TY - JOUR
T1 - Diving Deep into Time: Temporal Arrangements for Embedded Visualization in Swimming Videos
AU - Tang, Junxiu
AU - Yao, Lijie
AU - Ying, Lu
AU - Vuillemot, Romain
AU - Isenberg, Petra
N1 - Publisher Copyright:
© 2026 IEEE. All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.
PY - 2026
Y1 - 2026
N2 - We introduce a temporal arrangement framework for embedding visualizations in sports videos with a focus on swimming. Our work is inspired by strategies used in current TV broadcasts, where visualizations are selectively displayed to provide meaningful and engaging information to audiences. We began with a systematic review of TV broadcast practices, through which we identified recurring temporal combinations of visualizations and competition statuses, which we define as patterns of temporal arrangement for embedded visualizations. To move beyond the constraints of existing broadcast practices, we then conducted a formative study with a general population. Based on this broader perspective, we designed a configuration framework that allows us to formally specify when and for how long, related to swimming context metadata, visualizations appear in a video. We instantiate the framework in a technology probe, SwimChrono, for applications with real-world swimming context videos. Through audience-customized configurations, SwimChrono supports novel arrangements beyond those used in existing professional settings, is adaptable to various swimming contexts, including different lengths and swimming styles, and key events. Furthermore, we conduct user studies and contribute use cases to illustrate how our framework can be well applied for diverse needs.
AB - We introduce a temporal arrangement framework for embedding visualizations in sports videos with a focus on swimming. Our work is inspired by strategies used in current TV broadcasts, where visualizations are selectively displayed to provide meaningful and engaging information to audiences. We began with a systematic review of TV broadcast practices, through which we identified recurring temporal combinations of visualizations and competition statuses, which we define as patterns of temporal arrangement for embedded visualizations. To move beyond the constraints of existing broadcast practices, we then conducted a formative study with a general population. Based on this broader perspective, we designed a configuration framework that allows us to formally specify when and for how long, related to swimming context metadata, visualizations appear in a video. We instantiate the framework in a technology probe, SwimChrono, for applications with real-world swimming context videos. Through audience-customized configurations, SwimChrono supports novel arrangements beyond those used in existing professional settings, is adaptable to various swimming contexts, including different lengths and swimming styles, and key events. Furthermore, we conduct user studies and contribute use cases to illustrate how our framework can be well applied for diverse needs.
KW - augmented sports video
KW - design pattern
KW - Embedded visualization
KW - sports visualization
KW - visualization in motion
UR - https://www.scopus.com/pages/publications/105038208847
UR - https://hal.science/hal-05612503
UR - https://aviz.gitlabpages.inria.fr/swimchrono/
UR - https://osf.io/t82cw
UR - https://github.com/ahugh19/SwimChrono
U2 - 10.1109/TVCG.2026.3689361
DO - 10.1109/TVCG.2026.3689361
M3 - Article
AN - SCOPUS:105038208847
SN - 1077-2626
SP - 1
EP - 17
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
ER -