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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hsieh, Liang-Chi Chen, Kuan-Ting Hsu, Winston H. Wu, Guan-Long Ferng, Chun-Sung Hsueh, Hsiu-Wen Chiang, Chien-Hsing Tsai, Angela Charng-Rurng Yang, Yi-Hsuan |
| Abstract | Efficient image search clustering is prominent for image search engines for exponentially growing photo collections. In this work, we propose an image search clustering approach which selects multiple canonical images from image search results and constructs image clusters in real time on an image sub-graph for the search results. The efficiency is achieved with the help of offline-computed image context graphs by distributed computing methods. Extending our prior works, we demonstrate the results of the proposed canonical image selection and preliminary outcomes of large-scale image graph construction in this proposal. We experiment in Flickr550 dataset, containing 540,321 Flickr photos. |
| Starting Page | 1121 |
| Ending Page | 1122 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781605586083 |
| DOI | 10.1145/1631272.1631528 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-10-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Canonical images Graph construction Image search clustering |
| Content Type | Text |
| Resource Type | Article |
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