Video static logo detecting method based on local feature description

A technology of local features and detection methods, applied in the field of image processing, can solve the problems of compensating for image Logo fragmentation, wrong motion vector, influence, etc., to achieve the effect of improving image quality, avoiding fragmentation and accurate detection

Inactive Publication Date: 2015-07-15
宏祐图像科技(上海)有限公司
View PDF14 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The application of MEMC technology has greatly improved the viewing experience, but the algorithm has limitations in many scenarios, and the motion search cannot find the correct motion vector, such as complex motion, small object motion, Logo protection, etc.
Among them, the Logo is still and is easily affected by the vector of the moving background, and converges to the wrong motion vector, causing the compensation image to be broken at the Logo
[0003] The existing technical implementation is to adjust the motion estimation strategy at the Logo as much as possible to converge to the correct vector, but this method cannot achieve obvious effects on most logos, and it is difficult to protect the logo

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 static logo detecting method based on local feature description

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0031] Such as figure 1 As shown, the candidate motion vector ranking method of motion estimation in the frame rate conversion provided by the present invention includes the following steps:

[0032] 1), first divide the image into blocks, and detect the logo based on the blocks;

[0033] 2), the logo is a static and stable logo with a specific shape, and the local features of each block are calculated. The logo should be highly similar to the local feature descriptors at the same position in con...

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 provides a video static logo detecting method based on local feature description. The video static logo detecting method includes the following steps: (1) an image is divided into blocks for logo detecting protection; (2) local features of the blocks are calculated, local feature descriptors of the blocks at the same positions of a front frame and a back frame are compared, and it is more likely to be detected to be local feature similar blocks if the similarity is higher; (3) single-frame similarity results of the blocks are accumulated on a timer shaft, and it is considered that a macro block is a logo after a certain threshold is reached. By means of the video static logo detecting method, the logo in a video sequence can be effectively detected, then the logo can be protected in a motion estimation and motion compensation module, and interpolation frame logo breaking is avoided.

Description

technical field [0001] The present invention relates to image processing technology, and more specifically, relates to a video still logo detection method based on local feature description. Background technique [0002] In recent years, liquid crystal displays have been widely used, and traditional CRT TVs have been replaced. However, due to the display characteristics of liquid crystal molecules, there is a phenomenon of screen tailing when watching TV on an LCD screen. If the refresh rate is not enough, some screens will still see obvious motion jitter. One of the common methods to solve jitter and smearing is to increase the frame rate, and motion estimation and motion compensation (MEMC) technology is generally used at present. The application of MEMC technology has greatly improved the viewing experience, but the algorithm has limitations in many scenarios, and the motion search cannot find the correct motion vector, such as complex motion, small object motion, Logo pr...

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): H04N17/00H04N19/51H04N19/513
Inventor 姜建德查林余横马琰
Owner 宏祐图像科技(上海)有限公司
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