Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

HSV color histogram and DCT perceptual hash based lens boundary detection method

A shot boundary detection and color histogram technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of low accuracy and recall rate, sensitivity to illumination changes, etc., to improve accuracy and flexible algorithm high performance and improved accuracy

Active Publication Date: 2017-02-15
JIANGSU YITONG HIGH TECH +1
View PDF7 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of common problems in the current shot boundary detection, and propose a shot boundary detection method based on HSV color histogram and DCT perceptual hash, which solves the problem of the existing video shot boundary detection algorithm The problem of sensitivity to changes, low accuracy and recall rate has improved the detection accuracy and recall rate for video data with different structures, and the applicability has been improved to a certain extent

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
  • HSV color histogram and DCT perceptual hash based lens boundary detection method
  • HSV color histogram and DCT perceptual hash based lens boundary detection method
  • HSV color histogram and DCT perceptual hash based lens boundary detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with specific embodiments.

[0047] Such as figure 1 As shown, the video shot boundary detection method of the present invention comprises the following steps:

[0048] 1) Read the video sequence M to obtain the RGB information matrix of each frame of image. Since the HSV color model is more intuitive and more in line with the visual experience of the human eye, the HSV color information matrix of the image frame is obtained through the following conversion formula:

[0049]

[0050]

[0051]

[0052] Among them, R, G, and B respectively represent the red, green, and blue color components of the image pixel, and H, S, and V represent the hue, saturation, and brightness component values ​​​​of the HSV color space, and the value range is [0,1] .

[0053] 2) Data quantization and compression. Multimedia video data is famous for its huge amount of data. In the process of analyzing video data...

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 an HSV color histogram and DCT perceptual Hash based lens boundary detection method. The HSV color histogram and DCT perceptual Hash based lens boundary detection method comprises a first step of calculating a histogram difference degree between two adjacent frames of images by using the HSV color space based histogram statistic method; a second step of judging the difference degree between the two adjacent frames by adopting a adaptive threshold value, and judging the place between the two adjacent frames is the lens boundary if the difference degree is greater than the threshold value; and a third step of rechecking an early detection result by adopting a DCT based perceptual Hash algorithm and obtaining a final video lens boundary set. Through the early detection of the HSV color histogram and the DCT perceptual Hash algorithm based rechecking, the lens boundary position in a video frame sequence is detected efficiently and accurately, and a firm foundation for the structural analysis of the multimedia video data is accordingly laid.

Description

technical field [0001] The invention relates to the field of video content analysis, and specifically designs a shot boundary detection method based on an HSV color histogram and a DCT perceptual hash algorithm. Background technique [0002] With the development of computer, communication and multimedia technology, the data volume of multimedia video data is growing in a blowout style. At the same time, traditional video analysis methods cannot adapt to the continuous growth of data volume and the increasingly complex structure of video data. In order to store, manage and analyze video data more effectively, a content-based video analysis and retrieval technology is proposed, in which video shot boundary detection is the basis of video analysis and retrieval. Video data is composed of a series of image frames of the same size and continuous in time. The video structure can be divided into video sequences, scenes, shots and image frames from large to small. Shot is the basic...

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): H04N21/234H04N21/44
CPCH04N21/23418H04N21/44008
Inventor 张登银孙彬王振洪陈小星刑铁燕
Owner JIANGSU YITONG HIGH TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com