A weighted string pattern matching-based passage ranking algorithm for video question answering
Expert Systems with Applications: An International Journal
BVideoQA: Online English-Chinese bilingual video question answering
Journal of the American Society for Information Science and Technology
From text question-answering to multimedia QA on web-scale media resources
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Exploring large scale data for multimedia QA: an initial study
Proceedings of the ACM International Conference on Image and Video Retrieval
Multimedia answering: enriching text QA with media information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A new passage ranking algorithm for video question answering
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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Multi-Language information retrieval promotes users to browse documents in the form of their mother language, and more and more peoples interested in retrieves short answers rather than a full document. In this paper, we present a cross-language video QA system i.e. CLVQ, which could process the English questions, and find answers in Chinese videos. The main contribution of this research are: (1) the application of QA technology into different media; and (2) adopt a new answer finding approach without human-made rules; (3) the combination of several techniques of passage retrieval algorithms. The experimental result shows 56% of answer finding. The testing collection was consists of six Discovery movies, and questions are from the School of Discovery web site.