Image Analysis Through Local Information Measures
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A Coherent Computational Approach to Model Bottom-Up Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency from hierarchical adaptation through decorrelation and variance normalization
Image and Vision Computing
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In recent years, many principled probabilistic definitions for the determination of visual saliency have been proposed. Moreover, there has been increased focus on the role of context in the determination of visual salience. Prior efforts have shed some light on how context may help in predicting the location of, or presence of features associated with an object in the context of detection or recognition. Nevertheless, there remains a variety of manners in which context may be exploited towards providing better judgements of salient content. In this light, we investigate the role of context in the probabilistic determination of salience while presenting a number of potential avenues for future research.