Information-theoretic model comparison unifies saliency metrics

An Information Theoretic Model of Saliency and Visual Search

In this paper, a proposal which quantifies visual saliency based on an information theoretic definition is evaluated with respect to visual psychophysics paradigms. Analysis reveals that the proposal explains a broad range of results from classic visual search tasks, including many for which only specialized models have had success. As a whole, the results provide strong behavioral support for ...

An information theoretic approach for privacy metrics

Organizations often need to release microdata without revealing sensitive information. To this scope, data are anonymized and, to assess the quality of the process, various privacy metrics have been proposed, such as k-anonymity, `-diversity, and t-closeness. These metrics are able to capture different aspects of the disclosure risk, imposing minimal requirements on the association of an indivi...

Object recognition via information-theoretic measures/metrics

Information-theoretic metrics for security and privacy

In this thesis, we study problems in cryptography, privacy and estimation through the information-theoretic lens. We introduce information-theoretic metrics and associated results that shed light on the fundamental limits of what can be learned from noisy data. These metrics and results, in turn, are used to evaluate and design both symmetric-key encryption schemes and privacy-assuring mappings...

Attentive Object Detection Using an Information Theoretic Saliency Measure

A major goal of selective attention is to focus processing on relevant information to enable rapid and robust task performance. For the example of attentive visual object recognition, we investigate here the impact of top-down information onmulti-stage processing, instead of integrating generic visual feature extraction into object specific interpretation.We discriminate between generic and spe...