{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:40Z","timestamp":1750220680301,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T00:00:00Z","timestamp":1615075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,7]]},"DOI":"10.1145\/3444685.3446300","type":"proceedings-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T04:48:41Z","timestamp":1620103721000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["An autoregressive generation model for producing instant basketball defensive trajectory"],"prefix":"10.1145","author":[{"given":"Huan-Hua","family":"Chang","sequence":"first","affiliation":[{"name":"National Cheng Kung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Cheng","family":"Chen","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wan-Lun","family":"Tsai","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min-Chun","family":"Hu","sequence":"additional","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Ta","family":"Chu","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n.d.]. STATS SportVU. https:\/\/www.statsperform.com\/team-performance\/basketball\/.  [n.d.]. STATS SportVU. https:\/\/www.statsperform.com\/team-performance\/basketball\/."},{"key":"e_1_3_2_1_2_1","unstructured":"Mart\u00edn Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Man\u00e9 Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Vi\u00e9gas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http:\/\/tensorflow.org\/ Software available from tensorflow.org.  Mart\u00edn Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Man\u00e9 Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Vi\u00e9gas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http:\/\/tensorflow.org\/ Software available from tensorflow.org."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240670"},{"key":"e_1_3_2_1_4_1","volume-title":"9th Annual MIT Sloan Sports Analytics Conference","author":"Franks Alexander","year":"2015","unstructured":"Alexander Franks , Andrew Miller , Luke Bornn , and Kirk Goldsberry . 2015 . Counterpoints: Advanced defensive metrics for nba basketball . In 9th Annual MIT Sloan Sports Analytics Conference , Boston, MA. Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry. 2015. Counterpoints: Advanced defensive metrics for nba basketball. In 9th Annual MIT Sloan Sports Analytics Conference, Boston, MA."},{"key":"e_1_3_2_1_5_1","volume-title":"LLC. Web","author":"Goldsberry Kirk","year":"2013","unstructured":"Kirk Goldsberry and Eric Weiss . 2013. The Dwight effect: A new ensemble of interior defense analytics for the NBA. Sports Aptitude , LLC. Web ( 2013 ), 1--11. Kirk Goldsberry and Eric Weiss. 2013. The Dwight effect: A new ensemble of interior defense analytics for the NBA. Sports Aptitude, LLC. Web (2013), 1--11."},{"key":"e_1_3_2_1_6_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_7_1","volume-title":"Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850","author":"Graves Alex","year":"2013","unstructured":"Alex Graves . 2013. Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 ( 2013 ). Alex Graves. 2013. Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 (2013)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351050"},{"key":"e_1_3_2_1_9_1","unstructured":"Peter J Huber. 199"},{"key":"e_1_3_2_1_10_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_11_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_12_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 6th annual MIT SLOAN sports analytics conference.","author":"Maheswaran Rajiv","year":"2012","unstructured":"Rajiv Maheswaran , Yu-Han Chang , Aaron Henehan , and Samantha Danesis . 2012 . Deconstructing the rebound with optical tracking data . In Proceedings of the 6th annual MIT SLOAN sports analytics conference. Rajiv Maheswaran, Yu-Han Chang, Aaron Henehan, and Samantha Danesis. 2012. Deconstructing the rebound with optical tracking data. In Proceedings of the 6th annual MIT SLOAN sports analytics conference."},{"key":"e_1_3_2_1_14_1","volume-title":"Wavenet: A generative model for raw audio. arXiv preprint arXiv:1609.03499","author":"van den Oord Aaron","year":"2016","unstructured":"Aaron van den Oord , Sander Dieleman , Heiga Zen , Karen Simonyan , Oriol Vinyals , Alex Graves , Nal Kalchbrenner , Andrew Senior , and Koray Kavukcuoglu . 2016 . Wavenet: A generative model for raw audio. arXiv preprint arXiv:1609.03499 (2016). Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. 2016. Wavenet: A generative model for raw audio. arXiv preprint arXiv:1609.03499 (2016)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230744.3230807"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Georges Voronoi. 1908. Nouvelles applications des param\u00e8tres continus \u00e0 la th\u00e9orie des formes quadratiques. Premier m\u00e9moire. Sur quelques propri\u00e9t\u00e9s des formes quadratiques positives parfaites. Journal f\u00fcr die reine und angewandte Mathematik 1908 133 (1908) 97--102.  Georges Voronoi. 1908. Nouvelles applications des param\u00e8tres continus \u00e0 la th\u00e9orie des formes quadratiques. Premier m\u00e9moire. Sur quelques propri\u00e9t\u00e9s des formes quadratiques positives parfaites. Journal f\u00fcr die reine und angewandte Mathematik 1908 133 (1908) 97--102.","DOI":"10.1515\/crll.1908.133.97"},{"key":"e_1_3_2_1_17_1","volume-title":"Containing Papers of a Mathematical or Physical Character 226, 636--646","author":"Yule George Udny","year":"1927","unstructured":"George Udny Yule . 1927. VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbers. Philosophical Transactions of the Royal Society of London. Series A , Containing Papers of a Mathematical or Physical Character 226, 636--646 ( 1927 ), 267--298. George Udny Yule. 1927. VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbers. Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character 226, 636--646 (1927), 267--298."}],"event":{"name":"MMAsia '20: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Virtual Event Singapore","acronym":"MMAsia '20"},"container-title":["Proceedings of the 2nd ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446300","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3444685.3446300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:19Z","timestamp":1750197799000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446300"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,7]]},"references-count":17,"alternative-id":["10.1145\/3444685.3446300","10.1145\/3444685"],"URL":"https:\/\/doi.org\/10.1145\/3444685.3446300","relation":{},"subject":[],"published":{"date-parts":[[2021,3,7]]},"assertion":[{"value":"2021-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}