| EPSRC Reference: |
EP/J020257/1 |
| Title: |
FISH: Fast Semantic Nearest Neighbour Search |
| Principal Investigator: |
Qiu, Professor G |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computer Science |
| Organisation: |
University of Nottingham |
| Scheme: |
Standard Research |
| Starts: |
01 June 2012 |
Ends: |
30 September 2013 |
Value (£): |
95,625
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Image & Vision Computing |
| Information & Knowledge Mgmt |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
Information Technologies |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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09 Feb 2012
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Data Intensive Systems (DaISy)
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Announced
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Summary on Grant Application Form |
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This proposal addresses Theme 1 of the Data Intensive Systems (DaISy) Call "Extracting meaningful information: Deriving meaning from large, heterogeneous, incomplete, contradictory, noisy and dispersed data sets with many different forms and formats (e.g. text, image and sound files)". The project will research and develop novel fast semantic nearest neighbour search (FISH) data structure, algorithm and software utilities for rapidly discovering semantically similar neighbours of complex data objects and automatically assigning semantic class labels to them. It will use large scale, high dimensional, heterogeneous, incomplete, and noisy internet image labelling datasets as Case Study for technology development and evaluation. The FISH solutions and utilities can be directly applied to automatically label security surveillance videos and defence reconnaissance imageries to extract semantic meanings to facilitate security and defence intelligence gathering and analysis.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.nottingham.ac.uk |