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Content-Based Classification and Retrieval of Digital Images

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Název: Content-Based Classification and Retrieval of Digital Images
Autoři: Garofolo, Ethan, Barrett, Dr. William
Zdroj: Journal of Undergraduate Research
Informace o vydavateli: BYU ScholarsArchive
Rok vydání: 2013
Sbírka: Brigham Young University (BYU): ScholarsArchive
Témata: content-based classification, digital images, digital image libraries, Computer Sciences
Popis: As digital image libraries continue to grow in size, classifying the content of such a large volume continues to grow in difficulty. At present, human users catalog images by giving descriptive filenames and/or labels in image header files, hoping that the given names will make sense and describe the images in weeks, months, or years to come. This is a painfully-slow and often inaccurate process. In areas such as national defense where digital images are a critical aspect of intelligence gathering, the shortcomings of existing methods can cost human life. The original purpose of my research was to devise a software solution for classifying images based on image content (i.e. – the objects depicted in an image, such as a car, a slice of pizza, or anything else), allowing images to be searched in a more natural, high-level way. This was to allow a user to simply upload a group of photos to a computer, and, using my software solution, the computer would classify the images based on their content. However, the nature of the project changed as I began the work. I originally wanted to feed a body of images into the system, have the system give names to the various objects depicted in the images, and then perform text-based search on the resultant image database. As an understatement, that was a lofty goal.
Druh dokumentu: text
Popis souboru: application/pdf
Jazyk: unknown
Relation: https://scholarsarchive.byu.edu/jur/vol2013/iss1/2650; https://scholarsarchive.byu.edu/context/jur/article/6384/viewcontent/auto_convert.pdf
Dostupnost: https://scholarsarchive.byu.edu/jur/vol2013/iss1/2650
https://scholarsarchive.byu.edu/context/jur/article/6384/viewcontent/auto_convert.pdf
Přístupové číslo: edsbas.4AB3A8DD
Databáze: BASE
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  Label: Title
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  Data: Content-Based Classification and Retrieval of Digital Images
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  Data: <searchLink fieldCode="AR" term="%22Garofolo%2C+Ethan%22">Garofolo, Ethan</searchLink><br /><searchLink fieldCode="AR" term="%22Barrett%2C+Dr%2E+William%22">Barrett, Dr. William</searchLink>
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  Label: Source
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  Data: Journal of Undergraduate Research
– Name: Publisher
  Label: Publisher Information
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  Data: BYU ScholarsArchive
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2013
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  Data: Brigham Young University (BYU): ScholarsArchive
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  Data: <searchLink fieldCode="DE" term="%22content-based+classification%22">content-based classification</searchLink><br /><searchLink fieldCode="DE" term="%22digital+images%22">digital images</searchLink><br /><searchLink fieldCode="DE" term="%22digital+image+libraries%22">digital image libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Sciences%22">Computer Sciences</searchLink>
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  Label: Description
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  Data: As digital image libraries continue to grow in size, classifying the content of such a large volume continues to grow in difficulty. At present, human users catalog images by giving descriptive filenames and/or labels in image header files, hoping that the given names will make sense and describe the images in weeks, months, or years to come. This is a painfully-slow and often inaccurate process. In areas such as national defense where digital images are a critical aspect of intelligence gathering, the shortcomings of existing methods can cost human life. The original purpose of my research was to devise a software solution for classifying images based on image content (i.e. – the objects depicted in an image, such as a car, a slice of pizza, or anything else), allowing images to be searched in a more natural, high-level way. This was to allow a user to simply upload a group of photos to a computer, and, using my software solution, the computer would classify the images based on their content. However, the nature of the project changed as I began the work. I originally wanted to feed a body of images into the system, have the system give names to the various objects depicted in the images, and then perform text-based search on the resultant image database. As an understatement, that was a lofty goal.
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      – SubjectFull: content-based classification
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      – SubjectFull: digital images
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      – SubjectFull: digital image libraries
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