Locality Sensitive Hashing with p-stable Distribution for Large Scale Image Search
@inproceedings{Cynthia2015LocalitySH,
title={Locality Sensitive Hashing with p-stable Distribution for Large Scale Image Search},
author={C. Cynthia and K. Sundareshwari},
year={2015}
}Rapid and accurate retrieval techniques are vital for large scale database applications. However, developing a rapid solution to index high dimensional image contents is challenging in CBIR (Content Based Image Retrieval) systems. Thus, in this paper a flexible content based image retrieval system with LSH (Locality Sensitive Hashing) has been proposed.Hashing has been widely utilized for similarity search in large scale database because of its fast query speed and computational efficiency. In… CONTINUE READING
References
SHOWING 1-10 OF 11 REFERENCES
Visual information retrieval system via content-based approach
- Mathematics, Computer Science
- Pattern Recognit.
- 2002
- 58
- PDF
A descriptor for large scale image retrieval based on sketched feature lines
- Computer Science
- SBIM '09
- 2009
- 112
- PDF
Semi-Supervised Hashing for Large-Scale Search
- Computer Science, Medicine
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2012
- 647
- PDF
Edge-based structural features for content-based image retrieval
- Computer Science, Mathematics
- Pattern Recognit. Lett.
- 2001
- 134
- PDF
Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search
- Computer Science
- IEEE Signal Processing Letters
- 2013
- 44
- PDF
Fast Image Segmentation based on k - means Clustering and HaralickFeatures ”
- International Journal of Inventions in Computer Science and Engineering
- 2014
Multiscale Diffusion based image classification method in non-linearfiltering
- International Journal of Inventions in Computer Science and Engineering,
- 2014