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Title: To start automatic commentary of soccer game with mixed spatial and temporal attention
Author(s): Chan, Anthony Hing-Hung 
Siu, Wan Chi 
Chan, Sin Wai 
Chan, Cheuk Yiu 
Hui, Chun Chuen 
Issue Date: 2022
Publisher: IEEE
Related Publication(s): Proceedings of the 2022 IEEE Region 10 Conference (TENCON)
Start page: 191
End page: 196
We watch soccer games because of the excitement, the skill of players, the brand name of soccer teams, etc. However, contribution of the commentary is also indispensable. At this stage of our technology development, it is good to have automatic commentary to be provided by our computer. This paper is on the production of soccer commentary automatically making use of hi-tech and deep learning. There are many aspects on the production. However, we just concentrate on the production of key commentaries. We make use of spatial-temporal representation with 2 stages of operations to design our transformer network. This involves Temporal-Grouped Attention that dynamically separates and groups all channels together for the advantage of extracting temporal domain features, Local-Global Mixed Attention that enforces the model to find relationship between local and global feature representations in one attention structure, and Selective Feature Aggregation to intelligently select the final weights between the two attention networks. Our results provides key commentaries in line with other state-of-the-art approaches but with high potential to be further developed to real-time commentary system.
DOI: 10.1109/TENCON55691.2022.9978078
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

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