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...
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
In this paper, an ontology-driven approach for the semantic analysis of video is proposed. This approach builds on an ontology infrastructure and in particular a multimedia ontolog...
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...