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Software defined networking (SDN) has the potential to meet the requirements of the next generation traffic and service requirements. It is especially feasible and flexible when combining with small cell networks, which emerges into a software defined small cell networking (SDSCN) framework. SDSCN stands a chance to play a fundamental role in developing future 5G networks. It is particularly a challenging...
As a famous cultural wealth, the sketch of fresco is one of the most important art expression forms in the World Heritage. To avoid the damage of natural and human factors, painters can only use photos and videos to depict sketch in most world culture heritage sites, otherwise real frescos. Therefore, a computational method for extracting sketch is helpful and meaningful in sketch copying and researching...
With the ever-growing amount of videos on the internet, searching for desired videos in an effective and efficient way remains a challenge. In addition, repurposing videos of interest into new attractive photo/video products has been an open issue. In this paper, we propose a framework for video retrieval and repurposing by leveraging the face information in videos. Since text query cannot express...
In order to accomplish subject-independent facial expression recognition, a facial expression recognition approach based on wavelets decomposition and adaboost feature weighting is presented in this paper. At first, wavelet is adopted to decompose images into several bands of frequency images from which the LBP features are extracted. Then adaboost is introduced to learn the dichotomy-dependent weights...
For accurately identifying the condition of the tool wear in vector machines, a novel feature vector extraction methods based on fusing wavelet packet multi-scale information entropy (Frequency domain)and AR model coefficients(Time Domain) of Acoustic emission signal of tool wear is proposed. In order to reduce the dimension of feature vector, the analysis method of kernel principal component analysis...
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