A Robust Passage Retrieval Algorithm for Video Question Answering

In this paper, we present a robust passage retrieval algorithm to extend the conventional text question answering (Q/A) to videos. Users interact with our videoQ/A system through natural language queries, while the top-ranked passage fragments with associated video clips are returned as answers. We compare our method with five of the high-performance ranking algorithms that are portable to different languages and domains. The experiments were evaluated with 75.3 h of Chinese videos and 253 questions. The experimental results showed that our method outperformed the second best retrieval model (language models)

• Type: Journal
• Year: 2008
• Where: TCSV
• Authors: Yu-Chieh Wu, Jie-Chi Yang
• Keywords: Conventional Text Question, Robust Passage Retrieval, TCSV 2008, Top-ranked Passage