Global motion estimation method and device

A global motion and motion vector technology, applied in the field of image and video coding, can solve the problems of low precision and poor accuracy of global motion estimation

Inactive Publication Date: 2009-12-09
PEKING UNIV +2
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a global motion estimation method and device to solve the problem of low precision and poor accuracy of global motion estimation in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Global motion estimation method and device
  • Global motion estimation method and device
  • Global motion estimation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to effectively improve the accuracy of global motion estimation and the problem of accuracy, the embodiment of the present invention provides a method for global motion estimation. The method includes: according to the attribute of the motion vector corresponding to each pixel of the current frame of the image to be estimated information, determine at least one cluster, where each cluster includes multiple pixels; divide the current frame into multiple regions, and determine the number of pixels included in each cluster in each region. The distribution variance in the current frame, according to the distribution variance, determine the cluster where the motion model input pixel points are located; according to the macroblock segmentation mode and / or the amplitude of each pixel point in the cluster where the input pixel points are located angle information, select the motion model input pixels; according to the motion model input pixels and the set motion model, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a global motion estimation method and a device, being used for solving the problems of low accuracy and poor precision of global motion estimation in the prior art. In the method, at least a cluster is determined according to motion vector attribute information corresponding to each pixel point of current frame of an image to be estimated; the current frame is divided into a plurality of areas, distribution variance of each cluster in the current frame is determined according to the number of the pixel points included in each cluster in each area, and the cluster in which a motion module input pixel is determined according to the distribution variance; the motion module input pixel is selected according to macro block partition and / or argument information of each pixel point in the cluster; parameters of a motion module are determined according to the input pixel point and the set motion module, and the position of the pixel point of a reference frame after motion compensation of the image to be estimated according to the parameters. The proposal provided by the invention excludes the interference and influence of local motion to global motion, thus providing the estimation with higher precision and more precise result.

Description

technical field [0001] The present invention relates to the technical field of image and video coding, and in particular, to a method and device for global motion estimation. Background technique [0002] Global Motion Estimation (GME) is widely used in image and video processing such as image registration, computer vision, camera motion detection, object recognition and tracking, and content-based video coding. The global motion estimation methods in the prior art can generally be divided into the following categories: methods based on the spatial domain, methods based on the frequency domain, methods based on image features and textures, and methods based on spatiotemporal slices. [0003] The method based on the space domain is widely used, but the accuracy of the estimation result is greatly affected due to the existence of interfering pixels and noise. At the same time, due to the need for multiple iterations in the calculation process, the calculation complexity increa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N7/26H04N19/176H04N19/527
Inventor 吕品刘家瑛郭宗明
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap