Landmark Image Discovery Using Network Clustering

Publication:
Landmark Image Discovery Using Network Clustering

dc.contributor.author	Mohammed Al-Zou’Bi, Ala’A Ahmed
dc.date.accessioned	2023-08-14T03:01:26Z
dc.date.available	2023-08-14T03:01:26Z
dc.date.issued	2022-03
dc.description.abstract	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.
dc.identifier.uri	https://erepo.usm.my/handle/123456789/17257
dc.title	Landmark Image Discovery Using Network Clustering
dc.type	Resource Types::text::thesis::doctoral thesis
dspace.entity.type	Publication
oairecerif.author.affiliation	Universiti Sains Malaysia

Now showing 1 - 1 of 1