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Fast geometric re-ranking for image-based retrieval

9 years 9 months ago
Fast geometric re-ranking for image-based retrieval
We present a fast and efficient geometric re-ranking method that can be incorporated in a feature based image-based retrieval system that utilizes a Vocabulary Tree (VT). We form feature pairs by comparing descriptor classification paths in the VT and calculate geometric similarity score of these pairs. We propose a location geometric similarity scoring method that is invariant to rotation, scale, and translation, and can be easily incorporated in mobile visual search and augmented reality systems. We compare the performance of the location geometric scoring scheme to orientation and scale geometric scoring schemes. We show in our experiments that re-ranking schemes can substantially improve recognition accuracy. We can also reduce the worst case server latency up to 1 sec and still improve the recognition performance.
Sam S. Tsai, David Chen, Gabriel Takacs, Vijay Cha
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Sam S. Tsai, David Chen, Gabriel Takacs, Vijay Chandrasekhar, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
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