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Instructor : Bin Wang

This project aims to get a fast and better video segmentation based on machine learning.


My Contribution

  • Achieved a stable segmentation result on boundary consistency, based on the SVM training and the segmentation result of the first video frame by Mean Shift.

  • Implemented low-level feature extraction of images, such as variance and color, which enhanced the segmentation accuracy and robustness.

  • Improved the recognition of pattern repeated objects, such as zebra, by using the method of point-wise mutual information which was often used in the area of word association.