Paper
12 March 2013 An efficient anaglyph stereo video compression pipeline
Adhatus Solichah Ahmadiyah, Guan-Ming Su, Kai-Lung Hua, Yu-Chi Lai
Author Affiliations +
Proceedings Volume 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013; 86500R (2013) https://doi.org/10.1117/12.2001969
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
This paper presents two novel end-to-end stereo video compression pipelines consisting of single-sensor digital camera pairs, the legacy consumer-grade video decoders, and anaglyph displays. As 3D videos contain a large amount of data, efficient compression methods to distribute streams over the current communication infrastructure are highly required. In addition, low computation complexity algorithms to reconstruct the 3D scenes using the existing hardware are also preferred. We proposed two methods to transmit a single encoded stream containing only required data to create anaglyph video from single-sensor camera pairs. Our first proposed method packs and encodes only the required demosaicked color channels used in the anaglyph display in YCbCr 4:4:4 format, whereas the second proposed method repacks the color filter array stereo image pairs into the legacy video format YCbCr 4:2:0 mono and leaves the demosaicking operations at the decoder side. The experimental results demonstrate the superior performance of our proposed methods over the traditional one by achieving up to 4.66 dB improvement in terms of Composite Peak-to-Signal Noise Ratio (CPSNR).
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adhatus Solichah Ahmadiyah, Guan-Ming Su, Kai-Lung Hua, and Yu-Chi Lai "An efficient anaglyph stereo video compression pipeline", Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 86500R (12 March 2013); https://doi.org/10.1117/12.2001969
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video

Video compression

RGB color model

3D video compression

Computer programming

3D video streaming

Cameras

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