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

Video retrieval method and video retrieval system

A retrieval system and video technology, applied in the multimedia field, can solve problems such as difficulty in finding parts of interest, and achieve the effect of improving efficiency

Inactive Publication Date: 2014-04-30
CHINA AGRI UNIV
View PDF2 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a video retrieval method and system to solve the technical problem in the prior art that it is difficult to find the part of interest

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 retrieval method and video retrieval system
  • Video retrieval method and video retrieval system
  • Video retrieval method and video retrieval system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1 of the present invention provides a video retrieval method, see figure 1 ,include:

[0048] Step 101: Dividing the video into multiple video segments with independent content;

[0049] Step 102: Obtain the keywords of the video;

[0050] Step 103: Carry out text labeling to each video segment according to the subject words, make the video abstract of each video segment, construct the semantic content index of video according to described text labeling and video summary, browse quickly and according to described semantic content index Retrieve video content.

[0051] It can be seen that in a video retrieval method proposed in the embodiment of the present invention, the video can be divided into multiple video segments with relatively independent content, and the subject words of the video can be obtained. Semantic content index, so that users can quickly preview video content, locate the information they are interested in, and improve the efficiency of u...

Embodiment 2

[0057] Embodiment 2 of the present invention provides a content-based fast retrieval method for nutrition and health videos, see figure 2, the method includes:

[0058] Step 201: Divide the input nutrition and health video file into multiple video clips with independent content.

[0059] In this step, the edge of the shot can be detected by the shot edge detection technology, such as the color histogram method, the absolute frame difference method, the image pixel difference method, etc., and the edge between adjacent shots can be obtained as the basis for shot segmentation. Specifically: First, extract the visual features of the video, such as color histograms, pixel blocks, etc.; then, select a calculation method to measure the similarity between adjacent frames, such as calculating the histogram difference or similarity between two adjacent frames of images. The similarity of two adjacent frames is measured by the pixel difference of two adjacent frames of images; finally...

Embodiment 3

[0079] Embodiment 3 of the present invention provides a video retrieval system, see image 3 , comprising: a video structuring module 301, a video content keyword extraction module 302 and a video semantic index automatic generation module 303, wherein:

[0080] A video structuring module 301, configured to divide the video into multiple content-independent video segments;

[0081] Video content keyword extraction module 302, for obtaining the keyword of described video;

[0082] Video semantic index automatic generation module 303, is used for carrying out text annotation to each video clip according to described subject words, makes the video abstract of each video clip, builds the semantic content index of video according to described text annotation and video abstract, according to the Quickly browse and retrieve video content using Semantic Content Indexing.

[0083] Preferably, the video structuring module 301 may include: a video visual feature extraction module 401, ...

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 retrieval method and a video retrieval system. The method includes: segmenting a video into a plurality of video clips with independent contents; obtaining a subject term of the video; subjecting each video clip to text labeling according to the subject term, making a video abstract of each video clip, setting up a semantic content index of the video according to the text label and the video abstract, and quickly browsing and retrieving the video content according to the semantic content index. By means of the video retrieval method and the video retrieval system, the video can be segmented into the plurality of video clips relatively independent in content to obtain the subject term of each video clip, the video is structured on basis of the subject terms, and the semantic content index of the video is set up, so that users can conveniently and quickly preview the video content to position interesting information, and user browsing and retrieving efficiency is improved.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a video retrieval method and system. Background technique [0002] my country's rural medical conditions and facilities are weak, and the pace of medical and health construction is relatively lagging behind. Due to the relatively backward economy and low level of science and culture, rural residents generally lack medical and nutritional health awareness, which is not conducive to the nutrition, health care and disease prevention of the masses. , especially vulnerable groups such as women, children and the elderly lack basic nutrition knowledge and health care technology, and their nutrition and health levels are seriously behind developed regions. [0003] In order to popularize the knowledge of nutrition, health care and prevention, diagnosis and treatment of common diseases, we can improve people's awareness of nutrition and health and reduce malnutrition to the greatest ex...

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): G06F17/30
CPCG06F16/739G06F16/745G06F16/7867
Inventor 杨颖高万林陈瑛
Owner CHINA AGRI 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