Augmenting Sports Videos with VisCommentator

by   Zhutian Chen, et al.

Visualizing data in sports videos is gaining traction in sports analytics, given its ability to communicate insights and explicate player strategies engagingly. However, augmenting sports videos with such data visualizations is challenging, especially for sports analysts, as it requires considerable expertise in video editing. To ease the creation process, we present a design space that characterizes augmented sports videos at an element-level (what the constituents are) and clip-level (how those constituents are organized). We do so by systematically reviewing 233 examples of augmented sports videos collected from TV channels, teams, and leagues. The design space guides selection of data insights and visualizations for various purposes. Informed by the design space and close collaboration with domain experts, we design VisCommentator, a fast prototyping tool, to eases the creation of augmented table tennis videos by leveraging machine learning-based data extractors and design space-based visualization recommendations. With VisCommentator, sports analysts can create an augmented video by selecting the data to visualize instead of manually drawing the graphical marks. Our system can be generalized to other racket sports (e.g., tennis, badminton) once the underlying datasets and models are available. A user study with seven domain experts shows high satisfaction with our system, confirms that the participants can reproduce augmented sports videos in a short period, and provides insightful implications into future improvements and opportunities.


page 1

page 4

page 5

page 6

page 7

page 9


Sporthesia: Augmenting Sports Videos Using Natural Language

Augmented sports videos, which combine visualizations and video effects ...

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

In geographic data videos, camera movements are frequently used and comb...

WonderFlow: Narration-Centric Design of Animated Data Videos

Creating an animated data video enriched with audio narration takes a si...

Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay

Data visualizations and narratives are often integrated to convey data s...

VCoach: A Customizable Visualization and Analysis System for Video-based Running Coaching

Videos are accessible media for analyzing sports postures and providing ...

DataTV: Streaming Data Videos for Storytelling

Data videos – motion graphics that incorporate visualizations – have bee...

Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts

The circulation of historical books has always been an area of interest ...

Please sign up or login with your details

Forgot password? Click here to reset