A novel classification method of video shot genre based on data-mining is proposed in this paper. First, shot boundary detection and key frames extraction are performed. Second, some visual features such as color and ...
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A novel classification method of video shot genre based on data-mining is proposed in this paper. First, shot boundary detection and key frames extraction are performed. Second, some visual features such as color and motion are extracted for the key frame and shots. Third, decision tree is applied to discover the rules between these features and shots classes from numerous training data. Finally, these rules are exploited to classify the new video shots. Experimental results show that compared with the method based on SVM (support vector machine), the proposed method can achieve higher detection accuracy and the rules obtained are easy to comprehend.
A method of Doppler frequency rate estimation is proposed to deal with motion compensations for missile-borne SAR imaging. Working in burst SAR mode, Map Drift method is improved to satisfy the complicated condition o...
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Lexical semantic resources play an important role in semantic relation extraction between named entities. This paper exploits lexical semantic information based on HowNet to convolution tree kernels via two methods: i...
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In this paper, we propose a feature vector to extract semantic relations using dependency tree and parse tree. We exploit relation descriptions from infoboxes on Wikipedia documents. The features include part-of-speec...
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In this paper, we present a simplified shallow semantic parsing approach to extracting opinion targets. This is done by formulating opinion target extraction (OTE) as a shallow semantic parsing problem with the opinio...
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Many recent applications involve processing and analyzing uncertain data. Recently, several research efforts have addressed answering skyline queries efficiently on massive uncertain datasets. However, the research la...
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Acoustic signalprocessing research has been addressing the issues associated with additive noise and other degradations in speech for many years and several significant technical advances are now embedded in the stat...
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JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that by optimising the JPEG XR quantisation strategy, JPEG XR default quantisation as well as ...
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ISBN:
(纸本)9781612081953
JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that by optimising the JPEG XR quantisation strategy, JPEG XR default quantisation as well as JPEG2000 based iris recognition can be improved in terms of EER. The optimised JPEG XR quantisation strategy shows good performance across a wide range of iris feature extraction techniques, but has to be adapted for each target bitrate separately.
The aim of this paper is to investigate the influence of Adaptative Multi-Rate Wideband (AMR-WB) speech coding on Distributed Speaker Recognition (DSR). The main goal is to improve speaker recognition performance with...
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Fault-tolerant recovery in Multicast communication is an important issue. An ideal multicast fault-tolerant approach can save network resources, reduce the delay and cost, realize quick recovery. In this paper, we pro...
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ISBN:
(纸本)9787900769428
Fault-tolerant recovery in Multicast communication is an important issue. An ideal multicast fault-tolerant approach can save network resources, reduce the delay and cost, realize quick recovery. In this paper, we propose a new multicast fault-tolerant approach-FH-TFTM based on proposed multicast fault-tolerant algorithms. It can go over problems faced in traditional approaches, for example node failure, unpredictable problems, time delay, network cost and loop avoidance. FH-TFTM can reduce consuming network resources, and carry out effectively setting up backup paths.
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