Video shot segmentation method and system

A lens segmentation and video technology, applied in the field of image processing, can solve the problems of low accuracy of gradient lens detection and poor lens switching detection effect, and achieve the effect of increasing the difference and improving the effect.

Inactive Publication Date: 2019-09-13
SHENZHEN ACAD OF AEROSPACE TECH
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have high detection accuracy for shot cuts in different scenes, but poor detection results for shot cuts in the same scene
In addition, the detection accuracy of the above method for progressive lens is also low, so it is necessary to improve the accuracy of lens segmentation

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 shot segmentation method and system
  • Video shot segmentation method and system
  • Video shot segmentation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] The purpose of the present invention is to provide a method and system for video shot segmentation, and at the same time improve the accuracy rate of sudden shot and gradual shot detection.

[0054] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] figure...

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 video shot segmentation method and system. The method comprises the steps of obtaining all images in a video and converting the images into HSV images; partitioning the HSV image into blocks; calculating the color histogram difference of the blocks of two adjacent frames of images on an HSV single channel; calculating the average color difference of the blocks of two adjacent frames of images on the HSV channel; calculating the color histogram difference of two adjacent frames of images; judging whether the color histogram difference of the two adjacent frames of images is greater than or equal to a set abrupt change threshold value or not, if the color histogram difference of the two adjacent frames of images is greater than or equal to the set abrupt change threshold value, judging as an abrupt change lens, and segmenting the previous frame of image and the next frame of image of the abrupt change lens; and if the color histogram difference between the two adjacent frames of images is greater than or equal to a set gradual change threshold value, determining that the shot is a gradual change shot, and continuously detecting the remaining images until allframes in the video are detected. Accuracy of detecting the abrupt change lens and the gradual change lens can be improved at the same time.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a video shot segmentation method and system Background technique [0002] The task of shot segmentation is to divide a complete video into fragments in units of shots. There are two types of sudden shots and gradual shots: sudden shots mean that there is no obvious transition between two discontinuous frames; and gradual shots refer to The most important thing is that there are transition forms such as fade in, fade out, and dissolve between two discontinuous frames. The common shot segmentation method is mainly based on the difference value between two adjacent frames for discrimination. On this basis, various shot segmentation methods have evolved, such as using multi-feature fusion methods for video shot segmentation, using matrix cosine similarity methods, frame transition parameters and frame estimation errors based on local features, and shot segmentation algorithms...

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): G06K9/00G06K9/38G06K9/46
CPCG06V20/49G06V10/28G06V10/50G06V10/56
Inventor 李海峰马琳娄久邵晨智薄洪健丰上陈婧徐聪李洪伟房春英王子豪孙聪珊丁施航
Owner SHENZHEN ACAD OF AEROSPACE TECH
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