TY - GEN
T1 - Multilingual video indexing and retrieval employing an information extraction tool for Turkish news texts
T2 - 9th International Conference on Flexible Query Answering Systems, FQAS 2011
AU - Küçük, Dilek
AU - Yazici, Adnan
PY - 2011
Y1 - 2011
N2 - In this paper, a multilingual video indexing and retrieval system is proposed which relies on an information extraction tool, a hybrid named entity recognizer, for Turkish to determine the semantic annotations for the considered videos. The system is executed on a set of news videos in English and encompasses several other components including an automatic speech recognition system for English, an English-to-Turkish machine translation system, a news video database, and a semantic video retrieval interface. The performance evaluation demonstrates that the system components achieve promising results which provides evidence for the applicability of the system. The proposed system and its application on the video set are significant as they constitute a plausible case study targeting at the problem of multilingual video indexing and retrieval utilizing information extraction as the central technique for semantic video indexing.
AB - In this paper, a multilingual video indexing and retrieval system is proposed which relies on an information extraction tool, a hybrid named entity recognizer, for Turkish to determine the semantic annotations for the considered videos. The system is executed on a set of news videos in English and encompasses several other components including an automatic speech recognition system for English, an English-to-Turkish machine translation system, a news video database, and a semantic video retrieval interface. The performance evaluation demonstrates that the system components achieve promising results which provides evidence for the applicability of the system. The proposed system and its application on the video set are significant as they constitute a plausible case study targeting at the problem of multilingual video indexing and retrieval utilizing information extraction as the central technique for semantic video indexing.
UR - https://www.scopus.com/pages/publications/81855180909
UR - https://www.scopus.com/pages/publications/81855180909#tab=citedBy
U2 - 10.1007/978-3-642-24764-4_12
DO - 10.1007/978-3-642-24764-4_12
M3 - Conference contribution
AN - SCOPUS:81855180909
SN - 9783642247637
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 128
EP - 136
BT - Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings
Y2 - 26 October 2011 through 28 October 2011
ER -