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Search Publications by: Jonathan G. Fiscus (Fed)

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Displaying 26 - 50 of 51

TRECVID 2014 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

March 26, 2015
Author(s)
Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, David M. Joy, Martial Michel, George Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2014 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last

TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

May 5, 2014
Author(s)
Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, David M. Joy, Martial Michel, George M. Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
TRECVID 2013 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last ten years this effort has yielded a better

Overview of the NIST Open Keyword Search 2013 Evaluation Worksho

August 23, 2013
Author(s)
Jonathan G. Fiscus, Nancy Chen
The NIST Open Keyword Search 2013 (OpenKWS13) Evaluation Workshop was the culmination of the first in a series of community-wide evaluations to test research systems that search for keywords in audio of a "surprise" language. OpenKWS13 made use of the

TRECVID 2012 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

April 1, 2013
Author(s)
Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, Barbara L. Shaw, Martial Michel, George Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2012 was a TREC-style video analysis and retrieval evaluation, the goal of which was to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. TRECVID 2012

Creating HAVIC: Heterogeneous Audio Visual Internet Collection

May 21, 2012
Author(s)
Stephanie Strassel, Amanda Morris, Jonathan G. Fiscus, Christopher Caruso, Haejoong Lee, Paul D. Over, James Fiumara, Barbara L. Shaw, Brian Antonishek, Martial Michel
Linguistic Data Consortium and the National Institute of Standards and Technology are collaborating to create a large, heterogeneous annotated multimodal corpus to support research in multimodal event detection and related technologies. The HAVIC

TRECVID 2011 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

May 8, 2012
Author(s)
Paul D. Over, George M. Awad, Jonathan G. Fiscus, Brian Antonishek, Martial Michel, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2011 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last ten

TRECVID 2010 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

April 15, 2011
Author(s)
Paul D. Over, George M. Awad, Jonathan G. Fiscus, Brian Antonishek, Martial Michel, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2010 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last 10

TRECVID 2009 -- Goals, Tasks, Data, Evaluation Mechanisms and Metrics

April 30, 2010
Author(s)
Paul D. Over, George M. Awad, Jonathan G. Fiscus, Martial Michel, Alan Smeaton, Wessel Kraaij
The TREC Video Retrieval Evaluation (TRECVID) 2009 was a TREC-style video analysis and retrieval evaluation, the goal of which was to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. 63 teams from various

The TRECVid 2008 Event Detection Evaluation

December 9, 2009
Author(s)
Jonathan G. Fiscus, John S. Garofolo, Paul D. Over, Martial Michel, Richard T. Rose
This paper is a summary of the 2008 TRECVid Event Detection evaluation. TRECVid is a laboratory-style evaluation that aims to model real world situations or significant component tasks. The event detection evaluation was organized to address detection of a

Middleware and Metrology for the Pervasive Future

July 1, 2009
Author(s)
Antoine Fillinger, Imad Hamchi, Stephane Degre, Lukas L. Diduch, Richard T. Rose, Jonathan G. Fiscus, Vincent M. Stanford
Using data streams from acoustic, video, proximity, location, and even physiological sensors, to recognize user intent and respond appropriately is one of the grand challenges to the multimodal research community. We describe our sensor-net middleware, the

The Rich Transcription 2006 Spring Meeting Recognition Evaluation

May 4, 2006
Author(s)
Jonathan G. Fiscus, Jerome G. Ajot, Martial Michel, John S. Garofolo
This paper presents the design and results of the Rich Transcription Spring 2006 (RT-06S) Meeting Recognition Evaluation. This evaluation is the fourth in a series of community-wide evaluations of language technologies in the meeting domain. For 2006

The NIST Meeting Room Phase II Corpus

May 1, 2006
Author(s)
Martial Michel, Jerome G. Ajot, Jonathan G. Fiscus
The Speech Group and Smart Spaces Lab of National Institute of Standards and Technology's Information Technology Laboratory have collaborated to collect a second phase of meetings in the NIST Meeting Data Collection Laboratory. The meeting laboratory

The Rich Transcription 2004 Spring Meeting Recognition Evaluation

April 1, 2004
Author(s)
John S. Garofolo, Christophe Laprun, Jonathan G. Fiscus
This paper presents the design and results of the Rich Transcription 2004 Spring Meeting Recognition Evaluation. The evaluation included both Speaker Segmentation (SPKR) and Speech-to-Text Transcription (STT) tasks. Three microphone conditions were

Topic Detection and Tracking Evaluation Overview

February 1, 2002
Author(s)
Jonathan G. Fiscus, G R. Doddington
The objective of the Topic Detection and Tracking (TDT) program is to develop technologies that search, organize and structure multilingual, news oriented textual materials from a variety of broadcast news media. This research program uses controlled

Measurements in Support of Research Accomplishments

July 1, 2000
Author(s)
D S. Pallett, John S. Garofolo, Jonathan G. Fiscus
This paper reviews the role provided by the National Institute of Standards and Technology (NIST) in the development of measurements in support of broadcast news-based technologies. The focus of these measurements was initially on specifying the word error

Automatic Language Model Adapation for Spoken Document Retrieval

January 1, 2000
Author(s)
C G. Auzanne, John S. Garofolo, Jonathan G. Fiscus, W M. Fisher
This paper describes experiments implemented at NIST in adapting language models over time to improve recognition of broadcast news recorded over many months. These experiments were designed specifically to improve the utility of automatically generated

Data Selection for Broadcast News CSR Evaluations

August 1, 1998
Author(s)
W M. Fisher, Walter S. Liggett Jr, A N. Le, Jonathan G. Fiscus, D S. Pallett
Composition of the 1997 Hub-4 broadcast news test set is discussed. The composition is based on concurrent selection of a statistically equivalent test set for a future evaluation, adjustment of the set to match the training data, and other considerations

Results of the 2006 Spoken Term Detection Evaluation

Author(s)
Jonathan G. Fiscus, Jerome G. Ajot, John S. Garofolo, George Doddington
This paper presents the first evaluation of Spoken Term Detection technologies, held during the latter part of 2006. Spoken Term Detection systems rapidly detect the presence of a term, which is a sequence of words consecutively spoken, in a large audio

The Rich Transcription 2005 Spring Meeting Recognition Evaluation

Author(s)
Jonathan G. Fiscus, Nicolas Radde, John S. Garofolo, A N. Le, Jerome G. Ajot, Christophe Laprun
This paper presents the design and results of the Rich Transcription Spring 2005 (RT-05S) Meeting Recognition Evaluation. This evaluation is the third in a series of community-wide evaluations of language technologies in the meeting domain. For 2005, four