{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T05:02:42Z","timestamp":1784091762435,"version":"3.55.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031915802","type":"print"},{"value":"9783031915819","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-91581-9_16","type":"book-chapter","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T11:23:23Z","timestamp":1748345003000},"page":"229-243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting Emotions in Interpersonal Interaction Videos: I Know What You Feel"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3746-5007","authenticated-orcid":false,"given":"Hajer","family":"Guerdelli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9465-6753","authenticated-orcid":false,"given":"Claudio","family":"Ferrari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1219-4386","authenticated-orcid":false,"given":"Stefano","family":"Berretti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2123-4992","authenticated-orcid":false,"given":"Walid","family":"Barhoumi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1052-8322","authenticated-orcid":false,"given":"Alberto","family":"Del Bimbo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Becattini, F., et al.: PLM-IPE: a pixel-landmark mutual enhanced framework for implicit preference estimation. In: 3rd ACM International Conference on Multimedia Asia, pp.\u00a01\u20135 (2021)","DOI":"10.1145\/3469877.3490621"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Cai, H., Bai, C., Tai, Y.W., Tang, C.K.: Deep video generation, prediction and completion of human action sequences. In: European Conference on Computer Vision (ECCV), pp. 366\u2013382 (2018)","DOI":"10.1007\/978-3-030-01216-8_23"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/T-AFFC.2010.1","volume":"1","author":"RA Calvo","year":"2010","unstructured":"Calvo, R.A., D\u2019Mello, S.: Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Trans. Affect. Comput. 1(1), 18\u201337 (2010)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Dai, Q., et\u00a0al.: Family member identification from photo collections. In: IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 982\u2013989. IEEE (2015)","DOI":"10.1109\/WACV.2015.136"},{"issue":"4","key":"16_CR5","doi-asserted-by":"publisher","first-page":"1524","DOI":"10.3390\/s22041524","volume":"22","author":"H Guerdelli","year":"2022","unstructured":"Guerdelli, H., Ferrari, C., Barhoumi, W., Ghazouani, H., Berretti, S.: Macro-and micro-expressions facial datasets: a survey. Sensors 22(4), 1524 (2022)","journal-title":"Sensors"},{"issue":"8","key":"16_CR6","doi-asserted-by":"publisher","first-page":"11417","DOI":"10.1007\/s11042-022-13816-w","volume":"82","author":"H Guerdelli","year":"2023","unstructured":"Guerdelli, H., Ferrari, C., Berretti, S.: Interpersonal relation recognition: a survey. Multimed. Tools Appl. 82(8), 11417\u201311439 (2023)","journal-title":"Multimed. Tools Appl."},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Guerdelli, H., Ferrari, C., Berretti, S., Del\u00a0Bimbo, A.: IMEmo: an interpersonal relation multi-emotion dataset. In: IEEE International Conference on Automatic Face & Gesture Recognition (FG) Workshops. IEEE (2024)","DOI":"10.1109\/FG59268.2024.10581895"},{"key":"16_CR8","unstructured":"Gupta, R., Sharma, V., Jain, Y., Liang, Y., Broeck, G.V.D., Singla, P.: Towards an interpretable latent space in structured models for video prediction. arXiv preprint arXiv:2107.07713 (2021)"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Chen, X.: Video prediction with bidirectional constraint network. In: IEEE International Conference on Automatic Face & Gesture Recognition (FG), pp.\u00a01\u20138. IEEE (2019)","DOI":"10.1109\/FG.2019.8756585"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Shan, S., Chen, X.: Temporal complementary learning for video person re-identification. In: European Conference on Computer Vision (ECCV), pp. 388\u2013405. Springer (2020)","DOI":"10.1007\/978-3-030-58595-2_24"},{"issue":"2","key":"16_CR11","doi-asserted-by":"publisher","first-page":"401","DOI":"10.3390\/s18020401","volume":"18","author":"BC Ko","year":"2018","unstructured":"Ko, B.C.: A brief review of facial emotion recognition based on visual information. Sensors 18(2), 401 (2018)","journal-title":"Sensors"},{"issue":"5","key":"16_CR12","doi-asserted-by":"publisher","first-page":"1366","DOI":"10.1007\/s11263-022-01594-9","volume":"130","author":"Y Kong","year":"2022","unstructured":"Kong, Y., Fu, Y.: Human action recognition and prediction: a survey. Int. J. Comput. Vis. 130(5), 1366\u20131401 (2022)","journal-title":"Int. J. Comput. Vis."},{"key":"16_CR13","unstructured":"Lan, M., et al.: From single to multiple: leveraging multi-level prediction spaces for video forecasting. arXiv preprint arXiv:2107.10068 (2021)"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Liu, X., et\u00a0al.: Social relation recognition from videos via multi-scale spatial-temporal reasoning. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3566\u20133574 (2019)","DOI":"10.1109\/CVPR.2019.00368"},{"key":"16_CR15","unstructured":"Lotter, W., Kreiman, G., Cox, D.: Deep predictive coding networks for video prediction and unsupervised learning. arXiv preprint arXiv:1605.08104 (2016)"},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Lv, J., et\u00a0al.: Multi-stream fusion model for social relation recognition from videos. In: International Conference on MultiMedia Modeling (MMM), pp. 355\u2013368. Springer (2018)","DOI":"10.1007\/978-3-319-73603-7_29"},{"key":"16_CR17","doi-asserted-by":"crossref","unstructured":"Marchetti, F., Becattini, F., Seidenari, L., Bimbo, A.D.: Mantra: memory augmented networks for multiple trajectory prediction. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7143\u20137152 (2020)","DOI":"10.1109\/CVPR42600.2020.00717"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Nocentini, F., Ferrari, C., Berretti, S.: Learning landmarks motion from speech for speaker-agnostic 3D talking heads generation. In: International Conference on Image Analysis and Processing (ICIAP), pp. 340\u2013351. Springer (2023)","DOI":"10.1007\/978-3-031-43148-7_29"},{"issue":"3","key":"16_CR19","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1037\/0033-295X.97.3.315","volume":"97","author":"A Ortony","year":"1990","unstructured":"Ortony, A., Turner, T.J.: What\u2019s basic about basic emotions? Psychol. Rev. 97(3), 315 (1990)","journal-title":"Psychol. Rev."},{"issue":"2","key":"16_CR20","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TAFFC.2023.3280671","volume":"15","author":"N Otberdout","year":"2023","unstructured":"Otberdout, N., Ferrari, C., Daoudi, M., Berretti, S., Del Bimbo, A.: Generating multiple 4D expression transitions by learning face landmark trajectories. IEEE Trans. Affect. Comput. 15(2), 566\u2013578 (2023)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"16_CR21","doi-asserted-by":"crossref","unstructured":"Palmero, C., et\u00a0al.: Context-aware personality inference in dyadic scenarios: introducing the UDIVA dataset. In: IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1\u201312 (2021)","DOI":"10.1109\/WACVW52041.2021.00005"},{"key":"16_CR22","unstructured":"Picard, R.W.: Affective Computing. MIT Press, Cambridge (2000)"},{"key":"16_CR23","doi-asserted-by":"crossref","unstructured":"Robinson, J.P., et\u00a0al.: Families in the wild (FIW) large-scale kinship image database and benchmarks. In: ACM International Conference on Multimedia, pp. 242\u2013246 (2016)","DOI":"10.1145\/2964284.2967219"},{"key":"16_CR24","doi-asserted-by":"publisher","first-page":"3582","DOI":"10.1109\/TMM.2021.3103074","volume":"24","author":"JP Robinson","year":"2021","unstructured":"Robinson, J.P., et al.: Families in wild multimedia: a multimodal database for recognizing kinship. IEEE Trans. Multimed. 24, 3582\u20133594 (2021)","journal-title":"IEEE Trans. Multimed."},{"issue":"8","key":"16_CR25","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1177\/0278364920917446","volume":"39","author":"A Rudenko","year":"2020","unstructured":"Rudenko, A., Palmieri, L., Herman, M., Kitani, K.M., Gavrila, D.M., Arras, K.O.: Human motion trajectory prediction: a survey. Int. J. Robot. Res. 39(8), 895\u2013935 (2020)","journal-title":"Int. J. Robot. Res."},{"key":"16_CR26","doi-asserted-by":"crossref","unstructured":"Sun, Q., Schiele, B., Fritz, M.: A domain based approach to social relation recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3481\u20133490 (2017)","DOI":"10.1109\/CVPR.2017.54"},{"key":"16_CR27","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.patrec.2016.01.002","volume":"73","author":"G Tanisik","year":"2016","unstructured":"Tanisik, G., et al.: Facial descriptors for human interaction recognition in still images. Pattern Recogn. Lett. 73, 44\u201351 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"8","key":"16_CR28","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1109\/JSTSP.2017.2764438","volume":"11","author":"P Tzirakis","year":"2017","unstructured":"Tzirakis, P., Trigeorgis, G., Nicolaou, M.A., Schuller, B.W., Zafeiriou, S.: End-to-end multimodal emotion recognition using deep neural networks. IEEE J. Sel. Top. Signal Process. 11(8), 1301\u20131309 (2017)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"3","key":"16_CR29","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1111\/j.1467-8721.2009.01633.x","volume":"18","author":"GA Van Kleef","year":"2009","unstructured":"Van Kleef, G.A.: How emotions regulate social life: the emotions as social information (EASI) model. Curr. Dir. Psychol. Sci. 18(3), 184\u2013188 (2009)","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"16_CR30","doi-asserted-by":"crossref","unstructured":"Vicol, P., et\u00a0al.: Moviegraphs: towards understanding human-centric situations from videos. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8581\u20138590 (2018)","DOI":"10.1109\/CVPR.2018.00895"},{"key":"16_CR31","unstructured":"Wen, Z., et\u00a0al.: Distract your attention: multi-head cross attention network for facial expression recognition. arXiv preprint:2109.07270 (2021)"},{"key":"16_CR32","doi-asserted-by":"crossref","unstructured":"Xu, L., et\u00a0al.: Actformer: a gan-based transformer towards general action-conditioned 3d human motion generation. In: IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 2228\u20132238 (2023)","DOI":"10.1109\/ICCV51070.2023.00212"},{"key":"16_CR33","doi-asserted-by":"crossref","unstructured":"Xu, Z., Qing, L., Miao, J.: Activity auto-completion: predicting human activities from partial videos. In: IEEE International Conference on Computer Vision (ICCV), pp. 3191\u20133199 (2015)","DOI":"10.1109\/ICCV.2015.365"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-91581-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T16:28:42Z","timestamp":1757176122000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-91581-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031915802","9783031915819"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-91581-9_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}