Hideaki Kimata — accepted AI-conference papers

2019

Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution

Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata

CVPR 2019poster

Video magnification methods can magnify and reveal subtle changes invisible to the naked eye. However, in such subtle changes, meaningful ones caused by physical and natural phenomena are mixed with non-meaningful ones caused by photographic noise. Therefore, current methods often produce noisy and…

Cited by 32 PDF ↗Scholar ↗

2018

Jerk-Aware Video Acceleration Magnification

Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata

CVPR 2018poster

Video magnification reveals subtle changes invisible to the naked eye, but such tiny yet meaningful changes are often hidden under large motions: small deformation of the muscles in doing sports, or tiny vibrations of strings in ukulele playing. For magnifying subtle changes under large motions, vid…

Cited by 42 Source ↗PDF ↗Scholar ↗