Naming People in News Videos with Label Propagation

Partial label learning (PLL) is a weakly supervised learning method that is able to predict one label as the correct answer from a given candidate label set. In PLL, when all possible candidate labels are as signed to real-world training examples, ...

In this paper, we focus on the problem of automated video annotation. We report on the application of naming faces in soap series by using the weak supervision of narrative texts that describe the events in the video and that are drafted by fans. ...

The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in automatic semantic annotation of large-scale video database. Semi-supervised learning algorithms, which attempt to learn from both ...