Toward Multimedia: A String Pattern-Based Passage Ranking Model for Video Question Answering

@inproceedings{Wu2007TowardMA,
  title={Toward Multimedia: A String Pattern-Based Passage Ranking Model for Video Question Answering},
  author={Yu-Chieh Wu and Jie-Chi Yang},
  booktitle={HLT-NAACL},
  year={2007}
}
In this paper, we present a new string pattern matching-based passage ranking algorithm for extending traditional textbased QA toward videoQA. Users interact with our videoQA system through natural language questions, while our system returns passage fragments with corresponding video clips as answers. We collect 75.6 hours videos and 253 Chinese questions for evaluation. The experimental results showed that our method outperformed six top-performed ranking models. It is 10.16% better than the… CONTINUE READING

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Key Quantitative Results

  • Besides, we also show that the use of a trained Chinese word segmentation tool did decrease the overall videoQA performance where most ranking algorithms dropped at least 10% in relatively MRR, precision, and answer pattern recall rates.

Citations

Publications citing this paper.
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BVideoQA: Online English/Chinese bilingual video question answering

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A Robust Passage Retrieval Algorithm for Video Question Answering

  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2008
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