Image and Video Modeling and Understanding
نویسنده
چکیده
Seven digital library related projects conducted in the Vision and Modeling Group of the MIT Media Laboratory are reviewed. These projects address a large variety of issues that are essential to building sophisticated, e cient, and user friendly tools for image and video library applications. The problems on which these projects focus include feature extraction, feature combination, similarity comparison, image and video understanding, and learning from man-machine interaction.
منابع مشابه
Improving Exemplar-based Image Completion methods using Selecting the Optimal Patch
Image completion is one of the subjects in image and video processing which deals with restoration of and filling in damaged regions of images using correct regions. Exemplar-based image completion methods give more pleasant results than pixel-based approaches. In this paper, a new algorithm is proposed to find the most suitable patch in order to fill in the damaged parts. This patch selection ...
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