This paper presents a novel shot segmentation algorithm on the H.264/AVC video, which operates in the compressed domain. First, the algorithm exploits the intra prediction mode hi...
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
Segmentation of 3D human body is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approach based on...
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...
The analysis of audio signals of popular and rock songs of the versechorus form to reconstruct its original musical structures is investigated in this work. We first compute the ...