{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T08:10:54Z","timestamp":1777536654511,"version":"3.51.4"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032113801","type":"print"},{"value":"9783032113818","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-11381-8_47","type":"book-chapter","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T08:01:30Z","timestamp":1768204890000},"page":"574-585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Event-GPT: Sequence-Aware Video Event Classification via\u00a0LoRA-Tuned GPT"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8488-1612","authenticated-orcid":false,"given":"Luca","family":"Zedda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6571-3816","authenticated-orcid":false,"given":"Andrea","family":"Loddo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4641-0307","authenticated-orcid":false,"given":"Cecilia Di","family":"Ruberto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,13]]},"reference":[{"key":"47_CR1","doi-asserted-by":"publisher","unstructured":"Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lucic, M., Schmid, C.: ViViT: a video vision transformer. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 6816\u20136826. IEEE, Montreal, QC, Canada (Oct 2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.00676, https:\/\/ieeexplore.ieee.org\/document\/9710415\/","DOI":"10.1109\/ICCV48922.2021.00676"},{"issue":"2","key":"47_CR2","doi-asserted-by":"publisher","first-page":"125","DOI":"10.3390\/info11020125","volume":"11","author":"A Buslaev","year":"2020","unstructured":"Buslaev, A., Iglovikov, V.I., Khvedchenya, E., Parinov, A., Druzhinin, M., Kalinin, A.A.: Albumentations: fast and flexible image augmentations. Information 11(2), 125 (2020). https:\/\/doi.org\/10.3390\/info11020125","journal-title":"Information"},{"key":"47_CR3","doi-asserted-by":"publisher","unstructured":"Gotthans, J., Gotthans, T., Marsalek, R.: Deep convolutional neural network for fire detection. In: 2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA). pp.\u00a01\u20136 (Apr 2020). https:\/\/doi.org\/10.1109\/RADIOELEKTRONIKA49387.2020.9092344, https:\/\/ieeexplore.ieee.org\/document\/9092344","DOI":"10.1109\/RADIOELEKTRONIKA49387.2020.9092344"},{"key":"47_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124783","volume":"255","author":"D Gragnaniello","year":"2024","unstructured":"Gragnaniello, D., Greco, A., Sansone, C., Vento, B.: Fire and smoke detection from videos: a literature review under a novel taxonomy. Expert Syst. Appl. 255, 124783 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2024.124783","journal-title":"Expert Syst. Appl."},{"key":"47_CR5","doi-asserted-by":"publisher","unstructured":"Gragnaniello, D., Greco, A., Sansone, C., Vento, B.: ONFIRE Contest 2023: Real-Time Fire Detection on the Edge (Jan 2024). https:\/\/doi.org\/10.1007\/978-3-031-51023-6_23, https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-51023-6_23","DOI":"10.1007\/978-3-031-51023-6_23"},{"issue":"1","key":"47_CR6","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/s12652-024-04939-z","volume":"16","author":"D Gragnaniello","year":"2025","unstructured":"Gragnaniello, D., Greco, A., Sansone, C., Vento, B.: Onfire 2023 Contest: what did we learn about real time fire detection from cameras? J. Ambient. Intell. Humaniz. Comput. 16(1), 253\u2013264 (2025). https:\/\/doi.org\/10.1007\/s12652-024-04939-z","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Gragnaniello, D., Greco, A., Sansone, C., Vento, M.: ONFIRE Contest 2025: Fire and Smoke Detection in Real-Time on the Edge. In: Proceedings of the International Conference on Image Analysis and Processing (ICIAP) (2025)","DOI":"10.1007\/978-3-032-11381-8_46"},{"key":"47_CR8","doi-asserted-by":"publisher","unstructured":"He, K., Chen, X., Xie, S., Li, Y., Dollar, P., Girshick, R.: Masked autoencoders are scalable vision learners. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15979\u201315988. IEEE, New Orleans, LA, USA (Jun 2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01553, https:\/\/ieeexplore.ieee.org\/document\/9879206\/","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"47_CR9","unstructured":"Hu, E.J., et al.: LoRA: Low-Rank Adaptation of Large Language Models (Oct 2021). http:\/\/arxiv.org\/abs\/2106.09685, arXiv:2106.09685 [cs]"},{"issue":"7","key":"47_CR10","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1109\/TSMC.2018.2830099","volume":"49","author":"K Muhammad","year":"2019","unstructured":"Muhammad, K., Ahmad, J., Lv, Z., Bellavista, P., Yang, P., Baik, S.W.: Efficient deep CNN-based fire detection and localization in video surveillance applications. IEEE Trans. Syst. Man, Cybernet.: Syst. 49(7), 1419\u20131434 (2019). https:\/\/doi.org\/10.1109\/TSMC.2018.2830099","journal-title":"IEEE Trans. Syst. Man, Cybernet.: Syst."},{"key":"47_CR11","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language Models are Unsupervised Multitask Learners"},{"key":"47_CR12","doi-asserted-by":"publisher","unstructured":"Selva, J., Johansen, A.S., Escalera, S., Nasrollahi, K., Moeslund, T.B., Clap\u00e9s, A.: Video transformers: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(11), 12922\u201312943 (Nov 2023). https:\/\/doi.org\/10.1109\/TPAMI.2023.3243465, http:\/\/arxiv.org\/abs\/2201.05991, arXiv:2201.05991 [cs]","DOI":"10.1109\/TPAMI.2023.3243465"},{"key":"47_CR13","doi-asserted-by":"publisher","unstructured":"Sharma, J., Granmo, O.C., Goodwin, M., Fidje, J.T.: Deep convolutional neural networks for fire detection in images (2017). https:\/\/doi.org\/10.1007\/978-3-319-65172-9_16","DOI":"10.1007\/978-3-319-65172-9_16"},{"issue":"8","key":"47_CR14","doi-asserted-by":"publisher","first-page":"9777","DOI":"10.1007\/s11069-025-07163-w","volume":"121","author":"H Singh","year":"2025","unstructured":"Singh, H., Ang, L.M., Srivastava, S.K.: Active wildfire detection via satellite imagery and machine learning: an empirical investigation of Australian wildfires. Nat. Hazards 121(8), 9777\u20139800 (2025). https:\/\/doi.org\/10.1007\/s11069-025-07163-w","journal-title":"Nat. Hazards"},{"key":"47_CR15","unstructured":"Tong, Z., Song, Y., Wang, J., Wang, L.: VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training"},{"key":"47_CR16","unstructured":"Vaswani, A., et al.: Attention is All you Need. In: Advances in Neural Information Processing Systems. vol.\u00a030. Curran Associates, Inc. (2017). https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/hash\/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html"},{"key":"47_CR17","doi-asserted-by":"crossref","unstructured":"Wang, L., et al.: Videomae v2: Scaling video masked autoencoders with dual masking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14549\u201314560 (June 2023)","DOI":"10.1109\/CVPR52729.2023.01398"},{"key":"47_CR18","doi-asserted-by":"publisher","unstructured":"Zedda, L., Loddo, A., Di\u00a0Ruberto, C.: FIRESTART: fire ignition recognition with enhanced smoothing techniques and real-time tracking. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds.) Image Analysis and Processing - ICIAP 2023 Workshops, vol. 14365, pp. 282\u2013293. Springer Nature Switzerland, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-51023-6_24, https:\/\/link.springer.com\/10.1007\/978-3-031-51023-6_24, series Title: Lecture Notes in Computer Science","DOI":"10.1007\/978-3-031-51023-6_24"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11381-8_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:03:08Z","timestamp":1777395788000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11381-8_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032113801","9783032113818"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11381-8_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"13 January 2026","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":"Rome","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap.org\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}