&lt;title&gt;Database architecture for content-based image retrieval&lt;/title&gt;

Kato, Toshikazu

doi:10.1117/12.58497

Cited by 226 publications

(104 citation statements)

References 3 publications

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“…The terminology CBIR was first introduced in the literature in (Kato, 1992), where automatic retrieval of images from a database based on color and shape features was proposed. QBIC was the first functional CBIR system reported (Flickner et al, 1995).…”

Section: Related Workmentioning

confidence: 99%

Pill-ID: Matching and retrieval of drug pill images

Lee

Park

Jain

et al. 2012

Pattern Recognition Letters

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Section: Related Workmentioning

confidence: 99%

Pill-ID: Matching and retrieval of drug pill images

Lee

Park

Jain

et al. 2012

Pattern Recognition Letters

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“…Одна из первых статей, представляющих технологию поиска цифровых изображений по словесно-му описанию (Content-Based Image Retrieval, CBIR) [1], появилась около 25 лет назад. К настоящему вре-мени технология CBIR достигла внушительных успехов, в том числе за счет использования многоуровне-вых поисковых систем и механизмов, включающих интерактивные стратегии поиска.…”

Section: Introductionunclassified

Mutual image transformation algorithms for visual information processing and retrieval

Александрович¹,

Николаевич²,

Леонидович³

2017

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Katos' TRADEMARK [3] system analyzes the image content automatically by making use of Graphical features (GF vector). Lam et al developed STAR [4] system that makes use of mainstream image retrieval techniques that focus on both shape and spatial layout of image to calculate the similarity between images.…”

Section: Related Workmentioning

confidence: 99%

Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information

Nigam¹,

Garg²,

Tripathi³

2011

IJCA

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Trademark is one of the most disputed items in Intellectual Property Rights. To grant a trademark, litigation is carried out to investigate if the new trademark applied for matches substantially with an already issued trademark. Considering the fact that the trademark database is very huge and keeps on increasing constantly, the manual search is definitely not a correct solution and an Information and Communication Technology (ICT) based system is required to automate this process.In a content based retrieval system, shape is easily the most important feature for the trademark image. Using shape feature various systems have been developed in the past. Here, a new approach is proposed that integrates shape with color and texture information that improves the results significantly in terms of Precision and Recall. A flexible combination of features is used for improving performance and clustering is applied to the database to enhance retrieval efficiency. General TermsTrademark, Content Based Image Retrieval.

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<title>Database architecture for content-based image retrieval</title>

Cited by 226 publications

References 3 publications

Pill-ID: Matching and retrieval of drug pill images

Pill-ID: Matching and retrieval of drug pill images

Mutual image transformation algorithms for visual information processing and retrieval

Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information

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