Landmark Image Discovery Using Network Clustering"
Significant amounts of Internet photo collections are stored online and continue to grow rapidly. This wealth and availability of visual information enable the development of several computer vision applications. Therefore, there is a need for efficient techniques for structuring and organizing t...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2022
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/59114/1/24%20Pages%20from%20ALA%E2%80%99A%20AHMED%20MOHAMMED%20AL-ZOU%E2%80%99BI%20-%20TESIS.pdf |
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| 總結: | Significant amounts of Internet photo collections are stored online and continue to
grow rapidly. This wealth and availability of visual information enable the development
of several computer vision applications. Therefore, there is a need for efficient
techniques for structuring and organizing this large number of images. In particular,
landmark images form a large portion of such collections. Mining of landmark
images relies on clustering to group large-scale image collections by the object they
depict. The grouping process is a very challenging task due to the variations in the
object’s appearance, which can be caused by illumination conditions, differences in
scale and imaging viewpoint. |
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