K-Space at TRECVid 2008

P Punitha; Thierry Urruty; Yue Feng; Martin Halvey; Anuj Goyal; David Hannah; Iraklis A. Klampanos; Vassilios  Stathopoulos; Robert Villa; Joemon M. Jose

K-Space at TRECVid 2008

P Punitha, Thierry Urruty, Yue Feng, Martin Halvey, Anuj Goyal, David Hannah, Iraklis A. Klampanos, Vassilios Stathopoulos, Robert Villa, Joemon M. Jose

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

Abstract

In this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2008. We submitted six runs, five of them are automatic and one is interactive. The automatic runs include, a text baseline, two runs based on visual features, and two runs that combine high level features and visual features. For our interactive search submission we developed a search interface based on both textual and low level features, called the Group Interface.

Original language	English
Title of host publication	2008 TREC Video Retrieval Evaluation Notebook Papers and Slides
Publisher	National Institute of Standards and Technology (NIST)
Number of pages	10
Publication status	Published - 2008

Keywords

video retrieval
diversity measures
TRECVID
information retrieval
search strategies

Documents and Links

http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.8.org.html

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Punitha, P., Urruty, T., Feng, Y., Halvey, M., Goyal, A., Hannah, D., Klampanos, I. A., Stathopoulos, V., Villa, R., & Jose, J. M. (2008). K-Space at TRECVid 2008. In 2008 TREC Video Retrieval Evaluation Notebook Papers and Slides National Institute of Standards and Technology (NIST). http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.8.org.html

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abstract = "In this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2008. We submitted six runs, five of them are automatic and one is interactive. The automatic runs include, a text baseline, two runs based on visual features, and two runs that combine high level features and visual features. For our interactive search submission we developed a search interface based on both textual and low level features, called the Group Interface.",

keywords = "video retrieval, diversity measures, TRECVID, information retrieval, search strategies",

author = "P Punitha and Thierry Urruty and Yue Feng and Martin Halvey and Anuj Goyal and David Hannah and Klampanos, {Iraklis A.} and Vassilios Stathopoulos and Robert Villa and Jose, {Joemon M.}",

note = "Page numbers not cited j.s 11.05.13 The TREC conference series is sponsored by the National Institute of Standards and Technology (NIST) with additional support from other U.S. government agencies. The goal of the conference series is to encourage research in information retrieval by providing a large test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. In 2001 and 2002 the TREC series sponsored a video {"}track{"} devoted to research in automatic segmentation, indexing, and content-based retrieval of digital video. Beginning in 2003, this track became an independent evaluation (TRECVID) with a workshop taking place just before TREC. ",

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language = "English",

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K-Space at TRECVid 2008. / Punitha, P; Urruty, Thierry; Feng, Yue; Halvey, Martin; Goyal, Anuj; Hannah, David; Klampanos, Iraklis A.; Stathopoulos, Vassilios ; Villa, Robert; Jose, Joemon M.

2008 TREC Video Retrieval Evaluation Notebook Papers and Slides. National Institute of Standards and Technology (NIST), 2008.

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

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T1 - K-Space at TRECVid 2008

AU - Punitha, P

AU - Urruty, Thierry

AU - Feng, Yue

AU - Halvey, Martin

AU - Goyal, Anuj

AU - Hannah, David

AU - Klampanos, Iraklis A.

AU - Stathopoulos, Vassilios

AU - Villa, Robert

AU - Jose, Joemon M.

N1 - Page numbers not cited j.s 11.05.13 The TREC conference series is sponsored by the National Institute of Standards and Technology (NIST) with additional support from other U.S. government agencies. The goal of the conference series is to encourage research in information retrieval by providing a large test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. In 2001 and 2002 the TREC series sponsored a video "track" devoted to research in automatic segmentation, indexing, and content-based retrieval of digital video. Beginning in 2003, this track became an independent evaluation (TRECVID) with a workshop taking place just before TREC.

PY - 2008

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N2 - In this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2008. We submitted six runs, five of them are automatic and one is interactive. The automatic runs include, a text baseline, two runs based on visual features, and two runs that combine high level features and visual features. For our interactive search submission we developed a search interface based on both textual and low level features, called the Group Interface.

AB - In this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2008. We submitted six runs, five of them are automatic and one is interactive. The automatic runs include, a text baseline, two runs based on visual features, and two runs that combine high level features and visual features. For our interactive search submission we developed a search interface based on both textual and low level features, called the Group Interface.

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KW - diversity measures

KW - TRECVID

KW - information retrieval

KW - search strategies

M3 - Conference contribution

BT - 2008 TREC Video Retrieval Evaluation Notebook Papers and Slides

PB - National Institute of Standards and Technology (NIST)

ER -