We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
As the use of applications employing video contents becomes widespread, it is crucial for representation systems to be able to handle video effectively and flexibly. In this pape...
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
This paper proposes a hash function family based on feature vocabularies and investigates the application in building indexes for image search. Each hash function is associated wi...