A Low Missing Rate Audio Search Technique for Cantonese Radio Broadcast Recording
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
Design and implement a web news retrieval system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Development of an intelligent distributed news retrieval system
International Journal of Knowledge-based and Intelligent Engineering Systems
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The paper describes a system which can automatically classify TV news articles using a keyword spotting technique and can also answer queries from users interactively. The keyword spotting technique can extract a keyword sequence with their probabilities and the extracted keywords are attached to the article for retrieval. The TV news article can be classified into topics such as politics, economy, science and so on by integrating acoustic keyword probability and topic contribution probability of the keyword, which is the probability of how a keyword contributes to classify the article. TV news is retrieved by speech including the keywords attached to the articles. The system is also installed with a query-answering function that can answer user queries of unfamiliar words included in TV news speech.