Research on Adding Global Registration Model in Video Coding With Local Affine Motion Model
Zhe Zheng, Wei Ma, Jinghua Liu, Jinghui Lu, Song Qiu, Rui Liu, Wenpeng Cui · IET Computers & Digital Techniques · 2025
With the widespread application of local affine (LA) motion models in various video coding standards, this study explores the implementation methods and performance changes of introducing a global registration model in an encoder that already includes a LA motion model. First, a coding scheme combining global and local registration is achieved by incorporating global registration computation, optimizing reference frame selection strategies, and macroblock mode selection strategies. Second, through experiments, the impact of introducing a global warp motion model and a global translational (GT) registration model on performance is further compared. The results indicate that the introduction of a global warp motion model leads to functional redundancy and mutual interference, with higher computational complexity and limited overall benefits. On the other hand, introducing a GT registration model can complement and enhance the coding performance for translation scenarios, working in synergy with the LA model, while maintaining lower computational complexity and greater practicality.