Unlock instant, AI-driven research and patent intelligence for your innovation.

GPU parallel operation-based image search system and method

A picture and picture library technology, applied in the field of big data retrieval, can solve the problems of poor time efficiency of search technology, achieve the effect of minimizing data transmission time and response time, enhancing user experience, and improving utilization rate

Active Publication Date: 2019-12-31
北京睿企信息科技有限公司 +1
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Users often need to search for clues such as pictures and photos in their daily work, but it is a technical challenge to search for pictures in massive databases, and the time efficiency of existing search technologies is relatively poor, and the time for a single search often takes More than ten seconds or even tens of seconds

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
  • GPU parallel operation-based image search system and method
  • GPU parallel operation-based image search system and method
  • GPU parallel operation-based image search system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0039] Such as figure 1 As shown, according to the embodiment of the present invention, a system for searching images by images based on GPU parallel computing, a system for searching images by images based on parallel computing by GPUs, includes: an image upload module for uploading images to be searched into the system; the target detection module is used to detect and segment the uploaded pictures; the feature extraction module is used to extract the features of the pictures to be searched...

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 relates to a GPU parallel operation-based image search system and method. The system comprises an image uploading module, a target detection module, a feature extraction module, a clustering index module, a three-level cache module and a parallel retrieval module. Based on massive picture data, a feature extraction algorithm and a clustering algorithm are used for clustering and carding the data to establish an index, and a high-speed picture search function is provided for a user through a high-speed search algorithm based on parallel operation, so that within-second search of hundreds of billion picture data is realized.

Description

technical field [0001] The invention relates to the field of big data retrieval, in particular to a system and method for searching images by images based on GPU parallel operation. Background technique [0002] Users often need to search for clues such as pictures and photos in their daily work, but it is a technical challenge to search for pictures in massive databases, and the time efficiency of existing search technologies is relatively poor, and the time for a single search often takes More than ten seconds or even tens of seconds. When users search for images and videos, they usually need to search multiple times, and the response speed of the search becomes an important factor affecting the efficiency. In this context, it is necessary to be equipped with an image search system that integrates artificial intelligence algorithms such as target detection and feature extraction, and high-speed retrieval technology based on graphics computing unit (hereinafter referred to...

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): G06F16/51G06F16/55G06F16/583
CPCG06F16/51G06F16/55G06F16/583Y02D10/00
Inventor 徐英浩于伟
Owner 北京睿企信息科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com