Learn More
The high dimensionality of hyperspectral images are usually coupled with limited data available, which degenerates the performances of clustering techniques based only on pixel spectral. To improve the performances of clustering, incorporation of spectral and spatial is needed. As an attempt in this direction, in this paper, we propose an unsupervised(More)
Eye state estimation has been widely applied in many real-world systems, e.g., driver monitoring and smart television. However, it is still an open issue towards accurate and realtime estimation, especially under the scenario of uncontrolled scenes, for instance severely occlusion, viewpoint change, and illumination variances. In this paper, we introduce a(More)
In this paper, an efficient geometric statistics method is proposed to obtain the geometric information of the object, which can achieve fast visual re-ranking along with the localization of target-of-interest. Given an input pair of images, first we get a set of interest-point correspondences, and enumerate all potential pairs in each image, upon which we(More)
Coming with the proliferation of mobile devices, the issue of displaying videos with varying resolutions and aspect ratios has become emerging. To this end, state-of-the-art works typically resort to video retargeting or cropping, i.e. adaptively adjusting the display regions and contents within each video frame to fit for the mobile device screens.(More)