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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)
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)
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)
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)
The problem based teaching (PBT) has been the main approach to the training in the universities o the world. Combined with the team oriented learning method, PBT will become the method available to the education in medical universities. In the paper, based on the common questions in teaching Jingluo Shuxue Xue (Science of Meridian and Acupoint), the(More)