SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
LDI tree: a hierarchical representation for image-based rendering
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
An immersive 3D video-conferencing system using shared virtual team user environments
Proceedings of the 4th international conference on Collaborative virtual environments
blue-c: a spatially immersive display and 3D video portal for telepresence
ACM SIGGRAPH 2003 Papers
Real-time compression for dynamic 3D environments
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
Real-time multidepth stream compression
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Real-time terascale implementation of tele-immersion
ICCS'03 Proceedings of the 2003 international conference on Computational science
Data compression for light-field rendering
IEEE Transactions on Circuits and Systems for Video Technology
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Using multiple cameras, a dynamic real world scene can be captured, represented, and streamed for realistic interaction in a 3D immersive system. One method to represent the dynamic environment is to use multiple depth streams - streams with color and depth information. However the captured data is too large to be streamed uncompressed. Fortunately, these data exhibit spatial and temporal coherence that can be used for compression. In this paper, we examine the initial step in compressing multiple depth streams. To use spatial coherence between streams to compress multiple depth streams, base reference streams - intrastreams - have to be encoded without the use of other depth streams. We investigate encoding of this base depth stream using only temporal coherence. The proposed algorithm extends video stream encoding techniques to encode color and depth. We show that for encoding a depth stream which requires high quality, such as base reference streams, using separate motion vectors to encode color and depth performs better than using a single motion vector.