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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mwebaze, Johnson Valentijn, Edwin Booxhorn, Danny McFarland, John |
| Abstract | While there has been advances in observational equipment that generate huge high quality images, the processing of these images remains a major bottleneck. We show that provenance data collected during the processing of data can be reused to perform selective processing of data and support network collaboration without clogging distribution networks. We introduce the idea of sub-image processing (SIMP) in the context of processing a subset of pixels of an image and the use of provenance data to assemble pipelines and to select processing metadata for SIMP. We describe an implementation of SIMP in Astro-WISE. |
| Starting Page | 1277 |
| Ending Page | 1280 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450300995 |
| DOI | 10.1145/1871437.1871600 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-10-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Subimage processing Data lineage Astronomy Data provenance |
| Content Type | Text |
| Resource Type | Article |
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