The fused features by utilizing an attention mechanism. The proposed ABPN is designed to learn efficient representations of
This paper, we propose an attention-based bi-prediction network (ABPN) to substitute for the wholeĮxisting bi-prediction methods. So this method is still unable to accurately compensate various kinds of bi-prediction blocks. However, the non-linear optical flow equation in BDOF mode is applied under assumptions, Pixel-wise method called bi-directional optical flow (BDOF) has been proposed to refine bi-predictionīlock.
The linear fusion-based strategy to represent diverse pixel variations inside a block. Methods, such as bi-prediction with CU-level weight (BCW), are applied in VVC, it is still difficult for The coding efficiency significantly by producing a precise fused prediction block. In video coding, inter bi-prediction serves to improve The latest videoĬoding standard, versatile video coding (VVC), can contribute to providing high-quality services byĪchieving superior compression performance. (5G) network is expected to become a key communication technology. As the demands of various network-dependent services such as Internet of things (IoT)Īpplications, autonomous driving, and augmented and virtual reality (AR/VR) increase, the fifthgeneration
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