TY - JOUR
T1 - H.264/SVC mode decision based on optimal stopping theory
AU - ZHAO, Tiesong
AU - KWONG, Sam
AU - WANG, Hanli
AU - KUO, C.-C. Jay
PY - 2012/5
Y1 - 2012/5
N2 - Fast mode decision algorithms have been widely used in the video encoder implementation to reduce encoding complexity yet without much sacrifice in the coding performance. Optimal stopping theory, which addresses early termination for a generic class of decision problems, is adopted in this paper to achieve fast mode decision for the H.264/Scalable Video Coding standard. A constrained model is developed with optimal stopping, and the solutions to this model are employed to initialize the candidate mode list and predict the early termination. Comprehensive simulation results are conducted to demonstrate that the proposed method strikes a good balance between low encoding complexity and high coding efficiency. © 1992-2012 IEEE.
AB - Fast mode decision algorithms have been widely used in the video encoder implementation to reduce encoding complexity yet without much sacrifice in the coding performance. Optimal stopping theory, which addresses early termination for a generic class of decision problems, is adopted in this paper to achieve fast mode decision for the H.264/Scalable Video Coding standard. A constrained model is developed with optimal stopping, and the solutions to this model are employed to initialize the candidate mode list and predict the early termination. Comprehensive simulation results are conducted to demonstrate that the proposed method strikes a good balance between low encoding complexity and high coding efficiency. © 1992-2012 IEEE.
KW - All-zero block (AZB) detection
KW - interlayer prediction
KW - mode decision
KW - optimal stopping
KW - scalable video coding (SVC)
UR - http://www.scopus.com/inward/record.url?scp=84860147807&partnerID=8YFLogxK
U2 - 10.1109/TIP.2012.2186148
DO - 10.1109/TIP.2012.2186148
M3 - Journal Article (refereed)
SN - 1057-7149
VL - 21
SP - 2607
EP - 2618
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 5
ER -