Titlebook: Advances in Visual Computing; 10th International S George Bebis,Richard Boyle,Mark Carlson Conference proceedings 2014 Springer Internation

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A Fast TGV-,, RGB-D Flow Estimatione considering computing efficiency for the real-world applications. 3D scene flow estimation is an attractive problem with the advent of commodity RGB-D cameras. Naive extensions of recent variational optical flow techniques show promising but limited successes. Due to their primitive priors, soluti

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Efficient Object Localization and Segmentation in Weakly Labeled Videoswith a semantic tag describing the main object within the video. However, this tag does not provide any spatial or temporal information about the object within the video. So these videos are weakly labeled. We propose a novel and efficient approach to localize the object of interest within the video

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Image Classification via Semi-supervised Feature Extraction with Out-of-Sample Extensiond feature extraction method having an out-of-sample extension. It seeks a non-linear subspace that is close to a linear one. The proposed method relies on criterion that simultaneously exploits the discrimination information provided by the labeled samples, preserve the graph-based smoothness, and m

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An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detectionrmed as the first step followed by dynamic programming to find the shortest path which conforms to the detected horizon line. Recent work has proposed the use of machine learning to reduce the number of non-horizon edges to accurately detect the horizon line. In this paper, we investigate the suitab

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