首页|Studies from Shanghai University Update Current Data on Computational Intelligen ce (Fast Video-based Point Cloud Compression Based On Early Termination and Tran sformer Model)
Studies from Shanghai University Update Current Data on Computational Intelligen ce (Fast Video-based Point Cloud Compression Based On Early Termination and Tran sformer Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing - Computational Intelligence. Accordingto news reporting from Shanghai, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Video-based Po int Cloud Compression (V-PCC) was proposed by the Moving Picture Experts Group (MPEG) to standardize Point Cloud Compression (PCC). The main idea of V-PCC is to project the DynamicPoint Cloud (DPC) into auxiliary information, occupancy, ge ometry, and attribute videos for encodingutilizing High Efficiency Video Coding (HEVC), Versatile Video Coding (VVC), etc.”
ShanghaiPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningAlgorithmsShanghai University
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