Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Z...
Abstract. Similarity search in large multimedia databases requires efficient query processing based on suitable similarity models. Similarity models consist of a feature extraction...
This paper describes a feature point matching strategy and motion recovery applied to vehicle navigation. A transformation of the image plane is used that keeps the motion of the v...
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposi...
In this work, musical instrument recognition is considered on solo music from real world performance. A large sound database is used that consists of musical phrases excerpted fro...