Supercharge Your Innovation With Domain-Expert AI Agents!

Improved-block-matching-algorithm-based digital video image-stabilizing method

A digital video, block matching technology, applied in TV, computing, color TV and other directions, can solve problems such as poor processing and accumulated errors

Inactive Publication Date: 2017-04-05
TIANJIN UNIV
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art and aiming at the shortcomings of the existing block matching algorithms in video image stabilization that have accumulated errors and cannot handle motion blur well, the present invention aims to propose a digital stabilization algorithm based on an improved block matching algorithm. like method

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
  • Improved-block-matching-algorithm-based digital video image-stabilizing method
  • Improved-block-matching-algorithm-based digital video image-stabilizing method
  • Improved-block-matching-algorithm-based digital video image-stabilizing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention aims at the shortcomings of the block matching algorithm in the existing video image stabilization that have accumulated errors and cannot handle motion blur and the like, and proposes a digital image stabilization method based on the improved block matching algorithm. The basic idea of ​​the algorithm is to introduce the KCF target tracking algorithm, that is, after the block matching algorithm is run, then run the KCF target tracking algorithm to obtain more accurate results. The next step is consistent with the common algorithm, motion filtering and motion compensation, and finally output the stabilized video. Since the present invention mainly focuses on the improvement of the block matching algorithm, the combination of the block matching algorithm and KCF target tracking is introduced in detail. Other steps such as motion filtering and motion compensation adopt common and common methods, and a simple and easy-to-implement method is adopted her...

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 relates to a digital video image-stabilizing method. In order to overcome defects that an accumulation error occurs and situations like motion blurring can not be dealt with well according to the existing block matching algorithm in video image stabilization, the invention aims at providing an improved-block-matching-algorithm-based digital video image-stabilizing method. The method comprises: (1), selecting matching blocks with diversified features; (2) operating a kernelized-correlation-filters (KCF) target tracking algorithm to determine picture changes; (3), according to a result obtained at the step (2), calculating difference values between coordinates at upper left corners of all matching blocks in a current frame and coordinates at the upper left corners of corresponding matching blocks in a reference frame; and (4), repeating the steps (2) and (3) until a video ends. The method is mainly applied to digital video image stabilization.

Description

technical field [0001] The invention relates to a digital video image stabilization method, in particular to a digital video image stabilization method based on an improved block matching algorithm. Background technique [0002] Digital video image stabilization refers to the use of relevant algorithms to process the original video obtained by the video capture device to remove the jitter. The purpose of video image stabilization is, on the one hand, to make people’s eyes comfortable to observe, which is beneficial to manual observation and discrimination; on the other hand, it is also used as a preprocessing stage for many other subsequent processes, such as detection, tracking and compression. [0003] A typical implementation of digital image stabilization includes a motion estimation module and a motion compensation module. In the motion estimation module, traditional motion estimation algorithms include block matching algorithm, gray projection method and feature point...

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): H04N5/21H04N5/232G06T5/00G06T7/223
CPCH04N5/21G06T2207/20201G06T2207/10016H04N23/68G06T5/80
Inventor 操晓春何军林郑继龙李雪威
Owner TIANJIN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com