The increased use of context for high level reasoning has been popular in recent works to
increase recognition accuracy. In this paper, we consider an orthogonal application of
context. We explore the use of context to determine which low-level appearance cues in an
image are salient or representative of an image's contents. Existing classes of low-level
saliency measures for image patches include those based on interest points, as well as
supervised discriminative measures. We propose a new class of unsupervised contextual …

… Proposed occurrence and location based contextual saliency measures Discussed three
sampling strategies Outperform existing saliency measures on image classification … Use
of context for a low-level task …