An Adaptive Scheme to Achieve Fine Grained Video Scaling
A robust Adaptive Reconstruction Error Minimization Convolution Neural Network ( ARemCNN) architecture introduced to provide high reconstruction quality from low resolution using parallel configuration. Our proposed model can easily train the bulky datasets such as YUV21 and Videoset4.Our experiment...
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2017-10-01.
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Online Access: | Get fulltext |
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A1234.567 |
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Copy 1 | Available |