Visual saliency estimation for video
Matthew Oakes, Charith Abhayaratne · 2012
The most eye catching regions within an image or video can be captured by exploiting characteristics within the human visual system. In this paper we propose a novel method for modeling the visual saliency information in a video sequence. The proposed method incorporates wavelet decomposition and the modeling of the human visual system to capture spatiotemporal saliency information. A unique approach to capture and combine salient motion data with spatial intensity and orientation contrasts in the sequence, is presented. The proposed method shows a superior performance compared to the state-of-the-art existing methods. The fast algorithm can be simply implemented and is useful for many wavelet based applications such as watermarking, compression and fusion.