Channel dynamic range adjustment method for feature tensor compression in split inference

A video decoding device, the video decoding device comprising:

• a processor configured to:
• obtain a feature tensor associated with a video;
• perform channel dynamic range restoration on the feature tensor, wherein the channel dynamic range restoration comprises applying a first learned affine range adjustment model to a first channel associated with the feature tensor and applying a second learned affine range adjustment model to a second channel associated with the feature tensor, and wherein an adjusted feature tensor is determined based on the performed channel dynamic range restoration;
• determine reconstructed features based on the performed channel dynamic range restoration;
• and
• decode the video based on the determined reconstructed features.

A video encoding method, the method comprising:

• obtaining a feature tensor associated with a video;
• performing a channel dynamic range adjustment, wherein the channel dynamic range adjustment comprises applying a first learned affine range adjustment model to a first channel associated with the feature tensor and applying a second learned affine range adjustment model to a second channel associated with the feature tensor, and wherein an adjusted feature tensor is determined based on the performed channel dynamic range adjustment;
• and
• encoding the video based on the adjusted feature tensor.