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

Advertisement sequence image fast retrieval and analysis method

A technology of image sequence and analysis method, which is applied in the field of image matching and retrieval, can solve problems such as low computational complexity and decreased accuracy rate, and achieve the effects of good robustness, improved accuracy, improved speed and correct rate

Active Publication Date: 2016-11-02
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The computational complexity of HOG is low, and it has a good recognition ability for simple objects in the image, but the accuracy rate drops significantly when dealing with complex objects.

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
  • Advertisement sequence image fast retrieval and analysis method
  • Advertisement sequence image fast retrieval and analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in detail below with reference to the drawings and embodiments. The implementation of the method of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention, and do not limit the present invention.

[0042] figure 1 It is a flowchart of a method for searching and analyzing advertisement sequence images in a specific embodiment of the present invention, which specifically includes the following steps:

[0043] Step 1: The classification of the image in the advertisement database mainly includes extracting the edge information of the image, determining the central area (rectangle) of the image content, calculating the edge ratio between the central area and the non-central area, and dividing the image into LOGO using the method of decision classification tree And scene image.

...

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 discloses an advertisement sequence image fast retrieval and analysis method comprising the following steps: using image complexity characteristics and a decision classification tree method to divide an advertisement image database into LOGO and scene images; extracting and storing HOG characteristics and SIFT characteristics of images in the advertisement database; extracting HOG characteristics and SIFT characteristics of a to-be-coupled image, calculating HOG characteristic vector Euclidean distances between the to-be-coupled image and all images of same type in the advertisement database, ranking the Euclidean distances from small to big, and screening the front S candidate images; calculating SIFT characteristic coupling point pairs between the to-be-coupled image and the S candidate images, and using the image with the most pairs as the image corresponding to the to-be-coupled image; calculating time length of each advertisement according to the to-be-coupled image of the advertisement sequence, thus obtaining advertisement playing information. The advertisement sequence image fast retrieval and analysis method can ensure coupling accuracy, can save calculating time, and can improve image retrieval efficiency.

Description

Technical field [0001] The invention belongs to the technical field of image matching and retrieval, and specifically relates to a method for fast retrieval and analysis of advertisement sequence images. Background technique [0002] At present, with the rapid development of social economy, advertising has become a very important means of commercial publicity and marketing. Companies and enterprises put a large number of advertisements on public media platforms such as TV and movies to obtain huge economic benefits. With the increase in the amount of advertisements played and the variety of advertisement categories, in order to monitor the playing of advertisements and obtain relevant data information, how to accurately and quickly retrieve advertisement fragments has become an urgent problem to be solved. At present, advertisement retrieval is mostly carried out manually, which is time-consuming and labor-intensive, especially for massive databases, the labor and time costs are ...

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): G06F17/30
CPCG06F16/583
Inventor 李慧琦汪淑梦康杰靓
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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