Báo cáo hóa học: " Research Article A Flexible Client-Driven 3DTV System for Real-Time Acquisition, Transmission, and Display of Dynamic Scenes"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Flexible Client-Driven 3DTV System for Real-Time Acquisition, Transmission, and Display of Dynamic Scenes | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 351452 15 pages doi 2009 351452 Research Article A Flexible Client-Driven 3DTV System for Real-Time Acquisition Transmission and Display of Dynamic Scenes Xun Cao 1 2 Yebin Liu 1 2 and Qionghai Dai1 2 1 Broadband Networks Digital Media Lab Tsinghua University Beijing 100084 China 2 Tsinghua National Laboratory for Information Science and Technology TNList Beijing 100084 China Correspondence should be addressed to Xun Cao xuncao@ Received 1 October 2007 Revised 4 February 2008 Accepted 19 May 2008 Recommended by G. Triantafyllidis 3D experience and free-viewpoint navigation are expected to be two essential features of next generation television. In this paper we present a flexible 3DTV system in which multiview video streams are captured compressed transmitted and finally converted to high-quality 3D video in real time. Our system consists of an 8 X 8 camera array 16 producer PCs a streaming server multiple clients and several autostereoscopic displays. The whole system is implemented over IP network to provide multiple users with interactive 2D 3D switching viewpoint control and synthesis for dynamic scenes. In our approach multiple video streams are first captured by a synchronized camera array. Then we adopt a lengthened-B-field and region of interest- ROI- based coding scheme to guarantee a seamless view switching for each user as well as saving per-user transmission bandwidth. Finally a convenient rendering algorithm is used to synthesize a visually pleasing result by introducing a new metric called Clarity Degree CD . Experiments on both synthetic and real-world data have verified the feasibility flexibility and good performance of our system. Copyright 2009 Xun Cao et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium .

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