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

Icon recognition method and related device

An icon and recognition result technology, applied in the field of icon recognition, can solve the problems of low accuracy and small adaptability

Active Publication Date: 2019-07-05
TENCENT TECH (SHENZHEN) CO LTD
View PDF9 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method based on OCR to recognize moving image logos has low accuracy and is not suitable for pure image dynamic logos, resulting in a small range of adaptation

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
  • Icon recognition method and related device
  • Icon recognition method and related device
  • Icon recognition method and related device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] The embodiment of the present application provides an icon recognition method and a related device. On the one hand, random sampling can be used to increase the diversity of icon background changes to achieve a better sampling effect. On the other hand, the fusion of multiple frames of video images can The dynamic icon becomes a relatively stable static icon, and then the static icon is recognized, which is applicable to the detection of the static icon and the dynamic icon, thereby improving the recognition accuracy.

[0098] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein, for example, can be practiced in seq...

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 icon recognition method. The method comprises the steps of acquiring P frames of to-be-detected images randomly from a to-be-detected video; carrying out edge detection on ato-be-detected image in the P frames of to-be-detected images to obtain a target edge detection image set, the target edge detection image set comprising M target edge detection images, and each target edge detection image being obtained by fusing P edge detection images; determining an icon area according to the target edge detection image set; determining an icon in the to-be-detected video according to the P frames of to-be-detected images and the icon area; and matching the icon with a preset icon set, and obtaining an icon recognition result of the to-be-detected video, the preset icon set comprising at least one preset icon. The invention further discloses the device. According to the method, the diversity of background changes of the station captions can be increased through randomsampling, a better sampling effect is achieved, the method is suitable for detecting the static station captions and the dynamic station captions, and therefore the recognition accuracy is improved.

Description

technical field [0001] The present application relates to the field of image processing, and in particular to an icon recognition method and a related device. Background technique [0002] With the influx of a large amount of video information into people's real life, video logo detection has become an effective means of video source analysis. The publisher of the video can be relatively easily determined through the logo of the video, and a specific program can be located through the logo of the program. These important semantic information are used to provide precise video search. In addition, by detecting the station logo in the video program, the advertisement segment can also be removed, thereby improving the viewability. In the field of video security, video logo detection technology can effectively determine the video source. [0003] Currently, a method based on Optical Character Recognition (OCR) can be used to detect and recognize the logo. When the user switch...

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): G06K9/00G06K9/32
CPCG06V20/40G06V20/62G06V20/635
Inventor 黎伟
Owner TENCENT TECH (SHENZHEN) CO LTD
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