Content-Based Classification and Retrieval of Digital Images
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| Titel: | Content-Based Classification and Retrieval of Digital Images |
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| Autoren: | Garofolo, Ethan, Barrett, Dr. William |
| Quelle: | Journal of Undergraduate Research |
| Verlagsinformationen: | BYU ScholarsArchive |
| Publikationsjahr: | 2013 |
| Bestand: | Brigham Young University (BYU): ScholarsArchive |
| Schlagwörter: | content-based classification, digital images, digital image libraries, Computer Sciences |
| Beschreibung: | 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. |
| Publikationsart: | text |
| Dateibeschreibung: | application/pdf |
| Sprache: | unknown |
| Relation: | https://scholarsarchive.byu.edu/jur/vol2013/iss1/2650; https://scholarsarchive.byu.edu/context/jur/article/6384/viewcontent/auto_convert.pdf |
| Verfügbarkeit: | https://scholarsarchive.byu.edu/jur/vol2013/iss1/2650 https://scholarsarchive.byu.edu/context/jur/article/6384/viewcontent/auto_convert.pdf |
| Dokumentencode: | edsbas.4AB3A8DD |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | 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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