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

Extraction method of news video summarization based on multi-feature fusion

A technology of multi-feature fusion and video summarization, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of unsatisfactory detection effect and single detection method, achieve great practical value and reduce the effect of problem analysis unit

Active Publication Date: 2018-10-23
SHANGHAI JIAOTONG UNIV +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It uses corner detection to identify the subject subtitle frame, but its detection method is too simple, and the final detection effect is not ideal

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
  • Extraction method of news video summarization based on multi-feature fusion
  • Extraction method of news video summarization based on multi-feature fusion
  • Extraction method of news video summarization based on multi-feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] 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 changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0062] The invention provides a multi-feature fusion news video summary extraction method. The invention first preprocesses the original news video, and obtains the basic processing unit of the news video by using shot segmentation and shot calibration. For static video summaries, corner detection, color filtering and morphological analysis are used for news basic processing units to detect topic subtitles, combined with face recognition and clustering to obtain news main character information, and fina...

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 multi-feature fusion video news abstract extraction method, and the method obtains a video news basic processing unit through the lens dividing and lens calibrating of original video news. The method comprises the steps: carrying out the theme caption detection of the video news basic processing unit in the static video abstract through corner detection, color filtering and morphological analysis, and obtaining news main figure information through face identification and clustering; carrying out the silencing analysis of the video news basic processing unit in a dynamic video abstract, and obtaining silencing segments; judging whether each silencing segment contains theme caption or not: adding the theme caption to a final abstract sequence if each silencing segment contains theme caption, and vice versa; and thereby obtaining meaningful high semantic dynamic and static video abstracts. The method can obtain the static abstract, and can flexibly browse and organize the video contents. The obtained dynamic abstract comprises abundant multimedia information, can clearly represent the contents of an original video, and is high in entertainment and ornamental values.

Description

technical field [0001] The invention relates to the field of video content understanding, in particular to a multi-feature fusion news video summary extraction method. Background technique [0002] News video is one of the main sources for people to obtain information. Its content covers all aspects of people's lives, including sports, entertainment, current events, etc. It has a wide audience and fast update speed, and plays an indispensable role in daily life. Facing a huge library of news videos, how to efficiently organize and browse news videos, and how to effectively filter and locate the most suitable and accurate news content is an urgent problem to be solved in the field of news video content understanding at this stage. [0003] News video abstracts can not only display the main content of news videos, help people quickly browse news content, but also serve the field of video retrieval with video annotation technology, which has high research value. However, due t...

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 Patents(China)
IPC IPC(8): H04N21/44H04N21/4728H04N21/845H04N21/8549
CPCH04N21/44008H04N21/4728H04N21/8456H04N21/8549
Inventor 蒋兴浩孙锬锋王娟姜华郁聪
Owner SHANGHAI JIAOTONG UNIV
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