7 search results - page 1 / 2 » An online-optimized incremental learning framework for video... |
MM
2004
ACM
13 years 9 months ago
2004
ACM
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
MIR
2005
ACM
13 years 10 months ago
2005
ACM
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...
ASC
2008
13 years 4 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
MIR
2005
ACM
13 years 10 months ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
MTA
2007
13 years 3 months ago
2007
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...