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Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
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Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
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A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
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An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
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Design of Distribution Transformer Health Management System using IoT Sensors
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Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
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Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
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Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
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Volume - 2 | Issue - 3 | september 2020
Published
21 July, 2020
The proposed work involves a hybrid data representation using efficient light field coding. The existing light field coding solution are implemented using sub-aperture or micro-images. However, the full capacity in terms of intrinsic redundancy in light field images is not completely explored. This paper represents a hybrid data representation which explores four major redundancy types. Using coding block, the most predominant redundancy is exploited to find the optimum coding solution that provides maximum flexibility. To show how efficient the hybrid representation works, we have proposed a combination of pseudo-video sequence coding approach with pixel prediction methods. The observed experimental results shows a positive bit rate saving when compared to other similar methods. Similarly, the proposed method is also said to outperform other coding algorithms such as WaSP and MuLE when compared on a HEVC-based benchmark.
KeywordsHEVC spatial pixel prediction light field representation Light field coding
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