TY - GEN
T1 - Text mining support in semantic annotation and indexing of multimedia data
AU - Nemrava, Jan
AU - Sadlier, David
AU - Buitelaar, Paul
AU - Declerck, Thierry
PY - 2008
Y1 - 2008
N2 - This short paper is describing a demonstrator that is complementing the paper "Towards Cross-Media Feature Extraction" in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual data are marked-up with semantic classes derived from an ontology modeling the soccer domain. We show further how extracted Audio-Video features by video analysis can be taken into account for additional annotation of specific soccer event types, and how those different types of annotation can be combined.
AB - This short paper is describing a demonstrator that is complementing the paper "Towards Cross-Media Feature Extraction" in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual data are marked-up with semantic classes derived from an ontology modeling the soccer domain. We show further how extracted Audio-Video features by video analysis can be taken into account for additional annotation of specific soccer event types, and how those different types of annotation can be combined.
UR - https://www.scopus.com/pages/publications/65649154105
M3 - Conference Publication
AN - SCOPUS:65649154105
SN - 9781577353973
T3 - AAAI Fall Symposium - Technical Report
SP - 70
EP - 71
BT - Multimedia Information Extraction - Papers from the AAAI Fall Symposium, Technical Report
PB - American Association for Artificial Intelligence
T2 - 2008 AAAI Fall Symposium
Y2 - 7 November 2008 through 9 November 2008
ER -