  This paper introduces a novel method for transmitting video data over noisy
wireless channels with high efficiency and controllability. The method
derivates from model division multiple access (MDMA) to extract common semantic
features from video frames. It also uses deep joint source-channel coding
(JSCC) as the main framework to establish communication links and deal with
channel noise. An entropy-based variable length coding scheme is developed to
adjust the data amount accurately and explicitly. We name our method as model
division video semantic communication (MDVSC). The main steps of our approach
are as follows: first, video frames are transformed into a latent space to
reduce computational complexity and redistribute data. Then, common features
and individual features are extracted, and variable length coding is applied to
further eliminate redundant semantic information under the communication
bandwidth constraint. We evaluate our method on standard video test sequences
and compare it with traditional wireless video coding methods. The results show
that MDVSC generally surpasses the conventional methods in terms of quality
metrics and has the capability to control code length precisely. Moreover,
additional experiments and ablation studies are conducted to demonstrate its
potential for various tasks.
