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Piet: Facilitating Color Authoring for Motion Graphics Video

International Conference on Human Factors in Computing Systems
Motion graphic (MG) videos are effective and compelling for presenting complex concepts through animated visuals; and colors are important to convey desired emotions, maintain visual continuity, and signal narrative transitions.
Xinyu Shi   +3 more
semanticscholar   +1 more source

Motion Graphics

2016
Song lyrics fly across the screen in time to music. A globe spins and zooms into a war-torn country. Money rises from a screen to explain an economic situation. Now, more than ever, we are surrounded by these motion graphics on our TV and cinema screens, on our smartphones, computers, and tablets, on Main Street and in our galleries.
Ian Crook, Peter Beare
openaire   +1 more source

Graphic display of human motion

Proceedings of the 1978 annual conference on - ACM '78, 1978
Presented is the application of two and three dimensional graphic display models of a human body in studying the motion of a human being as a result of external influences. Included are an occupant during a vehicle crash and a parachutist during the opening of his chute.
openaire   +1 more source

Motion graphics, description and control

ACM SIGGRAPH Computer Graphics, 1984
Perhaps the single most important reason to investigate methods of motion graphics, description and control is that these modalities verify that a representation is adequate to describe motion phenomena. Whether designed for human or computer vision, a motion representation often only serves as a target for information extracted to accomplish a ...
openaire   +2 more sources

Mathematical Basics of Motion and Deformation in Computer Graphics

ACM SIGGRAPH 2014 Courses, 2014
This synthesis lecture presents an intuitive introduction to the mathematics of motion and deformation in computer graphics. Starting with familiar concepts in graphics, such as Euler angles, quaternions, and affine transformations, we illustrate that a mathematical theory behind these concepts enables us to develop the techniques for efficient ...
Hiroyuki Ochiai, Ken Anjyo
openaire   +2 more sources

Graphical Models for Human Motion Modelling

2008
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. To automate the process of motion modeling we consider a class of learned dynamic models cast in the framework of dynamic Bayesian networks (DBNs) applied to analysis and tracking of the human figure. While direct learning of DBN parameters is possible,
Kooksang Moon, Vladimir Pavlovic 0001
openaire   +2 more sources

The Effect of Motion in Graphical User Interfaces

2003
Motion can be an effective tool to focus user's attention and to support the parsing of complex information in graphical user interfaces. Despite the ubiquitous use of motion in animated displays, its effectiveness has been marginal at best. The ineffectiveness of many animated displays may be due to a mismatch between the attributes of motion and the ...
Paul U. Lee   +2 more
openaire   +1 more source

SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction

Computer Vision and Pattern Recognition
Text-based 3D human motion editing is a critical yet challenging task in computer vision and graphics. While training-free approaches have been explored, the recent release of the MotionFix dataset, which includes source-text-motion triplets, has opened ...
Zhengyuan Li   +5 more
semanticscholar   +1 more source

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control

arXiv.org
MimicKit is an open-source framework for training motion controllers using motion imitation and reinforcement learning. The codebase provides implementations of commonly-used motion-imitation techniques and RL algorithms.
X. Peng
semanticscholar   +1 more source

Fluid Inverse Volumetric Modeling and Applications From Surface Motion

IEEE Transactions on Visualization and Computer Graphics
In this study, we devise a framework for volumetrically reconstructing fluid from observable, measurable free surface motion. Our innovative method amalgamates the benefits of deep learning and conventional simulation to preserve the guiding motion and ...
Xue-Guang Xie   +5 more
semanticscholar   +1 more source

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