Detail publikačního výsledku

Brno University of Technology at TRECVid 2009

CHMELAŘ, P.; BERAN, V.; HEROUT, A.; HRADIŠ, M.; ŘEZNÍČEK, I.; ZEMČÍK, P.

Originální název

Brno University of Technology at TRECVid 2009

Anglický název

Brno University of Technology at TRECVid 2009

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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:

  1. 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.

  2. 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.

Anglický abstrakt

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:

  1. 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.

  2. 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.

Klíčová slova

TRECVid, Search, HLF, NIST

Klíčová slova v angličtině

TRECVid, Search, HLF, NIST

Autoři

CHMELAŘ, P.; BERAN, V.; HEROUT, A.; HRADIŠ, M.; ŘEZNÍČEK, I.; ZEMČÍK, P.

Vydáno

16.11.2009

Nakladatel

National Institute of Standards and Technology

Místo

Gaithersburg, MD

Kniha

TRECVID 2009: Participant Notebook Papers and Slides

Strany od

1

Strany do

11

Strany počet

11

BibTex

@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"
}