Video jitter detection method based on inter-frame motion geometric smoothness

A technology of video shaking and inter-frame motion, applied in the field of video processing, can solve the problems of not considering the speed of motion, poor adaptability of large-displacement shaking, etc., and achieve the effect of fast calculation efficiency and high accuracy

Active Publication Date: 2016-06-15
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF8 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of computational efficiency, this method can basically meet the real-time requirements, but because it is aimed at the video surveillance system and does not take into account the factor of ...

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 jitter detection method based on inter-frame motion geometric smoothness
  • Video jitter detection method based on inter-frame motion geometric smoothness
  • Video jitter detection method based on inter-frame motion geometric smoothness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] A video shake detection method based on inter-frame motion geometric smoothness, see figure 1 , the specific implementation steps are as follows:

[0033] Step 1. Segment the video according to the similarity between frames

[0034] For an input video, calculate several key frames, and divide the video into several segments accordingly. In this embodiment, the method proposed by Neel Joshi et al. (Joshi, N., Kienzle, W., Uyttendaele, M., and Cohen, M. Real-Time Hyperlapse Creation via Optimal Frame Selection. ACMSIGGRAPH2015.) was adopted. In this algorithm, first, for each frame of the video, the frame matching cost is calculated with the subsequent frames, and then a dynamic programming algorithm is used to calculate a frame starting from a certain frame in the first few frames of the video to a certain frame in the last few frames. The path with the least cost at the end of the frame, and the frames on the path are the keyframes.

[0035] Step 2. Video segmentatio...

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 video jitter detection method based on inter-frame motion geometric smoothness, and belongs to the technical field of video processing. The method comprises the following steps: step 1, segmenting according to an inter-frame similarity degree; step 2, performing motion estimation on every segment by using characteristic point detection and matching; step 3, after that, calculating an average value and a variance of a translation of adjacent frames within the segments and an average value of a translation vector angle, and measuring the motion geometric smoothness through the three geometric quantities; and step 4, comparing the three geometric quantities with a preset threshold, and judging whether the segments jitter. Compared with an existing method, the video jitter detection method based on the inter-frame motion geometric smoothness provided by the invention uses the three geometric quantities relevant to the inter-frame translation vector to measure a jitter degree of one segment, and the calculation efficiency is fast and the accuracy is high.

Description

technical field [0001] The invention relates to a video shake detection method, in particular to a video shake detection method based on inter-frame motion geometric smoothness, and belongs to the technical field of video processing. Background technique [0002] With the gradual popularization of photography and camera equipment and the cheapness of digital storage equipment, video shooting has entered every aspect of people's lives. However, due to the limitations of the camera carrier and the shooting environment, the recorded video data often has a phenomenon of jitter, which seriously affects the visual sense and subsequent processing. [0003] Users have endless requirements for video quality, and jitter is undoubtedly a key factor affecting video quality, so the problem of video jitter detection has high application value. In the field of video jitter detection, predecessors have recognized its importance and done related research, such as Jiang Aiwen, Liu Changhong,...

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): H04N5/232G06T5/00
CPCG06T5/003G06T2207/20201H04N23/682
Inventor 张磊陈晓权黄华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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