活动感知自适应压缩:3DTI中基于变形的帧合成应用

Chien-Nan Chen, Pengye Xia, K. Nahrstedt
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引用次数: 11

摘要

针对3D远程沉浸(3DTI)环境下不同用户活动对服务质量的不同需求,将活动识别与基于实时变形的压缩相结合,提出了活动感知自适应压缩。我们在我们的3DTI平台上实现了这个方案:TEEVE Endpoint,它是一个运行时引擎,用于处理3DTI数据的创建、传输和渲染。用户研究以及对该方案的客观评估表明,与传统的3D数据压缩相比,该方案可以节省25%的带宽,而不会对用户体验产生明显的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Activity-aware adaptive compression: a morphing-based frame synthesis application in 3DTI
In view of the different demands on quality of service of different user activities in the 3D Tele-immersive (3DTI) environment, we combine activity recognition and real-time morphing-based compression and present the Activity-Aware Adaptive Compression. We implement this scheme on our 3DTI platform: the TEEVE Endpoint, which is a runtime engine to handle the creation, transmission and rendering of 3DTI data. User study as well as objective evaluation of the scheme show that it can achieve 25% more bandwidth saving compared to conventional 3D data compression as zlib without perceptible degradation in the user experience.
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