Modeling and Classification of MPEG VBR Video Data using Gradient-based Fuzzy c_means with Divergence Measure |
박동철
(명지대학교 정보공학과 지능컴퓨팅 연구실)
김봉주 (명지대학교 정보공학과 지능컴퓨팅 연구실) |
1 |
Fuzzy-based rate control for real-time MPEG video
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DOI ScienceOn |
2 |
Guest editorial real-time video services in multimedia networks
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DOI ScienceOn |
3 |
Motion recovery for video content classification
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DOI ScienceOn |
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5 |
Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems
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6 |
MPEG VBR Video Traffic Modeling and Classification Using Fuzzy Technique
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DOI ScienceOn |
7 |
Workload models of VBR video traffic and their use in resource allocation policies
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DOI ScienceOn |
8 |
Statistical characteristics and multiplexing of MPEG streams
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9 |
Centroid Neural Network with the Divergence Measure for GPDF Data Clustering
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10 |
Information Theoretic Clustering
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DOI |
11 |
Clustering of Gaussian Probability Density Functions Using Centroid Neural Networks
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12 |
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13 |
Video shot detection and characterization for video databases
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DOI ScienceOn |