Name
Abstract | ||
|---|---|---|
A robust hash, or content-based fingerprint, is a succinct representation of the perceptually most relevant parts of a multimedia object. A key requirement of fingerprinting is that elements with perceptually similar content should map to the same fingerprint, even if their bit-level representations are different. In this work we propose BAMBOO (Binary descriptor based on AsymMetric pairwise BOOsting), a binary local descriptor that exploits a combination of content-based fingerprinting techniques and computationally efficient filters (box filters, Haar-like features, etc.) applied to image patches. In particular, we define a possibly large set of filters and iteratively select the most discriminative ones resorting to an asymmetric pair-wise boosting technique. The output values of the filtering process are quantized to one bit, leading to a very compact binary descriptor. Results show that such descriptor leads to compelling results, significantly outperforming binary descriptors having comparable complexity (e.g., BRISK), and approaching the discriminative power of state-of-the-art descriptors which are significantly more complex (e.g., SIFT and BinBoost). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7026150 | Image Processing |
Keywords | Field | DocType |
filtering theory,fingerprint identification,image representation,Bamboo,binary descriptor based on asymmetric pairwise boosting technique,bit-level representations,content-based fingerprint,content-based fingerprinting techniques,filtering process,image patches,multimedia object,robust hash-based fingerprint,Binary descriptors,boosting,digital fingerprinting,robust hash | Pairwise comparison,Scale-invariant feature transform,Pattern recognition,Computer science,Filter (signal processing),Robustness (computer science),Boosting (machine learning),Hash function,Artificial intelligence,Discriminative model,Binary number | Conference |
ISSN | Citations | PageRank |
1522-4880 | 7 | 0.43 |
References | Authors | |
20 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Baroffio | 1 | 236 | 14.46 |
| Matteo Cesana | 2 | 826 | 63.33 |
| Alessandro Redondi | 3 | 280 | 25.99 |
| Marco Tagliasacchi | 4 | 869 | 68.63 |