TY - GEN
T1 - An iterative algorithm for efficient adaptive GOP size in transform domain Wyner-Ziv video coding
AU - DinhQuoc, Khanh
AU - HoangVan, Xiem
AU - Jeon, Byeungwoo
PY - 2011
Y1 - 2011
N2 - Transform Domain Wyner-Ziv Video Coding (TDWZ) is one of the most popular paradigms of Distributed Video Coding (DVC) which supports low encoding complexity. However, there is still a gap in its coding performance compared to conventional video coding standards such as MPEG-x, or H.264/AVC. In order for TDWZ to reach comparable performance to them, a good method for deciding a proper Group of Picture (GOP) size is in great necessity. From this point of view, we propose an iterative algorithm which efficiently determines GOP size based on an intra mode decision method at frame level. This approach firstly constructs a coarse GOP size and then refines it by iterative checking for final GOP size. Experimental results show superiority of the proposed algorithm with improvement up to 2dB in term of coding efficiency.
AB - Transform Domain Wyner-Ziv Video Coding (TDWZ) is one of the most popular paradigms of Distributed Video Coding (DVC) which supports low encoding complexity. However, there is still a gap in its coding performance compared to conventional video coding standards such as MPEG-x, or H.264/AVC. In order for TDWZ to reach comparable performance to them, a good method for deciding a proper Group of Picture (GOP) size is in great necessity. From this point of view, we propose an iterative algorithm which efficiently determines GOP size based on an intra mode decision method at frame level. This approach firstly constructs a coarse GOP size and then refines it by iterative checking for final GOP size. Experimental results show superiority of the proposed algorithm with improvement up to 2dB in term of coding efficiency.
KW - Adaptive GOP size
KW - Distributed Video Coding
KW - Hierarchical structure
KW - Intra mode decision
UR - https://www.scopus.com/pages/publications/82155185330
U2 - 10.1007/978-3-642-25346-1_31
DO - 10.1007/978-3-642-25346-1_31
M3 - Conference contribution
AN - SCOPUS:82155185330
SN - 9783642253454
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 347
EP - 358
BT - Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
T2 - 5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
Y2 - 20 November 2011 through 23 November 2011
ER -