A novel interactive streaming protocol for image-based 3D virtual environment navigation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A New Virtual View Rendering Method Based on Depth Image
APWCS '10 Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems
Architecture design and analysis of image-based rendering engine
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Prioritized evolutionary optimization in open session management for 3D tele-immersion
Proceedings of the 4th ACM Multimedia Systems Conference
OSM: Prioritized evolutionary QoS optimization for interactive 3D teleimmersion
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
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Interactive multi-view video enables users to enjoy the video from different viewpoints. Yet multi-view dramatically increases the video data volume and their computation, making realtime transmission and interactions a challenging task. It therefore calls for efficient view synthesis strategies that flexibly generate visual views. In this paper, we present a collaborative view synthesis strategy for online interactive multi-view video streaming based on Depth-Image Based Rendering (DIBR) view synthesis technology, which generates a visual view with the texture and depth information on both sides. Different from the traditional DIBR algorithm for single view synthesis, we explore the collaboration relationship between different viewpoints synthesis for a range of visual views generation, and propose Shift DIBR (S-DIBR). In S-DIBR, only the projected pixels, rather than all the pixels of the reference view, are utilized for next visual view generation. Therefore, the computation complexity of projection transform, which is the most computation intensive process in the traditional DIBR algorithm, is reduced to fulfill the requirement of online interactive streaming. Experiment results validate the efficiency of our collaborative view synthesis strategy, as well as the bandwidth scalability of the streaming system.