TY  - INPR
ID  - doras16705
UR  - http://doras.dcu.ie/16705/
A1  - McGuinness, Kevin
A1  - McCusker, Kealan
A1  - O'Hare, Neil
A1  - O'Connor, Noel E.
Y1  - 2012/01/04/
N2  - 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.
PB  - Springer
T3  - Lecture Notes in Computer Science
TI  - Efficient storage and decoding of SURF feature points
M2  - Klagenfurt, Austria
AV  - public
T2  - The 18th International Conference on MultiMedia Modeling
ER  -