Intelligent Multimedia Indexing and Retrieval Through Multi-Source Information Extraction and Merging
Abstract
This paper reports work on automated meta-data creation for multimedia content. The approach results in the generation of a conceptual index of the content which may then be searched via semantic categories instead of keywords. The novelty of the work is to exploit multiple sources of information relating to video content (in this case the rich range of sources covering important sports events). News, commentaries and web reports covering international football games in multiple languages and multiple modalities is analysed and the resultant data merged. This merging process leads to increased accuracy relative to individual sources.
Cite
Text
Kuper et al. "Intelligent Multimedia Indexing and Retrieval Through Multi-Source Information Extraction and Merging." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Kuper et al. "Intelligent Multimedia Indexing and Retrieval Through Multi-Source Information Extraction and Merging." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/kuper2003ijcai-intelligent/)BibTeX
@inproceedings{kuper2003ijcai-intelligent,
title = {{Intelligent Multimedia Indexing and Retrieval Through Multi-Source Information Extraction and Merging}},
author = {Kuper, Jan and Saggion, Horacio and Cunningham, Hamish and Declerck, Thierry and de Jong, Franciska and Reidsma, Dennis and Wilks, Yorick and Wittenburg, Peter},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {409-414},
url = {https://mlanthology.org/ijcai/2003/kuper2003ijcai-intelligent/}
}