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In order to improve the accuracy of multi-moving objects detection in surveillant video, this paper presents a new method of detection and segmentation for moving objects based on SVM (support vector machine). To further enhance the accuracy of segmentation using support vector machine, we modify the kernel function based on its nature, and some experiments have been done to compare with other kernel...
Large scale mobile data are generated continuously by multiple mobile devices in daily communications. Classification on such data possesses high significance for analyzing the behaviors of mobile customers. However, the natural properties of mobile data presents three non-trivial challenges: large data scale leads it difficult to keep both efficiency and accuracy; similar data increases the system...
Improving the precision of shot boundary detection is very important. This paper presents an algorithm for shot boundary detection based on SVM (support vector machine) in compressed domain. It uses the features, such as the type of macroblock, the difference between DC coefficients of two co-located blocks in successive frames and the type of frame, to segment a video into the shots by classifying...
A strategy of finding surprising patterns over data stream without prior knowledge about surprising patterns requires comparing the newly arrived pattern with all kinds of patterns which have emerged. It means all kinds of patterns which have emerged should be stored in memory for the following comparison to ensure real-time response. The patterns needed to be stored in memory are potentially unbounded...
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