Woontack Woo

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Many stereo image compression algorithms exploit the redundancy between the two images in a stereo pair by using disparity compensated prediction. Thus, research in coding of stereo images has focused mostly on the issue of disparity estimation, with less attention being devoted to the equally important problem of allocating bits among the two images. This(More)
With the increasing amount of research on smart TVs, users are interacting with them in an evermore convenient way. However, current program recommendations mainly focus on using individual profiles and require users’ active participation when multiple viewers coexist. In this paper, we propose a socially aware program recommender for multiple viewers of a(More)
In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identifies such regions in images under the assumption that, in each image, background and foreground regions present different color properties. To achieve this task, monocular color(More)
In coming years there will be an increasing demand for realistic 3-D display of scenes using such popular approaches as stereo or multi-view images. As the amount of information displayed increases so does the need for digital compression to ensure eecient storage and transmission of the sequences. In this paper, we introduce a new approach to stereo image(More)
We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real time. While many applications need to consider more than one object in practice, the existing methods for single object tracking do not scale well with the number of objects, and a proper way to deal with several objects is required. Our method(More)