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- Read more about Key frames hysteresis-seeking based on motion change points for RGB-D video
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Key-frame extraction has been a focused problem of human action recognition due to its effectiveness, efficiency and importance in action understanding. According to the characteristics of human motion perception, this paper proposes a new key-frame extraction framework based on motion change points. And in order to detect motion change points robustly, a hysteresis extrema seeking algorithm has been developed. Experimental results have demonstrated the good performance of the proposed methods.
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- Read more about Guided Signal Reconstruction with Application to Image Magnification
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We propose signal reconstruction algorithms which utilize a guiding subspace that represents desired properties of reconstructed signals. Optimal reconstructed signals are shown to belong to a convex bounded set, called the ``reconstruction'' set. Iterative reconstruction algorithms, based on conjugate gradient methods, are developed to approximate optimal reconstructions with low memory and computational costs. Effectiveness of the proposed method is demonstrated with an application to image magnification.
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- Read more about Tree-Structured Algorithm For Efficient Shearlet-domain Light Field Reconstruction
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- Read more about IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS
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- Read more about A Finite Field Cosine Transform-Based Image Processing Scheme for Color Image Encryption
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- Read more about Piecewise Planar Super-Resolution for 3D Scene
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