{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T06:40:02Z","timestamp":1750488002825,"version":"3.41.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031962387","type":"print"},{"value":"9783031962394","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\/978-3-031-96239-4_24","type":"book-chapter","created":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T06:03:05Z","timestamp":1750485785000},"page":"329-343","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative Analysis of\u00a0Video and\u00a0Audio for\u00a0Micro-expression Recognition"],"prefix":"10.1007","author":[{"given":"Rehan","family":"Sayed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pratyush","family":"Pankaj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aryan","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pragya","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2628-8973","authenticated-orcid":false,"given":"S. S.","family":"Shylaja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,22]]},"reference":[{"issue":"7","key":"24_CR1","doi-asserted-by":"publisher","first-page":"3577","DOI":"10.3390\/s23073577","volume":"23","author":"Z Li","year":"2023","unstructured":"Li, Z., Zhang, Y., Xing, H., Chan, K.-L.: Facial micro-expression recognition using double-stream 3D convolutional neural network with domain adaptation. Sensors 23(7), 3577 (2023)","journal-title":"Sensors"},{"key":"24_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108275","volume":"122","author":"L Zhou","year":"2022","unstructured":"Zhou, L., Mao, Q., Huang, X., Zhang, F., Zhang, Z.: Feature refinement: an expression-specific feature learning and fusion method for micro-expression recognition. Pattern Recogn. 122, 108275 (2022)","journal-title":"Pattern Recogn."},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Shukla, S., Rai, P.K., Verlekar, T.T.: Micro-expression recognition using a shallow ConvLSTM-based network. In: Proceedings of the Asian Conference on Computer Vision, pp. 17\u201328 (2022)","DOI":"10.1007\/978-3-031-27066-6_2"},{"issue":"9","key":"24_CR4","doi-asserted-by":"publisher","first-page":"4643","DOI":"10.3390\/app12094643","volume":"12","author":"J Li","year":"2022","unstructured":"Li, J., Wang, T., Wang, S.-J.: Facial micro-expression recognition based on deep local-holistic network. Appl. Sci. 12(9), 4643 (2022)","journal-title":"Appl. Sci."},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Yap, C.H., Kendrick, C., Yap, M.H.: SAMM long videos: a spontaneous facial micro-and macro-expressions dataset. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 771\u2013776. IEEE (2020)","DOI":"10.1109\/FG47880.2020.00029"},{"issue":"1","key":"24_CR6","first-page":"20240213","volume":"33","author":"K Yu","year":"2024","unstructured":"Yu, K., Guo, C.: Cross-dataset micro-expression identification based on facial ROIs contribution quantification. J. Intell. Syst. 33(1), 20240213 (2024)","journal-title":"J. Intell. Syst."},{"issue":"1","key":"24_CR7","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s44267-024-00063-w","volume":"2","author":"Y Li","year":"2024","unstructured":"Li, Y., Liu, M., Lao, L., Wang, Y., Cui, Z.: Counterfactual discriminative micro-expression recognition. Visual Intell. 2(1), 29 (2024)","journal-title":"Visual Intell."},{"key":"24_CR8","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.image.2017.11.006","volume":"62","author":"S-T Liong","year":"2018","unstructured":"Liong, S.-T., See, J., Wong, K., Phan, R.C.-W.: Less is more: micro-expression recognition from video using apex frame. Signal Process. Image Commun. 62, 82\u201392 (2018)","journal-title":"Signal Process. Image Commun."},{"key":"24_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, vol. 25 (2012)"},{"key":"24_CR10","unstructured":"Iandola, F.N.: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $$<$$ 0.5 MB model size. arXiv preprint arXiv:1602.07360 (2016)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"24_CR12","unstructured":"Simonyan, K.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.image.2019.02.005","volume":"74","author":"YS Gan","year":"2019","unstructured":"Gan, Y.S., Liong, S.-T., Yau, W.-C., Huang, Y.-C., Tan, L.-K.: OFF-ApexNet on micro-expression recognition system. Signal Process. Image Commun. 74, 129\u2013139 (2019)","journal-title":"Signal Process. Image Commun."},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Liong, S.-T., Gan, Y.S., See, J., Khor, H.-Q., Huang, Y.-C.: Shallow triple stream three-dimensional CNN (ststnet) for micro-expression recognition. In: 2019 14th IEEE International Conference on Automatic Face & gesture recognition (FG 2019), pp. 1\u20135. IEEE (2019)","DOI":"10.1109\/FG.2019.8756567"},{"issue":"1","key":"24_CR15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0086041","volume":"9","author":"W-J Yan","year":"2014","unstructured":"Yan, W.-J., et al.: CASME II: an improved spontaneous micro-expression database and the baseline evaluation. PLoS ONE 9(1), e86041 (2014)","journal-title":"PLoS ONE"},{"key":"24_CR16","unstructured":"Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C., Sutskever, I.: Robust speech recognition via large-scale weak supervision. In: International Conference on Machine Learning, pp. 28492\u201328518. PMLR (2023)"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Saravia, E., Liu, H.-C.T., Huang, Y.-H., Wu, J., Chen, Y.-S.: CARER: contextualized Affect Representations for Emotion Recognition. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, pp. 3687\u20133697. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/D18-1404"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.: Inception-v4, inception-resnet and the impact of residual connections on learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31, no. 1 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"issue":"1","key":"24_CR19","doi-asserted-by":"publisher","first-page":"95","DOI":"10.3126\/jie.v16i1.36562","volume":"16","author":"DR Pant","year":"2021","unstructured":"Pant, D.R., Sthapit, R.: Analysis of micro facial expression by machine and deep learning methods: Haar, CNN, and RNN. J. Inst. Eng. 16(1), 95\u2013101 (2021)","journal-title":"J. Inst. Eng."},{"issue":"4","key":"24_CR20","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.3390\/s21041098","volume":"21","author":"MF Hashmi","year":"2021","unstructured":"Hashmi, M.F., et al.: LARNet: real-time detection of facial micro expression using lossless attention residual network. Sensors 21(4), 1098 (2021)","journal-title":"Sensors"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Rao, A., Ahuja, A., Kansara, S., Patel, V.: Sentiment analysis on user-generated video, audio and text. In: 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), pp. 24\u201328. IEEE (2021)","DOI":"10.1109\/ICCCIS51004.2021.9397147"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Hong, X., Xu, Y., Zhao, G.: LBP-top: a tensor unfolding revisit. In: Computer Vision\u2013ACCV 2016 Workshops: ACCV 2016 International Workshops, Taipei, Taiwan, November 20\u201324, 2016, Revised Selected Papers, Part I 13, pp. 513\u2013527. Springer (2017)","DOI":"10.1007\/978-3-319-54407-6_34"},{"key":"24_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128196","volume":"602","author":"Z Wang","year":"2024","unstructured":"Wang, Z., Zhang, K., Luo, W., Sankaranarayana, R.: HTNet for micro-expression recognition. Neurocomputing 602, 128196 (2024)","journal-title":"Neurocomputing"},{"key":"24_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109731","volume":"140","author":"H Wang","year":"2025","unstructured":"Wang, H., Ren, C., Yu, Z.: Multimodal sentiment analysis based on multiple attention. Eng. Appl. Artif. Intell. 140, 109731 (2025)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"2","key":"24_CR25","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1007\/s13369-024-08973-z","volume":"50","author":"F Li","year":"2025","unstructured":"Li, F., Nie, P., You, M., Chen, Z., Wang, G.: Triple-ATFME: triple-branch attention fusion network for micro-expression recognition. Arab. J. Sci. Eng. 50(2), 807\u2013823 (2025)","journal-title":"Arab. J. Sci. Eng."},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Wang, Y., See, J., Phan, R.C.-W., Oh, Y.-H.: LBP with six intersection points: reducing redundant information in LBP-top for micro-expression recognition. In: Computer Vision\u2013ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I 12, pp. 525\u2013537. Springer (2015)","DOI":"10.1007\/978-3-319-16865-4_34"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-96239-4_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T06:03:13Z","timestamp":1750485793000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-96239-4_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031962387","9783031962394"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-96239-4_24","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"22 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","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":"26 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipaiai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}