Publication Details
Brno University of Technology at TRECVid 2009
Beran Vítězslav, doc. Ing., Ph.D. (DCGM)
Herout Adam, prof. Ing., Ph.D. (DCGM)
Hradiš Michal, Ing., Ph.D. (DCGM)
Řezníček Ivo, Ing., Ph.D.
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
TRECVid, Search, HLF, NIST
Inthis paper we describe our experiments in High-level featureextraction (HLF) and Search tasks of the 2009 TRECVid evaluation.This year, we have concentrated mainly on the local (affinecovariant) image features and their transformation into a searchableform, especially using the indexing techniques.
In brief, we have submitted thefollowing runs:
-
HLF: We have used training method based on support vector machine (SVM) using five types of global and local image features. Results were submitted in the BRNO_HLF_SI run.
-
Search: We have performed a fully automatic experiment based on the transformed local image features together with face detection and global features - color layout and texture features in the BrnoUT_visual.2 run.
The paper is organized asfollows. In Section 1, a motivation and an overview of the work ispresented. We dedicated Section 2 to the feature extraction task,which is being used in common by the HLF and Search tasks. Details ofthe tasks we have sent are given in Section 3 and Section 4. Finally,Section 5 discusses the achieved results and concludes the paper. Theresult tables are attached at the end of the paper.
@inproceedings{BUT34276,
author="Petr {Chmelař} and Vítězslav {Beran} and Adam {Herout} and Michal {Hradiš} and Ivo {Řezníček} and Pavel {Zemčík}",
title="Brno University of Technology at TRECVid 2009",
booktitle="TRECVID 2009: Participant Notebook Papers and Slides",
year="2009",
pages="1--11",
publisher="National Institute of Standards and Technology",
address="Gaithersburg, MD"
}