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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pepsi, M.B.B. Mala, K. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Mepco Schlenk Eng. Coll., Sivakasi, India (Pepsi, M.B.B.; Mala, K.) |
| Abstract | The setting in which similarity querying of metric data is outsourced to a service provider. Users query the server for the most similar data objects and data is revealed only to trusted users and not to anyone else. The need for privacy may be due to the data being sensitive (eg. in medicine), valuable (eg. in astronomy) or otherwise confidential. In this work, image retrieval on metric data of outsourced lung images using parallelism from various sources like hospitals, scan centers and public database available in internet are handled. The proposed similarity search for content based image retrieval involves dynamic similarity querying on metric data from segmented and extracted texture features database. With real data, the technique is capable of offering privacy while enabling efficient and accurate processing of similarity queries. |
| Sponsorship | IEEE Madras Sect. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 665685 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467325929 |
| e-ISBN | 9781467325943 |
| DOI | 10.1109/ICGHPC.2013.6533912 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-14 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Vectors Servers Security Clustering GLCM Interquery parallelism Image segmentation Databases Lungs Query processing OTSU thresholding Feature extraction |
| Content Type | Text |
| Resource Type | Article |
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