News story segmentation based on contextual information

To effectively retrieve and manage news video archive, a news video story segmentation method based on contextual information was proposed. Firstly, news video shot sequence was transformed into corresponding keyword sequences by using multimodality information, such as caption changing, audio type, and video shot category. And then news video was partitioned into stories with a powerful sequence segmentation model, conditional random fields. The algorithm was applied to multiple test videos, and the test results prove the effectiveness of the method, achieving a better performance with recall of 72.9% and precision of 88.4%.