Video image motion processing method and implementation device with global feature classification

A global feature, video image technology, applied in image data processing, image enhancement, image analysis and other directions, can solve problems such as large errors, achieve the effect of avoiding distortion, accurate local motion feature results, and improving accuracy

Inactive Publication Date: 2008-02-20
POWERLAYER MICROSYST HLDG
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The present invention aims at the problem of relatively large errors caused by judgments limited to local areas in existing video image motion processing methods, and provides a video image motion processing method that introduces global feature classification

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
  • Video image motion processing method and implementation device with global feature classification
  • Video image motion processing method and implementation device with global feature classification
  • Video image motion processing method and implementation device with global feature classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0051] As shown in Figure 1, the video image motion processing method that introduces global feature classification includes the following steps:

[0052] A. Acquiring local features: acquiring local features of pixels in the video image to be processed, where the local features at least include local motion features. The local motion feature of a pixel refers to the attribute feature information that characterizes the motion state of a pixel.

[0053] B. Obtain global features: acquire global features of the video image to be processed. The global feature refers to the characteristics of the image from a macroscopic point of view, and is obtained after comprehensively processing the attribute characteristics (ie, microscopic characteristics) of the pixels in the image.

[0054] C. Classification: Classify the pixels in the video image to ...

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 utility model belongs to a processing technology of digital video image, which provides a processing method of visual image motion by introducing global tag-sorting, aiming at the problem that prior processing method of visual image motion has big error. The processing method of visual image motion by introducing global tag-sorting comprises the following steps: extracting the local character of pixel points, including the character of local motion; extracting the global character of the image; classifying the pixel points according to the local character and the global character; giving correction parameters to the available classifications; correcting the character of local motion utilizing the correction parameters. The utility model also aims to provide a device of the processing method of visual image motion by introducing global tag-sorting. The utility model has an advantage that the final local character gotten by the technical proposal is more accurate for the introduction of the global character of the video image classify the local character of the pixel points and correct different classes directly.

Description

technical field [0001] The invention belongs to digital image processing technology, in particular to video digital image motion processing technology. Background technique [0002] At present, in video digital image motion processing, it is usually to process the motion characteristics and changes of local areas such as pixels to be processed and / or adjacent several pixels, and the set of motion feature processing results of all pixels in the image local area constitute The final processing result of the image. The motion adaptive algorithm (Motion Adaptive) is taken as an example below to introduce this common video image motion processing method. [0003] Motion adaptive algorithm is a video digital image processing technology based on motion information, which is commonly used in various image processing processes such as image interpolation, image deinterlacing, image noise reduction, and image enhancement. The basic idea of ​​the motion adaptive algorithm is to use m...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N5/14
CPCH04N7/26127G06T2207/10016H04N19/00157H04N7/26765H04N7/26132H04N19/00303H04N19/00145H04N19/00587G06T7/2033H04N7/26255G06T7/246H04N19/137H04N19/14H04N19/182H04N19/51
Inventor 周津柳崎峰邓宇闫建新熊国清
Owner POWERLAYER MICROSYST HLDG
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