Video content quick retrieving method based on object tag

A video content and video technology, which is applied in the field of data modeling technology, can solve the problems of time bottleneck and difficult to meet the needs of fine-grained video content retrieval, and achieve the effect of fast retrieval speed, convenient finding of illegal vehicles, and small amount of stored data

Active Publication Date: 2011-10-05
SOUTH CHINA UNIV OF TECH
View PDF2 Cites 124 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The object retrieved by this type of technology belongs to the coarse-grained content of the video, and it is difficult to meet the needs of many fine-grained video content retrieval, such as retrieving suspect

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 content quick retrieving method based on object tag
  • Video content quick retrieving method based on object tag
  • Video content quick retrieving method based on object tag

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation and protection scope of the present invention are not limited thereto.

[0042] The fast retrieval method of video content based on object tags includes four parts: video feature information extraction and analysis, type learning and training, construction of retrieval response server, and video content retrieval. figure 1 It is a flowchart of a method for fast retrieval of video content based on object tags, and the specific process is as follows:

[0043] (1) The user selects pictures of known categories and uploads them; the pictures of known categories include: pictures of pedestrians, bicycles, cars and buses used to train contour classifiers; pictures of roads used to train scene classifiers and pictures of the beach;

[0044] (2) For each picture uploaded by the user, use background modeling to extract and analyze feat...

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 content quick retrieving method based on an object tag. The method comprises the following steps: extracting and analyzing the color feature, contour feature, scene feature and character feature of a moving object in each image frame of a video; processing a plurality of pictures of known types by using the feature extraction method, and training a contour classifier and a scene classifier by using the contour features and scene features of the pictures; processing a video to be retrieved by using the feature extraction and analysis method and the classifiers soas to generate type tags of objects in each image frame of the video, wherein the type tags are used for constructing an object tag database; and retrieving a response server to search the object tagdatabase to find videos related to a query request submitted by a user, and generating an ordered result for the user to browse and refer. The method provided by the invention can be used for retrieving the video content at a speed similar to that of the conventional text retrieval only by searching the object tag database and achieving the fine granularity retrieval of the video content, so thatthe method is more accurate than the conventional method.

Description

technical field [0001] The invention relates to computer image processing technology and video information processing technology, specifically including feature extraction, analysis, identification and data modeling technology of video, color, geometric ratio, subtitle, object type and scene. Background technique [0002] Video data acquisition terminal equipment such as cameras and video surveillance machines have been widely used in many fields such as national defense projects, urban security, public safety, traffic management, and home life. According to incomplete statistics, there are tens of thousands of surveillance cameras and video cameras used in general modern cities in China, and the number is doubled and replaced every year. Corresponding to such a large number of video devices is a massive amount of video data, such as surveillance videos of military management areas, community security surveillance videos, collection videos of public security investigations, ...

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): G06F17/30G06K9/20G06K9/62
Inventor 黄翰郝志峰蔡昭权秦勇杨忠明马献恒鲁梦平
Owner SOUTH CHINA UNIV OF TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap