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Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 52-341
Full Name: Yuehou Si
Position: Student
Age: ON
Sex: Female
Address: Faculty of Information Science and Engineering,Ningbo University,315211 Ningbo
Country: CHINA
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E-mail address: yumei@nbu.edu.cn
Other E-mails: siyuehou444@163.com
Title of the Paper: Three Dimensional Perception based Depth Preprocessing Method for Depth Map Coding
Authors as they appear in the Paper: Mei Yu, Zongju Peng And Feng Shao
Email addresses of all the authors: yumei@nbu.edu.cn;pengzongju@nbu.edu.cn;shaofeng@nbu.edu.cn
Number of paper pages: 11
Abstract: Multiview video plus depth (MVD) data format is proposed as the main three dimensional (3D) representation that supports 3D video (3DV) system. It consists of multiview color video and multiple associated depth videos which indicate the distance between the captured scene and cameras. Due to the limitation of current obtaining depth video techniques, the obtained depth map may be not accurate. The inaccuracy will make the original continuous contents, such as background, foreground and static objects, be discontinuous in real depth map. This will result in poor virtual view rendering performance and low depth compression efficiency in 3DV system. To solve the problem, we propose a novel depth preprocessing method based on 3D perception to eliminate the errors in depth video and improve the compression efficiency of depth video in this paper. Firstly, we define a perception factor according to 3D perception of human visual system. In 3DV system, human visual attent!
ion is attracted not only by image visual attention effect, but also by particular 3D perception. Then the perception factor is utilized to decide which part of depth map should be protected and which part need to be smoothed by low-pass filtering in the spatial or temporal dimension. And then, the preprocessing depth and color videos are transformed into new videos in which a frame is composed of the same rows of pixels in original video in temporal direction. The transformed depth video is smoothened with the aid of transformed color video. Finally, the smoothened depth video is reconstructed into the final depth video. Experimental results show that the proposed method saves the bit-rate by 7.02%~48.34% in depth compression while it keeps the virtual view rendering performance.
Keywords: Three-dimensional video (3DV); depth video; three dimensional perception; perception factor; depth preprocessing
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