Reliably tracking key points and textured patches from frame to frame is the basic requirement for many bottomup computer vision algorithms. The problem of selecting the features ...
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
This paper proposes the use of feature tracks for the detection of concepts in video, particularly dynamic concepts. Feature tracks are defined as sets of local interest points fo...
Vasileios Mezaris, Anastasios Dimou, Ioannis Kompa...
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have...
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...