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Non-EE2: Diversity reordering for ARMC pairwise candidates
Abstract
This contribution proposes a modification to the process of Adaptive Reordering Merge Candidates list (ARMC). It is proposed to apply diversity reordering after the first reordering process and before deriving the pairwise-average merge candidates, aiming to establish a more diverse list of merge candidates for the pairwise-average merge. The test results on top of ECM-17.0 are summarized as follows:
JVET-AM0072 Non-EE2: Diversity reordering for ARMC pairwise candidates [C. Wang, Y. Yu, L. Zhang, Z. Xie, H. Yu, D. Wang (OPPO)]
This contribution proposes a modification to the process of Adaptive Reordering Merge Candidates list (ARMC). It is proposed to apply diversity reordering after the first reordering process and before deriving the pairwise-average merge candidates, aiming to establish a more diverse list of merge candidates for the pairwise-average merge. The test results on top of ECM-17.0 are summarized as follows:
RA: -0.01%/0.01%/0.00%; EncT X% DecT X%;
LDB: -0.03%/0.21%/0.16%; EncT X% DecT X%;
Runtime roughly constant for RA, but some increase in LB for decoding runtime (less in cross-check, may be unreliable).
Some additional checks necessary at decoder, and gain is not significant (also not consistent across classes). Further study was recommended.
Cited:
Decisions
Some additional checks necessary at decoder, and gain is not significant (also not consistent across classes). Further study was recommended.
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