VITALAS at TRECVID-2008

Christos Diou; Christos Papachristou; Panagiotis Panagiotopoulos; George Stephanopoulos; Nikos Dimitriou; Anastasios Delopoulos; H. Rode; Robin Aly; A.P. de Vries; Theodora Tsikrika

VITALAS at TRECVID-2008

Christos Diou, Christos Papachristou, Panagiotis Panagiotopoulos, George Stephanopoulos, Nikos Dimitriou, Anastasios Delopoulos, H. Rode, Robin Aly, A.P. de Vries, Theodora Tsikrika

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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Abstract

In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).

Original language	English
Title of host publication	TREC Video Retrieval Evaluation Online Proceedings
Place of Publication	Geithesburg, U.S.
Publisher	NIST
Pages	-
Number of pages	11
ISBN (Print)	not assigned
Publication status	Published - Mar 2009
Event	TREC Video Retrieval Evaluation, TRECVID 2008 - Gaithersburg, United States Duration: 17 Nov 2008 → 18 Nov 2008

Publication series

Name
Publisher	National Institute of Standards and Technology, NIST

Workshop

Workshop	TREC Video Retrieval Evaluation, TRECVID 2008
Abbreviated title	TRECVID
Country/Territory	United States
City	Gaithersburg
Period	17/11/08 → 18/11/08

Keywords

EWI-15229
IR-65432
METIS-263782

Access to Document

http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/vitalas.pdf

Cite this

@inproceedings{661ed588b0f649a4bf2fb70364b2ebbb,

title = "VITALAS at TRECVID-2008",

abstract = "In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).",

keywords = "EWI-15229, IR-65432, METIS-263782",

author = "Christos Diou and Christos Papachristou and Panagiotis Panagiotopoulos and George Stephanopoulos and Nikos Dimitriou and Anastasios Delopoulos and H. Rode and Robin Aly and {de Vries}, A.P. and Theodora Tsikrika",

year = "2009",

month = mar,

language = "English",

isbn = "not assigned",

publisher = "NIST",

pages = "--",

booktitle = "TREC Video Retrieval Evaluation Online Proceedings",

note = "TREC Video Retrieval Evaluation, TRECVID 2008, TRECVID ; Conference date: 17-11-2008 Through 18-11-2008",

}

Diou, C, Papachristou, C, Panagiotopoulos, P, Stephanopoulos, G, Dimitriou, N, Delopoulos, A, Rode, H, Aly, R, de Vries, AP & Tsikrika, T 2009, VITALAS at TRECVID-2008. in TREC Video Retrieval Evaluation Online Proceedings. NIST, Geithesburg, U.S., pp. -, TREC Video Retrieval Evaluation, TRECVID 2008, Gaithersburg, Maryland, United States, 17/11/08. <http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/vitalas.pdf>

TY - GEN

T1 - VITALAS at TRECVID-2008

AU - Diou, Christos

AU - Papachristou, Christos

AU - Panagiotopoulos, Panagiotis

AU - Stephanopoulos, George

AU - Dimitriou, Nikos

AU - Delopoulos, Anastasios

AU - Rode, H.

AU - Aly, Robin

AU - de Vries, A.P.

AU - Tsikrika, Theodora

PY - 2009/3

Y1 - 2009/3

N2 - In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).

AB - In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).

KW - EWI-15229

KW - IR-65432

KW - METIS-263782

M3 - Conference contribution

SN - not assigned

SP - -

BT - TREC Video Retrieval Evaluation Online Proceedings

PB - NIST

CY - Geithesburg, U.S.

T2 - TREC Video Retrieval Evaluation, TRECVID 2008

Y2 - 17 November 2008 through 18 November 2008

ER -

VITALAS at TRECVID-2008

Abstract

Publication series

Workshop

Keywords

Access to Document

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