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

Method for realizing subtitle overlay screenshot based on deep learning

A technology of deep learning and implementation method, applied in the media field, can solve the problems of low accuracy rate, low automation degree of subtitle overlay and screenshot, and achieve the effect of high accuracy rate, intelligent and efficient processing method, and improved accuracy

Active Publication Date: 2018-07-31
CHENGDU SOBEY DIGITAL TECH CO LTD
View PDF10 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a method for implementing subtitle superimposed screenshots based on deep learning, which solves the current technical problems of low automation and low accuracy in generating subtitle superimposed screenshots

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
  • Method for realizing subtitle overlay screenshot based on deep learning
  • Method for realizing subtitle overlay screenshot based on deep learning
  • Method for realizing subtitle overlay screenshot based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0064] Step 1: Select the video section of the subtitle superimposed screenshot on the video, that is, select the in point on the video as the start frame of the video section, and select the out point as the end frame of the video section; and frame a subtitle slightly larger than the conventional one The area of ​​the position is used as the initial area of ​​the subtitle, which can reduce the interference of the picture on the subsequent processing and improve the efficiency of the subsequent processing.

[0065] Step 2: Locate and cut out subtitles (such as figure 2 shown);

[0066] S21: Construct a convolutional neural network using the regularity of the subtitle pattern and the stability of the subtitle position in the video, and use the initial area of ​​the subtitle framed on each frame of the video interval for training to obtain all frame images of the video interval The coordinate parameters of the top (Top) and bottom (Down) of the upper subtitle;

[0067] S22: ...

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 method for realizing subtitle overlay screenshot based on deep learning, and belongs to the field of media technology. The method comprises the following steps: selecting a video interval for subtitle overlay screenshot from a video; locating and cutting out subtitles on each frame of image in the video interval; segmenting all subtitles and extracting key frames in eachsubtitle; performing similarity calculation on the key frames, and performing comparative duplication elimination according to a calculation result to obtain final subtitles; and stitching a first frame of picture in the video interval with the final subtitles in sequence to obtain a subtitle overlay screenshot. The method is low in error rate, high in processing efficiency and high in automationdegree.

Description

technical field [0001] The present invention relates to the field of media technology, in particular to a method for implementing subtitle superimposed screenshots based on deep learning. Background technique [0002] Since the 21st century, the advantages of convenient and efficient access to information and a wide range of information dissemination through the Internet have made the Internet spread to every corner of China like mushrooms after rain. At the same time, the rapid development of the mobile phone industry has also made it into thousands of households. Now people use mobile terminals to surf the Internet has become a new normal life, so the radio and television media industry has a strong demand to occupy the Internet, which is the public opinion position. [0003] Presentation methods of news information on the Internet are highly diversified, including GIF animations, short videos, and subtitle superimposed screenshots, among which subtitle superimposed screen...

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): H04N21/431H04N21/435H04N21/488H04N21/845
CPCH04N21/4314H04N21/4355H04N21/4884H04N21/8456
Inventor 王炜谢超平陈晓军罗天杨益红罗明利
Owner CHENGDU SOBEY DIGITAL TECH 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