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Most Traditional algorithms using only unilateral estimation or bidirectional estimation usually produce poor visual quality because of the fact that the unilateral motion estimation suffers from holes and overlaps and the bidirectional motion estimation suffers from inaccurate motion vector. This paper presents a new improved Frame rate up conversion(FRUC) scheme which combines the unilateral estimation...
Manifold distances are very effective tools for visual object recognition. However, most of the traditional manifold distances between images are based on the pixel-level comparison and thus easily affected by image rotations and translations. In this paper, we propose a new manifold distance to model the dissimilarities between visual objects based on the Complex Wavelet Structural Similarity (CW-SSIM)...
Object tracking is one of the most important topics in computer vision. While the state-of-the-art tracking algorithms achieved great success, there are still some challenging problems to be solved. Firstly, it remains a tough task to develop a tracking algorithm with both accuracy and efficiency. Secondly, the ground truth is often given by a rectangular bounding box, which contains not only the...
Automatic TV commercial block detection is a key component of an intelligent commercial management system. Rather than utilizing exclusively audio-visual characteristics like most previous works, We have proposed a SVM-DP scheme to collaboratively exploit audio-visual and global temporal characteristics associated with commercials. Firstly, likelihood values of commercial and general program are calculated...
In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. But by recent information processing techniques, these kinds of features cannot be detected by computers robustly so that in computer vision it's still difficult...
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