Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
Efficient view registration with respect to a given 3D reconstruction
has many applications like inside-out tracking
in indoor and outdoor environments, and geo-locating images
...
Arnold Irschara (Graz University of Technology), C...
This paper presents Olympus, a modular processing architecture for a distributed ambient intelligence. The system is aimed at detailed reporting of people wandering and gesturing ...
F. Bertamini, Roberto Brunelli, Oswald Lanz, A. Ro...
Error resilient encoding in video communication is becoming increasingly important due to data transmission over unreliable channels. In this paper, we propose a new power-aware e...
Minyoung Kim, Hyunok Oh, Nikil D. Dutt, Alexandru ...
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely st...