Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems

• Published in: IEEE transactions on multimedia Vol. 14; no. 1; pp. 121 - 128
• Main Authors: KANG, Min-Koo, HO, Yo-Sung
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2012; Institute of Electrical and Electronics Engineers
• Subjects: 3-D video system; Applied sciences; Artificial intelligence; Bit rate; Computer science; control theory; systems; Depth video coding; Encoding; Exact sciences and technology; geometry-based block partitioning; Image color analysis; intra prediction; Language processing and microprogramming; Materials; Pattern recognition. Digital image processing. Computational geometry; Rendering (computer graphics); Software; Three dimensional displays; Video coding; Video coding; intra prediction; Statistical analysis; Video signal; Image rendering; geometry-based block partitioning; Depth video coding; Information loss; Adaptive coding; Image quality; Image coding; 3-D video system; Stereopsis
• ISSN: 1520-9210; 1941-0077
• DOI: 10.1109/TMM.2011.2169238

Depth video coding is an essential part of 3-D video processing systems. Specifically, object boundary regions are important in depth video coding since these regions significantly affect the visual quality of a synthesized view. In this paper, we propose an efficient depth video coding method to determine precise intra prediction modes and thereby reduce the loss of boundary information. To achieve this objective, we analyze and exploit statistical and geometric characteristics of the depth video. Experimental results subsequently show that the proposed method performs better than the original intra prediction of H.264/AVC in terms of bit savings and rendering quality.