NDLI: Software and hardware design for coding depth map sequence with texture motion information

Content Provider	IEEE Xplore Digital Library
Author	Po-Ting Chiang Yung-Chang Chen
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C. (Po-Ting Chiang; Yung-Chang Chen)
Abstract	Due to the local smoothness characteristic of most real-world object surfaces, the per-pixel depth information can be efficiently compressed instead of using an additional color video channel. However, the complexity and hardware requirement are nearly two times higher than coding 2D video. By using sharing-of-motion-information method and analyzing the relationships between texture video and depth map sequence the complexity can be reduced. We propose predictive motion estimation algorithm to modify the texture motion information and mode reduction to reduce the complexity. In our algorithm, it doesn't need any additional effort on the decoder, and the image quality can also be approximated to original H.264 at low bit-rate. At high bit-rate, our algorithm outperforms other sharing of motion information algorithm. In the hardware design, due to complexity reduction we can reduce the hardware requirement. The overall depth map sequence encoder can be smaller than original H.264 encoder. We also solve the bubble cycles problem at 8×8 PE2D processing time.
Starting Page	1052
Ending Page	1055
File Size	918102
Page Count	4
File Format	PDF
ISBN	9781424438273
DOI	10.1109/ISCAS.2009.5117940
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hardware Software design Video sharing Video compression Image sequence analysis Image texture analysis Motion estimation Prediction algorithms Decoding Image quality
Content Type	Text
Resource Type	Article

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