Using location information from speech recognition of television news broadcasts Export

@inproceedings{citeulike:3766159, abstract = {extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted \&\#039;metadata \&\#039; enables users to rapidly find interesting news stories and to quickly identify whether a retrieved TV news story is indeed relevant to their query. Through the extraction of named entity information from broadcast news we can determine what people, organizations, dates, times and monetary amounts are mentioned in the broadcast. With respect to location data, we have been able to use location analysis derived from the speech transcripts to allow the user to visually follow the action in the news story on a map and also allow queries for news stories by graphically selecting a region on the map.}, author = {Hauptmann, Er G. and Olligschlaeger, Andreas M.}, booktitle = {Proceedings of the ESCA ETRW Workshop on Accessing Information in Spoken Audio}, citeulike-article-id = {3766159}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.5676}, keywords = {ir, place-names, speech}, pages = {102--106}, posted-at = {2008-12-10 00:08:09}, priority = {2}, title = {Using location information from speech recognition of television news broadcasts}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.5676}, year = {1999} }

TY - CONF ID - citeulike:3766159 L3 - citeulike-article-id:3766159 N2 - extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted 'metadata ' enables users to rapidly find interesting news stories and to quickly identify whether a retrieved TV news story is indeed relevant to their query. Through the extraction of named entity information from broadcast news we can determine what people, organizations, dates, times and monetary amounts are mentioned in the broadcast. With respect to location data, we have been able to use location analysis derived from the speech transcripts to allow the user to visually follow the action in the news story on a map and also allow queries for news stories by graphically selecting a region on the map. EP - 106 TI - Using location information from speech recognition of television news broadcasts T2 - Proceedings of the ESCA ETRW Workshop on Accessing Information in Spoken Audio SP - 102 KW - ir KW - place-names KW - speech AU - Hauptmann, Er AU - Olligschlaeger, Andreas PY - 1999/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.5676 ER -