Reproduce “Shot2Tactic-Caption: Multi-Scale Captioning of Badminton Videos for Tactical Understanding” on OpenResearch
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About this paper
Ning Ding, Keisuke Fujii, Toru Tamaki
Researchers from Nagoya Institute of Technology and Nagoya University introduced Shot2Tactic-Caption, a multi-scale video captioning framework for badminton that generates both fine-grained shot descriptions and high-level tactical narratives. The system incorporates a new dataset and explicitly models dynamic tactical flow, achieving an 89.28% accuracy for tactic unit detection and significant caption quality improvements through a novel shot-wise prompt-guided mechanism.
Key insights
- Explicitly modeling dynamic tactical states (Start, Continue, Interrupt, Resume, Finish) is crucial for a robust and nuanced interpretation of tactical execution in competitive sports.
- Structured, temporally aligned, shot-wise prompts are highly effective for injecting tactical context into the captioning process, significantly improving the coherence and accuracy of high-level tactic descriptions.
- A ResNet-based encoder, which preserves fine-grained spatial detail combined with effective temporal modeling, performs optimally for video captioning in racket sports characterized by subtle motion patterns.
Summary by alphaXiv.
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