THESIS
2018
Abstract
Visual Effect (VFX) is a popular technique to enrich video content. There exist several light-weight
mobile applications for visual effects superposition, in which novice users need to select a template
and follow the instructions to create their own visual effect video. However, these applications
cannot automatically detect the desired timing and position of the visual effect in the user video,
thus users need to tediously adjust or add the visual effect by themselves.
In this thesis, we develop a fully automatic template-based augmentation system to superimpose
visual effects onto user videos. In our system, pre-defined template videos with visual effects are
provided and the user selects one to mimic the action therein. Our system processes the user
imitation video and autom...[
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Visual Effect (VFX) is a popular technique to enrich video content. There exist several light-weight
mobile applications for visual effects superposition, in which novice users need to select a template
and follow the instructions to create their own visual effect video. However, these applications
cannot automatically detect the desired timing and position of the visual effect in the user video,
thus users need to tediously adjust or add the visual effect by themselves.
In this thesis, we develop a fully automatic template-based augmentation system to superimpose
visual effects onto user videos. In our system, pre-defined template videos with visual effects are
provided and the user selects one to mimic the action therein. Our system processes the user
imitation video and automatically transfers the template visual effect onto it. To this end, we pre-analyze
the template video to detect motion interest points, one of which is pre-defined as the
spatio-temporal location of the visual effect. Given the user imitation video as input, we detect its
motion interest points and then use a dynamic programming-based algorithm to match them with
the selected template. With the matching result, our system automatically transfers the visual effect
from the template to the desired spatio-temporal location in the user video. We conduct a user study
to demonstrate the effectiveness of our system.
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