TY - GEN
T1 - Adaptive spatial error concealment (SEC) with more accurate MB type decision in H.264/AVC
AU - Wang, Jun
AU - Wang, Lei
AU - Ikenaga, T.
AU - Goto, S.
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (macro blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For choice of the appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous approaches, which are only based on deterministic measurement, proposed method achieves more accurate MB type decision which leads to better image recovery. Subjective and objective image quality evaluations in experiments confirmed this.
AB - Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (macro blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For choice of the appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous approaches, which are only based on deterministic measurement, proposed method achieves more accurate MB type decision which leads to better image recovery. Subjective and objective image quality evaluations in experiments confirmed this.
KW - Adaptive
KW - H.264/AVC
KW - Intra prediction mode
KW - SEC
KW - Standard deviation
UR - http://www.scopus.com/inward/record.url?scp=67649148189&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649148189&partnerID=8YFLogxK
U2 - 10.1049/cp:20080413
DO - 10.1049/cp:20080413
M3 - Conference contribution
AN - SCOPUS:67649148189
SN - 9780863419140
T3 - IET Conference Publications
SP - 759
EP - 764
BT - 5th International Conference on Visual Information Engineering, VIE 2008
T2 - 5th International Conference on Visual Information Engineering, VIE 2008
Y2 - 29 July 2008 through 1 August 2008
ER -