Image Retrieval System Using Intuitive Descriptors

Joshi, Keyur D.; Bhavsar, Sanket N.; Sanghvi, Rajesh Chandrakant

doi:10.1016/j.protcy.2014.08.068

“…Existing trademark search methods [4,5,6,7,8,9,10,11] have achieved high accuracy in similar trademark search work. However, news reports [15] [16] show that the confusion caused by optical illusion does affect the possibility of customers recognizing the wrong trademark and affecting the reputation and interests of trademark holders.…”

Section: Training and Testing Data Generation Pre-processingmentioning

confidence: 99%

“…In recent year, some methods have extracted high-frequency shape features to find similar trademark through Euclidean distance [4,5]. In addition to high-frequency shape features, there is also a method for searching and matching images by using the intuitive results of image binarization as features as in work [6]. In searching for similar shapes, work [7] regards high-frequency features as sketched images, and then uses the combination of grids as features to search for related images.…”

Section: Introductionmentioning

confidence: 99%

Trademark Background Analysis Method Based on Human Cognition of Visual Psychology

Hung

¹

,

Chen

²

,

Chen

³

2020

Preprint

0

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Trademark is a symbol that can be seen everywhere in life. In the case of effective use of trademark, people can quickly identify the organization, its image and reputation, so that the trademark owner can obtain resources for maintenance and development. However, there are unfair competitors in the market that would imitate similar trademarks to steal or damage the reputation and interests of the original trademark owners. Failure of preventing counterfeit trademarks from affecting the interests of others will make developers hard to develop novel technologies that contribute to the progress of the country and society due to insufficient or scarce resources. In the past research in this field,many studies have proposed protection methods for protecting trademark interests. These related studies have obtained excellent results in the search and analysis of trademarks. Nevertheless, some unfair competitors use the human cognition of visual psychology in the human vision system (HVS) to circumvent similar methods of trademark images to steal or damage the credit and interests of the original trademark owners. In order to deter unfair competitors or the abuse of such confusing trademarks, this article proposes a method for trademark background analysis. This article also proposes a method to generate a large amount of background trademark data. Then, we use that large amount of generated data for training neural networks that can analyze trademarks that are easily confused due to background. Eventually, we use the testing independent data for system verification. This experiment uses two common deep learning network architecture for testing. The experimental results show that the proposed system can achieve a true positive rate (TPR) over 98% in the face of this confusing trademark plagiarism method. And the comparison result is better than existing methods. This result confirms that the system proposed in this article can prevent infringement problems that used background.

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“…In related works of searching for trademarks using digital images, a common method was to extract features from the high-frequency images and then find the nearest trademark through the distance between the features [6,7]. In addition, there are also methods to directly use the binarized image as a feature to perform image matching search [8]. Meenalochini et al [9] proposed the use of perceptual hashing algorithm to search for similar images.…”

Section: Introductionmentioning

confidence: 99%

Trademark infringement recognition assistance system based on human visual Gestalt psychology and trademark design

Hung

¹

,

Chen²,

Chen³

2021

J Image Video Proc.

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Trademarks are common graphic signs in human society. People used this kind of graphic sign to distinguish the signs of representative significance such as individuals, organizations, countries, and groups. Under effective use, these graphic signs can bring maintenance and development resources and profits to the owner. In addition to maintenance and development, organizations that have obtained resources can further promote national and social progress. However, the benefits of these resources have also attracted the attention of unfair competitors. By imitating counterfeit trademarks that appear, unfair competitors can steal the resources of the original trademark. In order to prevent such acts of unfair competitors, the state has formulated laws to protect trademarks. In the past, there have also been researches on similar trademark searches to assist in trademark protection. Although the original trademark is protected by national laws, unfair competitors have recently used psychological methods to counterfeit the original trademark and steal its resources. Trademarks counterfeited through psychology have the characteristics of confuse consumers and do not constitute infringement under the law. Under the influence of such counterfeit trademarks, the original trademark is still not well protected. In order to effectively prevent such trademark counterfeiting through psychology, this article proposes new features based on trademark design and Gestalt psychology to assist legal judgments. These features correspond to a part of the process that is not fully understood in the human visual system and quantify them. In the experimental results, we used past cases to analyze the proposed assistance system. Discussions based on past judgments proved that the quantitative results of the proposed system are similar to the plaintiff or the judgment to determine the reasons for plagiarism. This result shows that the assistance system proposed in this article can provide visually effective quantitative data, assist the law to prevent malicious plagiarism on images by unfair competitors, and reduce the plagiarism caused by the similar design concepts of late trademark designers.

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“…In related works of searching for trademarks using digital images, a common method was to extract features from the high-frequency images, and then find the nearest trademark through the distance between the features [5,6]. In addition, there are also methods to directly use the binarized image as a [width = 3.5cm]fig01a.pdf feature to perform image matching search [7]. Meenalochini et al [8] proposed the use of perceptual hashing algorithm to search for similar images.…”

Section: Introductionmentioning

confidence: 99%

Trademark Infringement Recognition Assistance System based on Human Visual Gestalt Psychology and Trademark Design

Hung

¹

,

Chen

²

,

Chen

³

2021

Preprint

0

View full text Add to dashboard Cite

Trademarks are common graphic signs in human society. People used this kind of graphic sign to distinguish the signs of representative significance such as individuals, organizations, countries, and groups. Under effective use, these graphic signs can bring maintenance and development resources and profits to the owner. In addition to maintenance and development, organizations that have obtained resources can further promote national and social progress. However, the benefits of these resources have also attracted the attention of unfair competitors. By imitating counterfeit trademarks that appear, unfair competitors can steal the resources of the original trademark. In order to prevent such acts of unfair competitors, the state has formulated laws to protect trademarks. In the past, there have also been researches on similar trademark searches to assist in trademark protection. Although the original trademark is protected by national laws, unfair competitors have recently used psychological methods to counterfeit the original trademark and steal its resources. Trademarks counterfeited through psychology have the characteristics of confuse consumers and do not constitute infringement under the law. Under the influence of such counterfeit trademarks, the original trademark is still not well protected. In order to effectively prevent such trademark counterfeiting through psychology, this article proposes new features based on trademark design and Gestalt psychology to assist legal judgments. These features correspond to a part of the process that is not fully understood in the human visual system and quantify them. In the experimental results, we used past cases to analyze the proposed assistance system. Discussions based on past judgments proved that the quantitative results of the proposed system are similar to the plaintiff or the judgment to determine the reasons for plagiarism. This result shows that the assistance system proposed in this article can provide visually effective quantitative data, assist the law to prevent malicious plagiarism on images by unfair competitors, and reduce the plagiarism caused by the similar design concepts of late trademark designers.

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Image Retrieval System Using Intuitive Descriptors

Cited by 7 publications

References 10 publications

Trademark Background Analysis Method Based on Human Cognition of Visual Psychology

Trademark Background Analysis Method Based on Human Cognition of Visual Psychology

Trademark infringement recognition assistance system based on human visual Gestalt psychology and trademark design

Trademark Infringement Recognition Assistance System based on Human Visual Gestalt Psychology and Trademark Design

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