Eurecom at video-TREC 2004: feature extraction task

Souvannavong, Fabrice;Mérialdo, Bernard;Huet, Benoit
TREC 2004, 13th Text Retrieval Conference, NIST, 15-16 November 2004, Gaithersburg, USA

Based on the results of last year worldwide submissions to the feature extraction task, we decide to introduce more features to describe the content of shots. In particular, text and motion features are added to existing visual features. The text is by definition a semantic feature, thus it has its importance in the feature extraction task. The motion is necessary to analyze specific features such as airplane takeoff. Moreover, to take advantage of the progress of classification systems, support vector machines are used to extract semantic features from low-level features. Finally, genetic algorithms are employed to fuse data from the various classifiers and modalities.


Type:
Conference
City:
Gaithersburg
Date:
2004-11-01
Department:
Data Science
Eurecom Ref:
1541
Copyright:
© NIST. Personal use of this material is permitted. The definitive version of this paper was published in TREC 2004, 13th Text Retrieval Conference, NIST, 15-16 November 2004, Gaithersburg, USA and is available at :

PERMALINK : https://www.eurecom.fr/publication/1541