NIST/USF Evaluation Resources for the VACE Program - Meeting Data Training Set Part 2
|Item Name:||NIST/USF Evaluation Resources for the VACE Program - Meeting Data Training Set Part 2|
|Author(s):||Rangachar Kasturi, Dmitry Goldgof, Vasant Manohar, Padmanabhan Soundararajan, John S. Garofolo, Rachel Bowers, Travis Rose, Jonathan G. Fiscus, Martial Michel|
|LDC Catalog No.:||LDC2011V02|
|Release Date:||April 15, 2011|
|Data Source(s):||meeting speech, microphone conversation|
|Application(s):||content-based retrieval, event detection, information extraction|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2011V02 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Kasturi, Rangachar, et al. NIST/USF Evaluation Resources for the VACE Program - Meeting Data Training Set Part 2 LDC2011V02. Web Download. Philadelphia: Linguistic Data Consortium, 2011.|
NIST/USF Evaluation Resources for the VACE Program - Meeting Data Training Set Part 2, Linguistic Data Consortium (LDC) catalog number LDC2011V02 and isbn 1-58563-577-4, was developed by researchers at the Department of Computer Science and Engineering, University of South Florida (USF), Tampa, Florida and the Multimodal Information Group at the National Institute of Standards and Technology (NIST). It contains approximately fourteen hours of meeting room video data collected in 2001 and 2002 at NISTs Meeting Data Collection Laboratory and annotated for the VACE (Video Analysis and Content Extraction) 2005 face, person and hand detection and tracking tasks. LDC has previously released NIST/USF Evaluation Resources for the VACE Program - Meeting Data Training Set Part 1 LDC2011V01.
The VACE program was established to develop novel algorithms for automatic video content extraction, multi-modal fusion, and event understanding. During VACE Phases I and II, the program made significant progress in the automated detection and tracking of moving objects including faces, hands, people, vehicles and text in four primary video domains: broadcast news, meetings, street surveillance, and unmanned aerial vehicle motion imagery. Initial results were also obtained on automatic analysis of human activities and understanding of video sequences.
Three performance evaluations were conducted under the auspices of the VACE program between 2004 and 2007. The 2005 evaluation was administered by USF in collaboration with NIST and guided by an advisory forum including the evaluation participants. A summary of results of the evaluation can be found in the 2005 VACE results and analysis paper included in this release.
NISTs Meeting Data Collection Laboratory is designed to collect corpora to support research, development and evaluation in meeting recognition technologies. It is equipped to look and sound like a conventional meeting space. The data collection facility includes five Sony EV1-D30 video cameras, four of which have stationary views of a center conference table (one view from each surrounding wall) with a fixed focus and viewing angle, and an addtional floating camera which is used to focus on particular participants, whiteboard or conference table depending on the meeting forum. The data is captured in a NIST-internal file format. The video data was extracted from the NIST format and encoded using the MPEG-2 standard in NTSC format. Further information concerning the video data parameters can found in the documentation included with this corpus.
The VACE evaluation tools have been integrated into NISTs downloadable Framework for Detection Evaluation (F4DE) Toolkit. The toolkit contains small example files for each of the task/object/domain scoring combinations.
Additional information, updates, bug fixes may be available in the LDC catalog entry for this corpus at LDC2011V02.