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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Danzhou Liu Hua, K.A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL, USA (Danzhou Liu; Hua, K.A.) |
| Abstract | Various techniques have been developed for different query types in content-based image retrieval (CBIR) systems such as sampling queries, constrained sampling queries, multiple constrained sampling queries, k-NN queries, constrained k-NN queries, and multiple localized k-NN queries. In this paper, we propose a generalized query model suitable for expressing queries of different types, and investigate efficient processing techniques for this new framework. We develop new storage and query processing techniques to exploit sequential access and leverage inter-query concurrency to share computation. Our experimental results, based on the Corel dataset, indicates that the proposed optimization can significantly reduce average response time in a multiuser environment. |
| Starting Page | 1379 |
| Ending Page | 1381 |
| File Size | 87916 |
| Page Count | 3 |
| File Format | |
| ISBN | 1424408024 |
| DOI | 10.1109/ICDE.2007.369016 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-15 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Query processing Image sampling Image retrieval Indexing Content based retrieval Delay Sampling methods Computer science Concurrent computing Process design |
| Content Type | Text |
| Resource Type | Article |
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