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• W2890032447 abstract "Rate-distortion optimal 3D point cloud compression is very challenging due to the irregular structure of 3D point clouds. For a popular 3D point cloud codec that uses octrees for geometry compression and JPEG for color compression, we first find analytical models that describe the relationship between the encoding parameters and the bitrate and distortion, respectively. We then use our models to formulate the rate-distortion optimization problem as a constrained convex optimization problem and apply an interior point method to solve it. Experimental results for six 3D point clouds show that our technique gives similar results to exhaustive search at only about 1.57% of its computational cost." @default.
• W2890032447 created "2018-09-27" @default.
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• W2890032447 date "2018-11-01" @default.
• W2890032447 modified "2023-10-02" @default.
• W2890032447 title "Model-Based Encoding Parameter Optimization for 3D Point Cloud Compression" @default.
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• W2890032447 doi "https://doi.org/10.23919/apsipa.2018.8659653" @default.
• W2890032447 hasPublicationYear "2018" @default.
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