{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T20:44:05Z","timestamp":1773693845501,"version":"3.50.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319685595","type":"print"},{"value":"9783319685601","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68560-1_13","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T12:28:21Z","timestamp":1507811301000},"page":"140-151","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network"],"prefix":"10.1007","author":[{"given":"Vedran","family":"Vukoti\u0107","sequence":"first","affiliation":[]},{"given":"Silvia-Laura","family":"Pintea","sequence":"additional","affiliation":[]},{"given":"Christian","family":"Raymond","sequence":"additional","affiliation":[]},{"given":"Guillaume","family":"Gravier","sequence":"additional","affiliation":[]},{"given":"Jan C.","family":"van Gemert","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Fouhey, D.F., Zitnick, C.L.: Predicting object dynamics in scenes. In: CVPR, pp. 2019\u20132026 (2014)","DOI":"10.1109\/CVPR.2014.260"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: A neural algorithm of artistic style. CoRR (2015)","DOI":"10.1167\/16.12.326"},{"key":"13_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-319-10584-0_32","volume-title":"Computer Vision \u2013 ECCV 2014","author":"D-A Huang","year":"2014","unstructured":"Huang, D.-A., Kitani, K.M.: Action-reaction: forecasting the dynamics of human interaction. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 489\u2013504. Springer, Cham (2014). doi:10.1007\/978-3-319-10584-0_32"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. CoRR (2016)","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"13_CR5","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. CoRR (2014)"},{"key":"13_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/978-3-642-33765-9_15","volume-title":"Computer Vision \u2013 ECCV 2012","author":"KM Kitani","year":"2012","unstructured":"Kitani, K.M., Ziebart, B.D., Bagnell, J.A., Hebert, M.: Activity forecasting. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 201\u2013214. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-33765-9_15"},{"issue":"1","key":"13_CR7","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/TPAMI.2015.2430335","volume":"38","author":"HS Koppula","year":"2016","unstructured":"Koppula, H.S., Saxena, A.: Anticipating human activities using object affordances for reactive robotic response. PAMI 38(1), 14\u201329 (2016)","journal-title":"PAMI"},{"key":"13_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/978-3-319-10578-9_45","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T Lan","year":"2014","unstructured":"Lan, T., Chen, T.-C., Savarese, S.: A hierarchical representation for future action prediction. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 689\u2013704. Springer, Cham (2014). doi:10.1007\/978-3-319-10578-9_45"},{"issue":"5","key":"13_CR9","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/TPAMI.2010.147","volume":"33","author":"C Liu","year":"2011","unstructured":"Liu, C., Yuen, J., Torralba, A.: Sift flow: dense correspondence across scenes and its applications. PAMI 33(5), 978\u2013994 (2011)","journal-title":"PAMI"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Mottaghi, R., Bagherinezhad, H., Rastegari, M., Farhadi, A.: Newtonian image understanding: unfolding the dynamics of objects in static images. CoRR (2015)","DOI":"10.1109\/CVPR.2016.383"},{"key":"13_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/978-3-319-49409-8_8","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"SL Pintea","year":"2016","unstructured":"Pintea, S.L., Gemert, J.C.: Making a case for learning motion representations with phase. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016. LNCS, vol. 9915, pp. 55\u201364. Springer, Cham (2016). doi:10.1007\/978-3-319-49409-8_8"},{"key":"13_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/978-3-319-10578-9_12","volume-title":"Computer Vision \u2013 ECCV 2014","author":"SL Pintea","year":"2014","unstructured":"Pintea, S.L., van Gemert, J.C., Smeulders, A.W.M.: D\u00e9j\u00e0 Vu. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 172\u2013187. Springer, Cham (2014). doi:10.1007\/978-3-319-10578-9_12"},{"key":"13_CR13","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. CoRR (2015)"},{"key":"13_CR14","unstructured":"Ranzato, M., Szlam, A., Bruna, J., Mathieu, M., Collobert, R., Chopra, S.: Video (language) modeling: a baseline for generative models of natural videos. CoRR (2014)"},{"key":"13_CR15","unstructured":"Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. CoRR (2016)"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Ruder, M., Dosovitskiy, A., Brox, T.: Artistic style transfer for videos. CoRR (2016)","DOI":"10.1007\/978-3-319-45886-1_3"},{"key":"13_CR17","unstructured":"Saito, M., Matsumoto, E.: Temporal generative adversarial nets. CoRR (2016)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: ICPR, vol. 3, pp. 32\u201336. IEEE (2004)","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"13_CR19","unstructured":"Springenberg, J.T., Dosovitskiy, A., Brox, T., Riedmiller, M.: Striving for simplicity: the all convolutional net. arXiv preprint (2014) arXiv:1412.6806"},{"key":"13_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/978-3-319-46478-7_20","volume-title":"Computer Vision \u2013 ECCV 2016","author":"M Tatarchenko","year":"2016","unstructured":"Tatarchenko, M., Dosovitskiy, A., Brox, T.: Multi-view 3D models from single images with a convolutional network. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 322\u2013337. Springer, Cham (2016). doi:10.1007\/978-3-319-46478-7_20"},{"key":"13_CR21","unstructured":"van den Oord, A., Kalchbrenner, N., Kavukcuoglu, K.: Pixel recurrent neural networks. CoRR (2016)"},{"key":"13_CR22","unstructured":"van den Oord, A., Kalchbrenner, N., Vinyals, O., Espeholt, L., Graves, A., Kavukcuoglu, K.: Conditional image generation with pixelCNN decoders. CoRR (2016)"},{"key":"13_CR23","unstructured":"Vondrick, C., Pirsiavash, H., Torralba, A.: Anticipating the future by watching unlabeled video. CoRR (2015)"},{"key":"13_CR24","unstructured":"Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. In: NIPS, pp. 613\u2013621 (2016)"},{"key":"13_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1007\/978-3-319-46478-7_51","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Walker","year":"2016","unstructured":"Walker, J., Doersch, C., Gupta, A., Hebert, M.: An uncertain future: forecasting from static images using variational autoencoders. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 835\u2013851. Springer, Cham (2016). doi:10.1007\/978-3-319-46478-7_51"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Walker, J., Gupta, A., Hebert, M.: Patch to the future: unsupervised visual prediction. In: CVPR, pp. 3302\u20133309. IEEE (2014)","DOI":"10.1109\/CVPR.2014.416"},{"key":"13_CR27","doi-asserted-by":"crossref","unstructured":"Walker, J., Gupta, A., Hebert, M.: Dense optical flow prediction from a static image. In: ICCV, pp. 2443\u20132451 (2015)","DOI":"10.1109\/ICCV.2015.281"},{"key":"13_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/978-3-642-15552-9_51","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J Yuen","year":"2010","unstructured":"Yuen, J., Torralba, A.: A data-driven approach for event prediction. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 707\u2013720. Springer, Heidelberg (2010). doi:10.1007\/978-3-642-15552-9_51"},{"key":"13_CR29","unstructured":"Villegas, R., Yang, J., Zou, Y., Sohn, S., Lin, X., Lee, H.: Learning to generate long-term future via hierarchical prediction. In: ICML (2017)"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68560-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T14:18:25Z","timestamp":1710166705000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68560-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685595","9783319685601"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68560-1_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}