Paper Info
Title
Hybrid Lossless-Lossy Compression for Real-Time Depth-Sensor Streams in 3D Telepresence Applications.
Abstract
We developed and evaluated different schemes for the realtime compression of multiple depth image streams. Our analysis suggests that a hybrid lossless-lossy compression approach provides a good trade-off between quality and compression ratio. Lossless compression based on run length encoding is used to preserve the information of the highest bits of the depth image pixels. The lowest 10-bits of a depth pixel value are directly encoded in the Y channel of a YUV image and encoded by a x264 codec. Our experiments show that the proposed method can encode and decode multiple depth image streams in less than 12 ms on average. Depending on the compression level, which can be adjusted during application runtime, we are able to achieve a compression ratio of about 4:1 to 20:1. Initial results indicate that the quality for 3D reconstructions is almost indistinguishable from the original for a compression ratio of up to 10:1.
Year
DOI
Venue
2015
10.1007/978-3-319-24075-6_43
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2015, PT I
Keywords
Field
DocType
Depth map,Compression,x264,3D Tele-immersion
Computer vision,Lossy compression,Computer science,Communication channel,Run-length encoding,Compression ratio,Artificial intelligence,Pixel,Depth map,Codec,Lossless compression
Conference
Volume
ISSN
Citations 
9314
0302-9743
2
PageRank 
References 
Authors
0.37
15
8
Name
Order
Citations
PageRank
Yunpeng Liu120.37
Stephan Beck216811.27
Renfang Wang3153.87
Jin Li420.37
Huixia Xu520.70
Shijie Yao620.70
Xiaopeng Tong720.37
Bernd Froehlich860767.33