Visual saliency for automatic target detection, boundary detection, and image quality assessment

We present a visual saliency detection method and its applications. The proposed method does not require prior knowledge (learning) or any pre-processing step. Local visual descriptors which measure the likeness of a pixel to its surroundings are computed from an input image. Self-resemblance measured between local features results in a scalar map where each pixel indicates the statistical likelihood of saliency. Promising experimental results are illustrated for three applications: automatic target detection, boundary detection, and image quality assessment.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Hae Jong Seo, Peyman Milanfar
• Keywords: Detection, ICASSP 2010, Local Visual Descriptors, Saliency Detection Method, Signal Processing