A method for trademark graphic retrieval

A trademark and graphics technology, applied in digital data information retrieval, instruments, calculations, etc., to achieve the effect of novel methods, practical functions, and improved accuracy

Active Publication Date: 2022-04-29
南昌奇眸科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Now people study how to use computers and other electronic devices to search and match trademarks has become a hot issue in this field. People continue to try various computer algorithms and multimedia technologies to automatically retrieve trademark graphics. In the link of feature extraction and comparison A lot of experiments and improvements have been done, but there is room for improvement in the pre-processing and post-result output links. Good pre-processing can often effectively reduce the amount of calculations, save costs and improve robustness, while the post-result output links often Means a huge increase in accuracy

Method used

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  • A method for trademark graphic retrieval
  • A method for trademark graphic retrieval
  • A method for trademark graphic retrieval

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] as attached figure 1 As shown, a trademark graphic retrieval method in this embodiment includes:

[0036] S101, input the picture to be checked and the commodity category information, and establish or retrieve the corresponding trademark graphic database;

[0037] S102, performing preprocessing on the image to be inspected to form an image of the trademark to be inspected;

[0038] S103, performing feature extraction on the image of the trademark to be inspected and the trademark in the trademark graphic database;

[0039] S104, performing feature matching on the features extracted in S103 and the features extracted in the trademark graphic database, to obtain a set of similar matching pairs;

[0040] S105, filter the matching pairs in S104, and sort the filtered results according to the order of similarity from high to low, and obtain the initial result image sequence {S 0}=[I 01 , I 02 ,...,I 0k ,...];

[0041] S106, take the first k pictures of the primary res...

Embodiment 2

[0047] In this embodiment 2, on the basis of embodiment 1, in the step S105, screening is performed based on the RANSAC algorithm to eliminate the wrong matching pairs, which helps to reduce the amount of redundant calculations caused by the wrong matching pairs, thereby improving efficiency and improving accuracy.

Embodiment 3

[0049] This embodiment 3 makes changes on the basis of embodiment 2. For the initial result picture sequence, the following methods are specifically adopted to obtain:

[0050] At first, in S101, set up the database D={D that comprises N trademark images 1 ,D 2 ,...,D N}, input the trademark Q to be searched.

[0051] Then, multi-scale feature extraction is performed in S103,

[0052] 1. Customize the specifications and sliding steps of the multi-scale sliding window: set the input image I w×h , the multiple scale definitions of the sliding window are attached figure 2 , (in this example, σ 1 = 0.8, σ 2 =0.6,σ 3 =0.4), the sliding step size parameter μ (in this embodiment, μ gets 0.1), the sliding window horizontal step size step x =hμ, vertical step size step y = hμ.

[0053] 2. According to the size of the multi-scale sliding window defined above, each sliding window is represented by image I w×h The upper left corner is the starting point, follow the sliding ste...

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PUM

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Abstract

The invention discloses a trademark graphic retrieval method. Firstly, the accurate primary sorting result is obtained according to feature extraction and matching methods combined in multiple ways, and then the primary sorting result is searched twice or even multiple times, and then according to the secondary or even multiple The collection generated by retrieval is finally sorted. This method combines the sorting results of multiple retrievals of related images. Images with more occurrences have higher weights, and images with higher rankings have higher weights, which fully explores the relationship between images. The correlation among them greatly improves the accuracy of judging the similarity of trademark graphics; the trademark graphic database in step S101 is set to include at least all registered commodities of the same and / or similar commodity category as the trademark picture to be checked. Not only can it meet the needs of retrieving trademark similarity, but it can also effectively reduce the size of the database and the amount of calculation, save costs and improve efficiency.

Description

technical field [0001] The invention belongs to the technical field of trademark retrieval, and in particular relates to a trademark graphic retrieval method. Background technique [0002] Trademarks are an indispensable factor in the commercial economy. The annual number of trademark applications reaches one million levels, and the trademark data reaches tens of millions. For such a large number of groups, if people judge or examine whether two trademarks are similar and how similar they are When it comes to judgment, it is all judged by human eyes and subjective consciousness. There is a lot of room for improvement and improvement in terms of the operation cycle and the objective stability of the results. [0003] Now people study how to use computers and other electronic devices to search and match trademarks has become a hot issue in this field. People continue to try various computer algorithms and multimedia technologies to automatically retrieve trademark graphics. In...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/583G06V10/50G06V10/75G06K9/62
CPCG06V10/507G06V10/754
Inventor 樊晓东李建圃
Owner 南昌奇眸科技有限公司
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