文件名称:A1L-A02
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- 上传时间:2012-11-16
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Based on the idea to exploit the statistical dependencies
from both temporal and inter-view reference pictures for
motion compensated prediction, this paper presents a sys-
tematic evaluation of multi-view video coding with opti-
mized prediction structures. The compression method is
based on the multiple reference picture technique in the
H.264/AVC video coding standard. The advantages of hier-
archical B pictures for temporal prediction are combined
with inter-view prediction for different temporal hierarchy
levels, starting from simulcast coding with no inter-view
prediction up to full level inter-view prediction. When using
inter-view prediction at key picture temporal level average
gains of 1.4 dB PSNR are reported, while additionally using
inter-view prediction at non-key picture temporal levels av-
erage gains of 1.6 dB PSNR are reported. For some cases
gains of more than 3 dB, corresponding to bit rate savings of
up to 50 , are obtained.-Based on the idea to exploit the statistical dependencies
from both temporal and inter-view reference pictures for
motion compensated prediction, this paper presents a sys-
tematic evaluation of multi-view video coding with opti-
mized prediction structures. The compression method is
based on the multiple reference picture technique in the
H.264/AVC video coding standard. The advantages of hier-
archical B pictures for temporal prediction are combined
with inter-view prediction for different temporal hierarchy
levels, starting from simulcast coding with no inter-view
prediction up to full level inter-view prediction. When using
inter-view prediction at key picture temporal level average
gains of 1.4 dB PSNR are reported, while additionally using
inter-view prediction at non-key picture temporal levels av-
erage gains of 1.6 dB PSNR are reported. For some cases
gains of more than 3 dB, corresponding to bit rate savings of
up to 50 , are obtained.
from both temporal and inter-view reference pictures for
motion compensated prediction, this paper presents a sys-
tematic evaluation of multi-view video coding with opti-
mized prediction structures. The compression method is
based on the multiple reference picture technique in the
H.264/AVC video coding standard. The advantages of hier-
archical B pictures for temporal prediction are combined
with inter-view prediction for different temporal hierarchy
levels, starting from simulcast coding with no inter-view
prediction up to full level inter-view prediction. When using
inter-view prediction at key picture temporal level average
gains of 1.4 dB PSNR are reported, while additionally using
inter-view prediction at non-key picture temporal levels av-
erage gains of 1.6 dB PSNR are reported. For some cases
gains of more than 3 dB, corresponding to bit rate savings of
up to 50 , are obtained.-Based on the idea to exploit the statistical dependencies
from both temporal and inter-view reference pictures for
motion compensated prediction, this paper presents a sys-
tematic evaluation of multi-view video coding with opti-
mized prediction structures. The compression method is
based on the multiple reference picture technique in the
H.264/AVC video coding standard. The advantages of hier-
archical B pictures for temporal prediction are combined
with inter-view prediction for different temporal hierarchy
levels, starting from simulcast coding with no inter-view
prediction up to full level inter-view prediction. When using
inter-view prediction at key picture temporal level average
gains of 1.4 dB PSNR are reported, while additionally using
inter-view prediction at non-key picture temporal levels av-
erage gains of 1.6 dB PSNR are reported. For some cases
gains of more than 3 dB, corresponding to bit rate savings of
up to 50 , are obtained.
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