, we often prefer to choose the latter due to the considerations of error prop...