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Enhancing VRV-ET with Advanced Image Data Retrieval System

Our summer research project, led by Dong-Hui and Debby, focuses on improving the VRV-ET tool by implementing an efficient image data retrieval system using Lucene and Digester. Our system offers tailored search functionality and advanced features for better user experience. Learn more at http://www.cs.uoregon.edu/~jrogers/oman/.

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Enhancing VRV-ET with Advanced Image Data Retrieval System

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Presentation Transcript

  1. Our Summer Research Brought to you by Dong-Hui and Debby

  2. Background • About us • Distributed Mentor Project • Professor Janice Cuny • Computing Research Association

  3. Overview • Motivation • Project Goals • Lucene and Digester • Our System • Why Our Search is Special • Conclusion • Future Work

  4. Motivation • VRV-ET • Virtual Research Vessel • Educational Tool • http://www.cs.uoregon.edu/~jrogers/oman/ • Suggested improvements for VRV-ET • Data protection • User friendly interfaces • Efficient data retrieval

  5. Project Goals • Image data retrieval system • Goals • Easy to use interface • Efficient retrieval of data • Extendable

  6. Lucene and Digester • Open source projects from Apache • Digester • Parse XML • Lucene • Indexes • Searches

  7. Our System • Full text searchable index • Picture meta data • XML files • Keyword based search • Advanced search capacity • File retrieval

  8. Why Our Search is Special • Why not Google? • Tailored to VRV-ET • Extendable functionality • Used in conjunction with other tools • Demo

  9. Future Work • Data Access Object • Image data input interface • Use to create presentations

  10. Conclusion • How we improved VRV-ET • What our system does • Ways to improve it

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