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

Cloud scheduling system and method based on mass video structured processing

A video structure and cloud scheduling technology, applied in transmission systems, electrical components, etc., can solve the problem that the serial computing mode cannot adapt to meet the user's demand for timeliness of data analysis and retrieval, and achieve high efficiency, reliability, stability and flexibility. Expansion effect

Active Publication Date: 2016-09-28
武汉众智数字技术有限公司
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increase in the amount of video surveillance data, even for data analysis and retrieval of TB-level video content, it may take several hours to calculate using the serial computing mode, and the serial computing mode is far from being able to meet the needs of users. Timeliness Requirements for Data Analysis and Retrieval

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
  • Cloud scheduling system and method based on mass video structured processing
  • Cloud scheduling system and method based on mass video structured processing
  • Cloud scheduling system and method based on mass video structured processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to further clarify the technical problems faced by the embodiments of the present invention, the technical solutions used and the existing technical advantages, the following will be described in detail in conjunction with the accompanying drawings and specific embodiments.

[0026] The embodiment of the present invention aims at the problem that the relevant equipment of a single node in the existing video processing technology cannot meet the processing requirements of massive video surveillance data, and further provides a cloud scheduling system based on the structured processing of massive video to solve how to improve the quality of massive video The issue of timeliness and stability when dealing with it.

[0027] Such as figure 1 As shown, it is a schematic structural diagram of a cloud scheduling system based on massive video structured processing provided by an embodiment of the present invention. refer to figure 1 , the application of the present in...

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 cloud scheduling system based on mass video structured processing. The cloud scheduling system comprises a cloud scheduling management module and a plurality of analysis modules, wherein the cloud scheduling management module conducts logic cutting for massive videos upon reception of tasks, and allocates the massive video subjected to logic cut to the analyzing node of each analysis module according to the load capability of each analysis module. Certain cloud scheduling mechanism is combined with data intelligent cutting and analyzing technology to effectively improve the time-effectiveness and stability of massive video processing.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a cloud scheduling system and method based on massive video structured processing. Background technique [0002] Big data, or huge amount of data, massive data, and big data, refers to the amount of data involved is so large that it cannot be intercepted, managed, processed, and organized into information that humans can interpret within a reasonable time. . The explosive growth of video surveillance data in contemporary society means that more resources and labor are needed to find valuable information in the huge amount of data. At present, major manufacturers have also found that the related equipment of a single node cannot meet the processing requirements of massive video surveillance data, nor can it keep up with the growth rate of video surveillance data. In the field of video surveillance, the efficiency of video analysis often determines its value. Lower latency and mor...

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 Applications(China)
IPC IPC(8): H04L29/08
Inventor 郭碧串志强徐远翔
Owner 武汉众智数字技术有限公司
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