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40th Meeting: Geneva, CH, October 2025 2025-10-05 12:10
Non-EE2: On improving CIIP Fusion
Abstract
This contribution proposes a CIIP position-dependent weighted prediction method, that is not limited to fixed weights and makes the weight adjustment more relevant to position. The proposed method was implemented on top of ECM-18.0 software[1]. The simulation results are summarized as follows,
JVET-AN0200 Non-EE2: On improving CIIP Fusion [Y. Wang, X. Zeng, M. Jia, Z. Li, C. Huang (ZTE)] [late]

This contribution proposes a CIIP position-dependent weighted prediction method, that is not limited to fixed weights and makes the weight adjustment more relevant to position. The proposed method was implemented on top of ECM-18.0 software. The simulation results are summarized as follows,

LDB: -0.04%/0.18%/0.07% Y/U/V, 99.9%/99.8% EncT/DecT.

RA (preliminary results): around -0.01% luma gain.

Weight derivation is sometimes changed from subblock level to pixel level.

Not enough interest expressed due to small gain, and it is not a simplification, additional processing at pixel level necessary.

Decisions
Not enough interest expressed due to small gain, and it is not a simplification, additional processing at pixel level necessary.
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