TY - JOUR
T1 - No-reference quality assessment for networked video via primary analysis of bit stream
AU - Yang, Fuzheng
AU - Wan, Shuai
AU - Xie, Qingpeng
AU - Wu, Hong Ren
PY - 2010/11
Y1 - 2010/11
N2 - A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.
AB - A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.
KW - Coding distortion
KW - networked video
KW - no-reference video quality assessment
KW - packet loss
KW - temporal pooling
UR - http://www.scopus.com/inward/record.url?scp=78149340415&partnerID=8YFLogxK
U2 - 10.1109/TCSVT.2010.2087433
DO - 10.1109/TCSVT.2010.2087433
M3 - 文章
AN - SCOPUS:78149340415
SN - 1051-8215
VL - 20
SP - 1544
EP - 1554
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 11
M1 - 5604300
ER -