Invention Application
US20140169469A1 COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS 有权
具有学习能力的计算能力运动估计,用于运输和定期环境中的视频压缩

  • Patent Title: COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
  • Patent Title (中): 具有学习能力的计算能力运动估计,用于运输和定期环境中的视频压缩
  • Application No.: US13718030
    Application Date: 2012-12-18
  • Publication No.: US20140169469A1
    Publication Date: 2014-06-19
  • Inventor: Edgar A. BernalStuart A. SchweidOrhan Bulan
  • Applicant: XEROX CORPORATION
  • Applicant Address: US CT Norwalk
  • Assignee: XEROX CORPORATION
  • Current Assignee: XEROX CORPORATION
  • Current Assignee Address: US CT Norwalk
  • Main IPC: H04N7/26
  • IPC: H04N7/26
COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
Abstract:
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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