Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Efficient storage and decoding of SURF feature points

McGuinness, Kevin and McCusker, Kealan and O'Hare, Neil and O'Connor, Noel E. (2012) Efficient storage and decoding of SURF feature points. In: The 18th International Conference on MultiMedia Modeling, 4-6 Jan, 2012, Klagenfurt, Austria. (In Press)

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features. This paper investigates several methods for compression and storage of SURF feature points, considering both storage consumption and disk-read efficiency. We compare each scheme with a baseline plain-text encoding scheme as used by many existing SURF implementations. Our final proposed scheme significantly reduces both the time required to load and decode feature points, and the space required to store them on disk.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Image processing
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:Proceedings of the 18th International Conference on Multimedia Modeling. Lecture Notes in Computer Science . Springer.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:CLARITY, AXES ICT-269980
ID Code:16705
Deposited On:09 Jan 2012 13:58 by Dr. Kevin McGuinness. Last Modified 09 Jan 2012 13:58

Download statistics

Archive Staff Only: edit this record