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Data-driven Summarization and Synchronized Second-screen Enrichment of Cycling Races: Using Live and Historical Sports Data to Reinvent Traditional Reporting.

, , and . AI4TV@MM, page 10-16. ACM, (2019)

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Road cycling safety scoring based on geospatial analysis, computer vision and machine learning., and . Multim. Tools Appl., 82 (6): 8359-8380 (March 2023)Fully Automatic Camera for Personalized Highlight Generation in Sporting Events., , , , and . Sensors, 24 (3): 736 (February 2024)Sensor-Based Performance Monitoring in Track Cycling., , and . MLSA@PKDD/ECML, volume 1571 of Communications in Computer and Information Science, page 167-177. Springer, (2021)SmarterROUTES - A Data-driven Context-aware Solution for Personalized Dynamic Routing and Navigation., and . ACM Trans. Spatial Algorithms Syst., 7 (1): 2:1-2:25 (2020)Video-Based Analysis and Reporting of Riding Behavior in Cyclocross Segments., and . Sensors, 21 (22): 7619 (2021)Video- and Location-based Analysis of Cycling Routes for Safety Measures and Fan Engagement., , , , , and . MMSports@MM, page 29-37. ACM, (2022)Data-driven Summarization of Broadcasted Cycling Races by Automatic Team and Rider Recognition., , , , and . icSPORTS, page 13-21. SCITEPRESS, (2020)GPS Driven Camera Selection in Cyclocross Races for Automatic Rider Story Generation., , and . icSPORTS, page 67-74. SCITEPRESS, (2020)The Need for Data-driven Bike Fitting: Data Study of Subjective Expert Fitting., , , , , and . icSPORTS, page 181-189. ScitePress, (2019)Data-driven Summarization and Synchronized Second-screen Enrichment of Cycling Races: Using Live and Historical Sports Data to Reinvent Traditional Reporting., , and . AI4TV@MM, page 10-16. ACM, (2019)