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

A Fast Feature Extraction System Based on Massive Video

A feature extraction and mass technology, applied in the field of fast feature extraction systems, can solve the problems of low analysis rate and high server cost, and achieve the effects of fast analysis, adaptive load balancing, and load balancing.

Active Publication Date: 2018-07-24
武汉众智数字技术有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a fast feature extraction system based on massive video to solve the problems of low analysis rate and high server cost in the prior art

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
  • A Fast Feature Extraction System Based on Massive Video
  • A Fast Feature Extraction System Based on Massive Video
  • A Fast Feature Extraction System Based on Massive Video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0035] Such as figure 1 Shown is a schematic structural diagram of a fast feature extraction system based on massive video provided by the present invention. The system includes: massive video analysis depth application module A, massive video analysis application service module B, massive video source module C, video big Data processing module D and basic resource module E.

[0036] Massive video analysis deep application module A provides users with fast feature extr...

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 present invention is applicable to the technical field of video monitoring, and provides a fast feature extraction system based on massive video, including: massive video analysis depth application module A, massive video analysis application service module B, massive video source module C, and video big data processing Module D and Basic Resource Module E. The video big data processing module D includes an algorithm control module F, a task segmentation module G, an algorithm injection module H, a task scheduling module I and a data storage K. After receiving the job task, the video big data processing module D calls the task segmentation module G according to the video source information to segment the job and package it into small tasks; through the task scheduling module I, the small tasks are sent to each cluster analysis node, and the analysis node The video slice is analyzed through the algorithm control module F and the algorithm injection module H; the cost and bandwidth requirements are greatly reduced by deploying multiple relatively low-performance servers for distributed processing.

Description

technical field [0001] The invention belongs to the technical field of video surveillance and relates to a fast feature extraction system based on massive videos. Background technique [0002] Video surveillance has been widely used in many fields such as safe cities and intelligent transportation. The video surveillance market is growing every year. Front-end cameras are constantly being laid, and massive video data generated are stored in disks. [0003] When video resources need to be retrieved, fast feature extraction of massive videos is required. With the development of information technology, massive video information extraction has gradually become a hot demand. In the prior art, video feature extraction mostly uses a single server for processing, but with the increase of video data volume for feature extraction, fast feature extraction of massive video requires high server performance and network bandwidth, and the analysis rate is not satisfactory . Contents of ...

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): G06F17/30
Inventor 杨凡杨波贺波涛
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