TY - GEN
T1 - Large scale video analytics
T2 - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
AU - Kuhn, Virginia
AU - Craig, Alan
AU - Franklin, Kevin
AU - Simeone, Michael
AU - Arora, Ritu
AU - Bock, Dave
AU - Marini, Luigi
PY - 2012
Y1 - 2012
N2 - Video is exploding as a means of communication and expression, and the resultant archives are massive, disconnected datasets. Thus, scholars' ability to research this crucial aspect of contemporary culture is severely hamstrung by limitations in semantic image retrieval, incomplete metadata, and the lack of a precise understanding of the actual content of any given archive. Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both image-retrieval and research that uses extreme-scale archives of video data that employs a human-machine hybrid process for analyzing moving images. We propose an approach that 1) places more interpretive power in the hands of the human user through novel visualizations of video data, and 2) uses a customized on-demand configuration that enables iterative queries.
AB - Video is exploding as a means of communication and expression, and the resultant archives are massive, disconnected datasets. Thus, scholars' ability to research this crucial aspect of contemporary culture is severely hamstrung by limitations in semantic image retrieval, incomplete metadata, and the lack of a precise understanding of the actual content of any given archive. Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both image-retrieval and research that uses extreme-scale archives of video data that employs a human-machine hybrid process for analyzing moving images. We propose an approach that 1) places more interpretive power in the hands of the human user through novel visualizations of video data, and 2) uses a customized on-demand configuration that enables iterative queries.
KW - High performance computing
KW - Image edge detection
KW - Image retrieval
KW - Multimedia databases
KW - Software
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84873616548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873616548&partnerID=8YFLogxK
U2 - 10.1109/eScience.2012.6404446
DO - 10.1109/eScience.2012.6404446
M3 - Conference contribution
AN - SCOPUS:84873616548
SN - 9781467344678
T3 - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
BT - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
Y2 - 8 October 2012 through 12 October 2012
ER -