Video Visualization for Snooker Skill Training

We present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature video processing techniques. Thi...

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Veröffentlicht in:Computer graphics forum Jg. 29; H. 3; S. 1053 - 1062
Hauptverfasser: Höferlin, M., Grundy, E., Borgo, R., Weiskopf, D., Chen, M., Griffiths, I. W., Griffiths, W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.06.2010
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ISSN:0167-7055, 1467-8659
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Abstract We present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static visualization, removing the burden of repeated video viewing. We extended the VPG design to accommodate the need for depicting multiple video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and non‐spatial attributes. Our results and evaluation have shown that video visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost‐effective means for assessing skill levels and monitoring progress objectively and consistently.
AbstractList AbstractWe present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static visualization, removing the burden of repeated video viewing. We extended the VPG design to accommodate the need for depicting multiple video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and non-spatial attributes. Our results and evaluation have shown that video visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost-effective means for assessing skill levels and monitoring progress objectively and consistently.
We present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static visualization, removing the burden of repeated video viewing. We extended the VPG design to accommodate the need for depicting multiple video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and non‐spatial attributes. Our results and evaluation have shown that video visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost‐effective means for assessing skill levels and monitoring progress objectively and consistently.
We present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static visualization, removing the burden of repeated video viewing. We extended the VPG design to accommodate the need for depicting multiple video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and non-spatial attributes. Our results and evaluation have shown that video visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost-effective means for assessing skill levels and monitoring progress objectively and consistently. [PUBLICATION ABSTRACT]
Author Chen, M.
Höferlin, M.
Griffiths, I. W.
Grundy, E.
Weiskopf, D.
Griffiths, W.
Borgo, R.
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  organization: Swansea University
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  surname: Borgo
  fullname: Borgo, R.
  organization: Swansea University
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  organization: Swansea University
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  surname: Griffiths
  fullname: Griffiths, I. W.
  organization: Swansea University
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  organization: Terry Griffiths Matchroom
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References_xml – reference: Everton C.: Snooker & Billiards: Technique * Tactics * Training. Crowood Press, 1991.
– reference: Caspi Y., Axelrod A., Matsushita Y., Gamliel A.: Dynamic stills and clip trailers. The Visual Computer 22, 9 (2006), 642-652.
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– reference: D'Orazio T., Leo M., Spagnolo P., Nitti M., Mosca N., Distante A.: A visual system for real time detection of goal events during soccer matches. Computer Vision and Image Understanding 113, 5 (2009), 622-632.
– reference: Ebert D. S., Morris C. J., Rheingans P., Yoo T. S.: Designing effective transfer functions for volume rendering from photographic volumes. IEEE Transactions on Visualization and Computer Graphics 8, 2 (2002), 183-197.
– reference: Reisfeld D., Wolfson H., Yeshurun Y.: Context free attentional operators: the generalized symmetry transform. International Journal of Computer Vision 14 (1995), 119-130.
– reference: Wang Y., Krum D. M., Coelho E. M., Bowman D. A.: Contextualized videos: Combining videos with environmentmodels to support situational understanding. IEEE Transactions on Visualization and Computer Graphics 13, 6 (2007), 1568-1575.
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– reference: Magee D., Pers J. (eds.): Computer vision based analysis in sport environments. Computer Vision and Image Understanding 113, 5 (2009), 589-662.
– reference: Sheikh A. A., Korn E. R. (Eds.): Imagery in Sports and Physical Performance. Baywoord, 1994.
– reference: Pingali G. S., Opalach A., Jean Y D., Carlbom I. B.: Instantly indexed multimedia databases of real world events. IEEE Transactions on Multimedia 4, 2 (2002), 269-282.
– reference: Perše M., Kristan M., and G.Vučkovič S. K., Perš J.: A trajectory-based analysis of coordinated team activityin a basketball game. Computer Vision and Image Understanding 113, 5 (2009), 612-621.
– reference: Ren J., Orwell J., Jones G. A., Xu M.: Tracking the soccer ball using multiple fixed cameras. Computer Vision and Image Understanding 113, 5 (2009), 633-642.
– reference: Romero M., Summet J., Stasko J., Abowd G.: Viz-A-Vis: Toward visualizing video through computer vision. IEEE Transactions on Visualization and Computer Graphics 14, 6 (2008), 1261-1268.
– reference: Ware C.: Information Visualization: Perception for Design, 2nd ed. Morgan Kaufmann Publishers Inc., San Francisco. CA , USA , 2004.
– reference: Aggarwal J. K., Cai Q.: Human motion analysis: a review. Computer Vision and Image Understanding 73, 3 (1999), 428-440.
– reference: Gavrila D. M.: The visual analysis of human movement: a survey. Computer Vision and Image Understanding 73, 1 (1999), 82-98.
– reference: Yan F., Christmas W., Kittler J.: Layered data association using graph-theoretic formulation with applications to tennis ball tracking in monocular sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 30, 10 (2008), 1814-1830.
– reference: Kristan M., Perš J., Perše M., Kovačič S.: Closed-world tracking of multiple interacting targets forindoor-sports applications. Computer Vision and Image Understanding 113, 5 (2009), 598-611.
– reference: Caglioti V., Giusti A.: Recovering ball motion from a single motion-blurred image. Computer Vision and Image Understanding 113, 5 (2009), 590-597. Computer Vision Based Analysis in Sport Environments.
– reference: Assa J., Caspi Y., Cohen-Or D.: Action synopsis: pose selection and illustration. ACM Transactions on Graphics 24, 3 (2005), 667-676.
– reference: Dony R. D., Mateer J. W., Robinson J. A.: Techniques for automated reverse storyboarding. IEE Journal of Vision, Image and Signal Processing 15, 4 (2005), 425-436.
– reference: Bradski G. R., Kaehler A.: Learning OpenCV: Computer Vision with the OpenCV Library. O'Reilly, 2008.
– reference: Williams K., Lowe T. (Eds.): Snooker: Know the Game. A & C Black, 2002.
– reference: CLIFFORD W. G.: Winning Snooker. Foulsham , 1981.
– reference: Chen M., Botchen R. P., Hashim R. R., Weiskopf D., Ertl T., Thornton I. M.: Visual signatures in video visualization. IEEE Transactions on Visualization and Computer Graphics 12, 5 (2006), 1093-1100.
– volume: 13
  start-page: 1568
  issue: 6
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  end-page: 1575
  article-title: Contextualized videos: Combining videos with environmentmodels to support situational understanding
  publication-title: IEEE Transactions on Visualization and Computer Graphics
– volume: 14
  start-page: 1261
  issue: 6
  year: 2008
  end-page: 1268
  article-title: Viz‐A‐Vis: Toward visualizing video through computer vision
  publication-title: IEEE Transactions on Visualization and Computer Graphics
– volume: 4
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  issue: 2
  year: 2002
  end-page: 282
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  publication-title: IEEE Transactions on Multimedia
– volume: 113
  start-page: 589
  issue: 5
  year: 2009
  end-page: 662
  article-title: Computer vision based analysis in sport environments
  publication-title: Computer Vision and Image Understanding
– volume: 30
  start-page: 1814
  issue: 10
  year: 2008
  end-page: 1830
  article-title: Layered data association using graph‐theoretic formulation with applications to tennis ball tracking in monocular sequences
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Snippet We present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent...
AbstractWe present a feasibility study on using video visualization to aid snooker skill training. By involving the coaches and players in the loop of...
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SubjectTerms 1.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms
Automation
Clubs
Computer graphics
Feasibility studies
I.3.m [Computer Graphics]: Miscellaneous-Video visualization
Reasoning
Semantics
Skills
Studies
Training
Video
Viewing
Visualization
Title Video Visualization for Snooker Skill Training
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Volume 29
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