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AFRL team takes top honors at international Artificial Intelligence competition
By Bryan Ripple , 88th Air Base Wing Public Affairs / Published December 05, 2017
WRIGHT-PATTERSON AIR FORCE BASE, Ohio (AFNS) -- As part of an increased commitment to autonomy research, a team from the Air Force Research Laboratory at Wright-Patterson Air Force Base recently entered and won the Large-Scale Movie Description Challenge at the 2017 International Conference on Computer Vision in Venice, Italy.
“International open competitions such as the LSMDC provide an objective assessment of the latest state-of-the-art in cutting edge Artificial Intelligence technology,” said Dr. Vincent Velten, AFRL’s Multi-Domain Sensing Autonomy Division Decision Science Branch Technical advisor.
The goal of the LSMDC was to automatically generate a simple one sentence description of the actions or activities that occur in a 4-5 second video clip from a movie. Participants were given access to a training data set of clips and associated human generated sentences and were required to provide an algorithm for independent human evaluation against a blind test set of movie clips.
More at: http://www.af.mil/News/Article-Disp...national-artificial-intelligence-competition/
By Bryan Ripple , 88th Air Base Wing Public Affairs / Published December 05, 2017
WRIGHT-PATTERSON AIR FORCE BASE, Ohio (AFNS) -- As part of an increased commitment to autonomy research, a team from the Air Force Research Laboratory at Wright-Patterson Air Force Base recently entered and won the Large-Scale Movie Description Challenge at the 2017 International Conference on Computer Vision in Venice, Italy.
“International open competitions such as the LSMDC provide an objective assessment of the latest state-of-the-art in cutting edge Artificial Intelligence technology,” said Dr. Vincent Velten, AFRL’s Multi-Domain Sensing Autonomy Division Decision Science Branch Technical advisor.
The goal of the LSMDC was to automatically generate a simple one sentence description of the actions or activities that occur in a 4-5 second video clip from a movie. Participants were given access to a training data set of clips and associated human generated sentences and were required to provide an algorithm for independent human evaluation against a blind test set of movie clips.
More at: http://www.af.mil/News/Article-Disp...national-artificial-intelligence-competition/
