Broadcast News Navigator (BNN) Demonstration
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1639-1639.
Abstract
The Broadcast News Navigator (BNN) is a fully implemented system that incorporates image, speech, and language processing together with visualization and user preference modeling to support intelligent, personalized access to broadcast news video. The demonstration will illustrate the use of the system's underlying machine learning enabled story segmentation and processing, called the Broadcast News Editor (BNE). A live, scenario-based demonstration will illustrate the use of named entity search, temporal visualization of entities, story clustering and geospatial story visualization, discovery of entity relations, and personalized multimedia summary generation. By transforming access from sequential to direct search and providing hierarchical hyperlinked summaries, we will demonstrate how users can access topics and entity specific news clusters nearly three times as fast as direct search of digital video. In short, we will demonstrate intelligent news on demand enabled by a suite of AI technologies.
@inproceedings{ijcai2003p288,
title = {Broadcast News Navigator (BNN) Demonstration},
author = {Maybury, Mark T.},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1639--1639},
year = {2003},
url = {https://ijcai.org/proceedings/2003/288},
}
TY - CPAPER TI - Broadcast News Navigator (BNN) Demonstration AU - Maybury, Mark T. T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1639 EP - 1639 UR - https://ijcai.org/proceedings/2003/288 ER -Copied
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