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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Heath, K. Gelfand, N. Ovsjanikov, M. Aanjaneya, M. Guibas, L.J. |
| Copyright Year | 2010 |
| Description | Author affiliation: Stanford University (Heath, K.; Ovsjanikov, M.; Aanjaneya, M.; Guibas, L.J.) || Nokia Research - Palo Alto, CA (Gelfand, N.) |
| Abstract | The widespread availability of digital cameras and ubiquitous Internet access have facilitated the creation of massive image collections. These collections can be highly interconnected through implicit links between image pairs viewing the same or similar objects. We propose building graphs called Image Webs to represent such connections. While earlier efforts studied local neighborhoods of such graphs, we are interested in understanding global structure and exploiting connectivity at larger scales. We show how to efficiently construct Image Webs that capture the connectivity in an image collection using spectral graph theory. Our technique can link together tens of thousands of images in a few minutes using a computer cluster. We also demonstrate applications for exploring collections based on global topological analysis. |
| Starting Page | 3432 |
| Ending Page | 3439 |
| File Size | 3547557 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539991 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Joining processes Digital cameras Internet Buildings Graph theory Cities and towns Lighting Navigation Pervasive computing Application software |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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