Image Processing Reference
In-Depth Information
Fig. 4.17 Inter-view
derivation of a second DV
Table 4.3 BD-rate variations
for improved NBDV and
IVMP using one DV for each
inter-view reference picture
Reference: 3D-HEVC (HTM7.0 without modifications)
3
3 views
11
5 views
Coast
Akko
Coast
Akko
Adaptation only
1.1%
2.3%
2.4%
3.3%
1.2%
2.4%
2.7%
3.7%
BiDMV
2 IPMC
1.1%
2.3%
2.8%
3.5%
Both
1.3%
2.5%
3.1%
3.9%
Table 4.4 BD-rate variations
for improved NBDV and
IVMP with inter-view
derivation of a second DV
Reference: 3D-HEVC (HTM7.0 without modifications)
3
3 views
11
5 views
Coast
Akko
Coast
Akko
BiDMV + derivation
1.9%
2.9%
3.4%
3.9%
2 IPMC + derivation
1.3%
2.4%
2.8%
3.5%
2.0%
2.9%
3.9%
4.2%
Both + derivation
software version 7.0 (HTM7.0). The test conditions are the same as in Sect. 4.3.2.2 ,
(i.e., allowing two dimensional structures configuration). The Central2D structure
(proposed in Sect. 4.3.2 ) is used in all the following experiments. The reference is
HTM7.0 without software modifications.
In Table 4.3 , the BD-rate gains provided by the adaptation of NBDV and IVMP
to a two dimensional structure are up to 3.3%. It confirms the impact of the use of
horizontal and vertical dimensions at the inter-view references structure level. The
insertion of a second IPMC in the merge candidate list and the bi-prediction for the
DMV merge candidate separately increase the gains up to 2.4% for the 3
3 views
configuration and 3.7% for the 11
5 views configuration. The combination of
both provides a gain up to 2.5% and 3.9%, respectively, with 3
5 views. The combination of both tools provides slightly higher gain than the sum
of each taken separately because the bi-prediction allows NBDV to find more often
a second DV, which increases the chances to create a relevant second IPMC
candidate. Table 4.4 shows that the proposed derivation for the second DV is
3 and with 11
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