This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Existing retrieval models generally do not offer any guarantee for optimal retrieval performance. Indeed, it is even difficult, if not impossible, to predict a model’s empirica...
Due to high computational complexity and quality degradation introduced by conventional frame-skipping transcoders, a DCT-based video frame-skipping transcoder is proposed recentl...
Image based rendering (IBR) consists of several steps: (i) Calibration (or ego-motion computation) of all input images. (ii) Determination of regions in the input images used to s...
This paper describes an experimental alerting system under development by the Australian Bureau of Meteorology, initially targetted at (but not restricted to) the aviation sector....
Ian D. Mathieson, Sandy Dance, Lin Padgham, Malcol...