Publication Details
Brno University of Technology at TRECVid 2009
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT)
Řezníček Ivo, Ing. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
TRECVid, Search, HLF, NIST
In this paper we describe our experiments in High-level feature extraction (HLF) and Search tasks of the 2009 TRECVid evaluation. This year, we have concentrated mainly on the local (affine covariant) image features and their transformation into a searchable form, especially using the indexing techniques.
In brief, we have submitted the following runs:
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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.
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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 as follows. In Section 1, a motivation and an overview of the work is presented. We dedicated Section 2 to the feature extraction task, which is being used in common by the HLF and Search tasks. Details of the tasks we have sent are given in Section 3 and Section 4. Finally, Section 5 discusses the achieved results and concludes the paper. The result tables are attached at the end of the paper.
@INPROCEEDINGS{FITPUB9148, author = "Petr Chmela\v{r} and V\'{i}t\v{e}zslav Beran and Adam Herout and Michal Hradi\v{s} and Ivo \v{R}ezn\'{i}\v{c}ek and Pavel Zem\v{c}\'{i}k", title = "Brno University of Technology at TRECVid 2009", pages = "1--11", booktitle = "TRECVID 2009: Participant Notebook Papers and Slides", year = 2009, location = "Gaithersburg, MD, US", publisher = "National Institute of Standards and Technology", language = "english", url = "https://www.fit.vut.cz/research/publication/9148" }