In this paper, a multi-class classification system is developed for medical images. We have mainly explored ways to use different image features, and compared two classifiers: Pri...
TURED ABSTRACT Detection of shot boundary plays important roles in many video applications. Herein, a novel method on shot boundary detection from compressed video is proposed. Fir...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
We present an Audio-visual person authentication system which extracts several novel "VisualizedSpeech-Features" (VSF) from the spoken-password and multiple face profile...