Image Signature Highlighting Sparse Salient Regions - 2012 PROJECT TITLE :Image Signature Highlighting Sparse Salient Regions - 2012ABSTRACT: We introduce a simple image descriptor referred to as the image signature. We show, within the theoretical framework of sparse signal mixing, that this quantity spatially approximates the foreground of an image. We experimentally investigate whether this approximate foreground overlaps with visually conspicuous image locations by developing a saliency algorithm based on the image signature. This saliency algorithm predicts human fixation points best among competitors on the Bruce and Tsotsos [1] benchmark data set and does so in much shorter running time. In a related experiment, we demonstrate with a change blindness data set that the distance between images induced by the image signature is closer to human perceptual distance than can be achieved using other saliency algorithms, pixel-wise, or GIST [2] descriptor methods. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Image Prediction Based on Neighbor Embedding Methods - 2012 ISP An Optimal Out-Of-Core Image-Set Processing Streaming Architecture for Parallel Heterogeneous Systems - 2012
