Time-variant multi-hypothesis probability model update for entropy coding
Номер патента: EP4454271A1
Опубликовано: 30-10-2024
Автор(ы): Jingning Han, Yaowu Xu
Принадлежит: Google LLC
Опубликовано: 30-10-2024
Автор(ы): Jingning Han, Yaowu Xu
Принадлежит: Google LLC
Реферат: Entropy coding a sequence of syntax elements using a time-variant multi-hypothesis probability model update is described. A sequence of syntax elements is received, and a symbol for a syntax element of the sequence is determined. The symbol is coded by arithmetic coding using a linear combination of a first probability model and a second probability model. The first probability model is updated using a first time-variant update rate to produce a first updated probability model for entropy coding a symbol for a subsequent syntax element of the sequence, and the second probability model is updated using a second time-variant update rate to produce a second updated probability model for entropy coding the symbol for the subsequent syntax element of the sequence. The first and second time-variant update rates are different.
Time-variant multi-hypothesis probability model update for entropy coding
Номер патента: WO2023163807A1. Автор: Yaowu Xu,Jingning Han. Владелец: Google LLC. Дата публикации: 2023-08-31.