Title | ||
---|---|---|
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. |
Abstract | ||
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For the last decades, computer-based visual attention models aiming at automatically predicting human gaze on images or videos have exponentially increased. Even if several families of methods have been proposed and a lot of words like centre-surround difference, contrast, rarity, novelty, redundancy, irregularity, surprise or compressibility have been used to define those models, they are all based on the same and unique idea of information innovation in a given context. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1016/j.image.2013.03.009 | Signal Processing: Image Communication |
Keywords | Field | DocType |
Bottom-up saliency,Comparative statistical analysis,Multi-scale rarity mechanism,Regions of interest,Saliency models evaluation,Visual attention | Computer vision,Normalization (statistics),Receiver operating characteristic,Salience (neuroscience),Computer science,Redundancy (engineering),Artificial intelligence,Novelty,Surprise,Jian,Machine learning,Statistical analysis | Journal |
Volume | Issue | ISSN |
28 | 6 | 0923-5965 |
Citations | PageRank | References |
65 | 2.05 | 17 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nicolas Riche | 1 | 184 | 9.75 |
Matei Mancas | 2 | 315 | 27.50 |
Matthieu Duvinage | 3 | 125 | 5.35 |
Makiese Mibulumukini | 4 | 66 | 2.74 |
Bernard Gosselin | 5 | 198 | 12.88 |
Thierry Dutoit | 6 | 1006 | 123.84 |