{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:16:33Z","timestamp":1726031793916},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030225131"},{"type":"electronic","value":"9783030225148"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-22514-8_16","type":"book-chapter","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T06:02:43Z","timestamp":1560232963000},"page":"190-202","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-level Motion-Informed Approach for Video Generation with Key Frames"],"prefix":"10.1007","author":[{"given":"Zackary P. T.","family":"Sin","sequence":"first","affiliation":[]},{"given":"Peter H. F.","family":"Ng","sequence":"additional","affiliation":[]},{"given":"Simon C. K.","family":"Shiu","sequence":"additional","affiliation":[]},{"given":"Fu-lai","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Hong Va","family":"Leong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,12]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Tulyakov, S., Liu, M.-Y., Yang, X., Kautz, J.: MoCoGAN: decomposing motion and content for video generation. In: CVPR Workshop (2017)","DOI":"10.1109\/CVPR.2018.00165"},{"key":"16_CR2","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. In: Proceedings of ICLR (2013)"},{"key":"16_CR3","unstructured":"Goodfellow, I.J., et al.: Generative adversarial nets. In: Proceedings of NIPS (2014)"},{"key":"16_CR4","unstructured":"Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. In: Proceedings of NIPS (2016)"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Saito, M., Matsumoto, E., Saito, S.: Temporal generative adversarial nets with singular value clipping. In: Proceedings of ICCV (2017)","DOI":"10.1109\/ICCV.2017.308"},{"issue":"8","key":"16_CR6","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"16_CR7","unstructured":"Mathieu, M., Couprie, C., LeCun, Y.: Deep multi-scale video prediction beyond mean square error. In: Proceedings of ICLR (2016)"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Walker, J., Marino, K., Gupta, A., Hebert, M.: Video forecasting by generating pose futures. In: Proceedings of ICCV (2017)","DOI":"10.1109\/ICCV.2017.361"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Liang, X., Lee, L., Dai, W., Xing, E.P.: Dual motion GAN for future-flow embedded video prediction. In: Proceedings of ICCV (2017)","DOI":"10.1109\/ICCV.2017.194"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Liu, Z., Yeh, R.A., Tang, X., Liu, Y., Agarwala, A.: Video frame synthesis using deep voxel flow. In: Proceedings of ICCV (2017)","DOI":"10.1109\/ICCV.2017.478"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Chan, C., Ginosar, S., Zhou, T., Efros, A.A.: Everybody dance now. In: ECCV Workshop (2018)","DOI":"10.1109\/ICCV.2019.00603"},{"key":"16_CR12","unstructured":"Wang, T.-C., et al.: Video-to-video synthesis. In: Proceedings of NIPS (2018)"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of International Conference on Empirical Methods in NLP (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: Proceedings of International Conference on Pattern Recognition (2004)","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"16_CR15","unstructured":"Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. In: Proceedings of ICCV (2005)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22514-8_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T05:27:47Z","timestamp":1608269267000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-22514-8_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030225131","9783030225148"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22514-8_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Calgary, AB","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"36","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cgs-network.org\/cgi19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}