Event based news video people classification and ranking using multimodality features

Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to news video people community analysis, which is helpful for users to understand the event. In this paper, we propose a novel approach to classify the people appearing in the news video into different communities. In our approach, the people appearing in the news video are first identified by associating their faces with names. The faces are detected from the video frames, and the names are obtained from the text. Then, the people belonging to the same organization are clustered. After that, the relationships between these organizations are determined using sentiment analysis. The sentiment words are diverse in each news story and contain both positive and negative ones. However, we have news title, which is the summary of the story and the sentiment of which is clear, to help us to mine the relationships betw...

• Type: Journal
• Year: 2010
• Where: ICMCS
• Authors: Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changsheng Xu
• Keywords: Analysis, ICMCS 2010, Multimedia, Sentiment Analysis, Social Network