TY - GEN
T1 - Compound Block algorithm of moving object and background in H.264
AU - Jianfeng, Zou
AU - Ding, Rong
PY - 2009
Y1 - 2009
N2 - H.264 is the newest video encoding algorithm introduced by ITU, which adopts block matching algorithm(BMA) and supports multiple reference frame. If video sequences only have single moving object and background pictures, using BMA may lead to prediction error and even decreased coding efficiency. And in the object based coding, additional bits for encoding the shape of the objects are required and syntax of H.264 is also needed to improve. In this paper, a compound block algorithm of moving object and background(CBA) is proposed. Firstly each block is regarded as a composition of a background plane and a moving object plane, and the two plane are predicted respectively. Secondly, the boundary separating the two parts is predicted from boundary in the previous decoded frame and the best vector is selected out by a boundary estimation algorithm. Finally, the prediction errors of the two parts are transmitted by transform, quantization and binary coding, and no additional bits are required. The experimental result show that the PSNR is enhanced by 0.2̃0.9db.
AB - H.264 is the newest video encoding algorithm introduced by ITU, which adopts block matching algorithm(BMA) and supports multiple reference frame. If video sequences only have single moving object and background pictures, using BMA may lead to prediction error and even decreased coding efficiency. And in the object based coding, additional bits for encoding the shape of the objects are required and syntax of H.264 is also needed to improve. In this paper, a compound block algorithm of moving object and background(CBA) is proposed. Firstly each block is regarded as a composition of a background plane and a moving object plane, and the two plane are predicted respectively. Secondly, the boundary separating the two parts is predicted from boundary in the previous decoded frame and the best vector is selected out by a boundary estimation algorithm. Finally, the prediction errors of the two parts are transmitted by transform, quantization and binary coding, and no additional bits are required. The experimental result show that the PSNR is enhanced by 0.2̃0.9db.
KW - Block matching algorithm
KW - Compound block algorithm
KW - H.264
UR - https://www.scopus.com/pages/publications/73549090148
U2 - 10.1109/NCM.2009.282
DO - 10.1109/NCM.2009.282
M3 - 会议稿件
AN - SCOPUS:73549090148
SN - 9780769537696
T3 - NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
SP - 1604
EP - 1606
BT - NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
T2 - NCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications
Y2 - 25 August 2009 through 27 August 2009
ER -