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COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
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机译：具有学习能力的交通运输和管制环境中的视频压缩计算有效运动估计
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摘要
The method facilitates efficient motion estimation for video sequences captured with a stationary camera with respect to an object. For video captured with this type of camera, a main cause of changes between adjacent frames corresponds to object motion. In this setting the output from the motion compensation stage is the block matching algorithm describing the way pixel blocks move between adjacent frames. For video captured with cameras mounted on moving vehicles (e.g. school buses, public transportation vehicles and police cars), the motion of the vehicle itself is the largest source of apparent motion in the captured video. In both cases, the encoded set of motion vectors is a good descriptor of apparent motion of objects within the field of view of the camera.
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