This paper presents an automatic orientation detection and categorization technique that is capable of detecting the orientation of multilingual documents with arbitrary skew and ...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
With the rapid explosion of video data, compact representation of videos is becoming more and more desirable for efficient browsing and communication, which leads to a number of r...
This demonstration presents an efficient home video browsing system from a novel viewpoint – capture intention. We extend our previous work to build up a comprehensive scheme to...
In this paper, we present a novel view to home video content analysis, which aims at tracking the capture intention of camcorder users. Based on the study of intention mechanism i...