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Video shot boundary detection plays an every important role in video processing. It is the first step toward video content analysis and content-based video retrieval. We develop a novel approach for video shot boundary detection based on supervised learning. Our method consists in first extracting video frame feature using a supervised kernel non-locality preserving projections, then video frames...
Traditional algorithm for resource leveling optimization is based on the resource allocation pattern which is conventional distribution, i.e. the amount of resource invested is constant through the time when the leveling activity is underway. However, that assumption is always incompatible with practical working pattern of resource. In practice, resource allocation varies often with different features...
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