An Efficient Video Stabilization Method Based on Geometric Interpolation

A technique for efficient video, stabilization methods

Inactive Publication Date: 2018-07-13
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

3D methods can in principle handle the parallax problem and produce very stable results, but are less robust and computationally expensive
The 2.5D method does not require 3D reconstruction, which greatly reduces time consumption, but the long feature point trajectory required by the method also makes it unable to deal with some situations such as rapid camera movement, rapid scene change, severe occlusion, etc.

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
  • An Efficient Video Stabilization Method Based on Geometric Interpolation
  • An Efficient Video Stabilization Method Based on Geometric Interpolation
  • An Efficient Video Stabilization Method Based on Geometric Interpolation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] An efficient video stabilization method based on geometric interpolation, the specific implementation steps are as follows:

[0053] Step 1. Calculate the optimal smooth path

[0054]For jittery videos, an optimal smooth path is calculated, and each frame on the path is regarded as a stable frame without deshaking operation, and all other frames are regarded as jittery frames. 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. ACM SIGGRAPH 2015.) was used in the calculation. For each frame of the video, the frame matching cost is calculated with the subsequent W frames, and then a path with the least cost starting from a frame in the first g frame of the video to the end of a frame in the last g frame is calculated by a dynamic programming algorithm . The frame matching cost in the Neel Joshi method is defined as follows:

[0055] The first item: alignment cost

...

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 an efficient video stabilization method based on geometric interpolation and belongs to the technical field of video processing. The method comprises the steps of calculating an optimal smooth path according to the interframe matching cost; dividing video into a plurality of sections with frames on the optical smooth path as the boundaries and performing motion estimation on each section according to feature point detection and matching; with the start frame and the termination frame of each section as the reference, calculating the motion compensation of other frames through the linear interpolation method for geometrical quantities; generating stable video after image transformation of shaking frames through motion compensation transformation. Compared with conventional methods, the method describes camera motion through interframe affine transformation, obtains the translation compensation and rotation compensation of shaking frames through linear interpolation of geometrical quantities, guarantees that generated stable images are free of obvious warp, and is high in calculation efficiency and robustness.

Description

technical field [0001] The invention relates to a video stabilization method, in particular to an efficient video stabilization method based on geometric interpolation, and belongs to the technical field of video processing. Background technique [0002] Video capture has important applications in media entertainment, urban security, etc. However, due to the limitations of the hardware environment and the level of photographers during video shooting, videos shot in a moving environment often have problems such as picture jitter, which affects further processing of the video. [0003] Scholars at home and abroad have done a lot of basic research on video stabilization, which has high application value. Commonly used video stabilization methods mainly include three categories: methods based on estimating and smoothing 2D camera motion, methods based on estimating and smoothing 3D camera motion, and 2.5D methods that combine the advantages of the former two. Methods based on ...

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 Patents(China)
IPC IPC(8): H04N5/21
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