{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T20:10:51Z","timestamp":1777407051478,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3551602","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:46Z","timestamp":1665416566000},"page":"7175-7179","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Rethinking Optical Flow Methods for Micro-Expression Spotting"],"prefix":"10.1145","author":[{"given":"Yuan","family":"Zhao","sequence":"first","affiliation":[{"name":"Ping An Technology & Chongqing University of Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Tong","sequence":"additional","affiliation":[{"name":"Ping An Technology & Hubei University of Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zichong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Ping An Technology & Central South University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianda","family":"Sheng","sequence":"additional","affiliation":[{"name":"Ping An Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Dai","sequence":"additional","affiliation":[{"name":"Ping An Technology & Nanchang University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Xu","sequence":"additional","affiliation":[{"name":"Ping An Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehai","family":"Xia","sequence":"additional","affiliation":[{"name":"Ping An Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Ping An Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiao","family":"Li","sequence":"additional","affiliation":[{"name":"Ping An Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3064258"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3479215"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00100"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3479225"},{"key":"e_1_3_2_1_5_1","volume-title":"Information technology biometric data interchange formats part 5: Face image data. Standard ISO\/IEC 19794-5:2011","year":"2011","unstructured":"ISO\/IEC 19794-5:2011. ( 2011 ). Information technology biometric data interchange formats part 5: Face image data. Standard ISO\/IEC 19794-5:2011 , International Organization for Standardization , Geneva, CH . ISO\/IEC 19794-5:2011. (2011). Information technology biometric data interchange formats part 5: Face image data. Standard ISO\/IEC 19794-5:2011, International Organization for Standardization, Geneva, CH."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.369"},{"key":"e_1_3_2_1_7_1","volume-title":"Practical bayesian optimization of machine learning algorithms. Advances in neural information processing systems, 25","author":"Snoek J.","year":"2012","unstructured":"Snoek , J. , Larochelle , H. , & Adams , R. P. ( 2012 ). Practical bayesian optimization of machine learning algorithms. Advances in neural information processing systems, 25 . Snoek, J., Larochelle, H., & Adams, R. P. (2012). Practical bayesian optimization of machine learning algorithms. Advances in neural information processing systems, 25."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-018-0608-3"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-018-2126-9"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00029"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2654440"},{"key":"e_1_3_2_1_12_1","volume-title":"SAMM: A spontaneous micro-facial movement dataset","author":"Davison A. K.","year":"2016","unstructured":"Davison , A. K. , Lansley , C. , Costen , N. , Tan , K. , & Yap , M. H. ( 2016 ). SAMM: A spontaneous micro-facial movement dataset . IEEE transactions on affective computing, 9(1), 116--129. Davison, A. K., Lansley, C., Costen, N., Tan, K., & Yap, M. H. (2016). SAMM: A spontaneous micro-facial movement dataset. IEEE transactions on affective computing, 9(1), 116--129."},{"key":"e_1_3_2_1_13_1","article-title":"CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity","author":"Li J.","year":"2022","unstructured":"Li , J. , Dong , Z. , Lu , S. , Wang , S. J. , Yan , W. J. , Ma , Y. ,... & Fu , X. ( 2022 ). CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity . IEEE Transactions on Pattern Analysis and Machine Intelligence. Li, J., Dong, Z., Lu, S., Wang, S. J., Yan, W. J., Ma, Y.,... & Fu, X. (2022). CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database with Depth Information and High Ecological Validity. IEEE Transactions on Pattern Analysis and Machine Intelligence.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSMP.2018.8478556"},{"key":"e_1_3_2_1_15_1","unstructured":"Project webpage. https:\/\/github.com\/cunjian\/pytorch_face_landmark\/ issues?q=CPU  Project webpage. https:\/\/github.com\/cunjian\/pytorch_face_landmark\/ issues?q=CPU"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"},{"key":"e_1_3_2_1_17_1","first-page":"345","volume-title":"Sublinear Optical Flow Algorithm. In Computer graphics forum (Vol. 31, No. 2pt1","author":"Tao M.","unstructured":"Tao , M. , Bai , J. , Kohli , P. , & Paris , S. (2012, May ). SimpleFlow : A Non-iterative , Sublinear Optical Flow Algorithm. In Computer graphics forum (Vol. 31, No. 2pt1 , pp. 345 -- 353 ). Oxford, UK : Blackwell Publishing Ltd . Tao, M., Bai, J., Kohli, P., & Paris, S. (2012, May). SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. In Computer graphics forum (Vol. 31, No. 2pt1, pp. 345--353). Oxford, UK: Blackwell Publishing Ltd."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.175"},{"key":"e_1_3_2_1_19_1","volume-title":"European conference on computer vision (pp. 471--488)","author":"Kroeger T.","year":"2016","unstructured":"Kroeger , T. , Timofte , R. , Dai , D. , & Gool , L. V. ( 2016 , October). Fast optical flow using dense inverse search . In European conference on computer vision (pp. 471--488) . Springer, Cham. Kroeger, T., Timofte, R., Dai, D., & Gool, L. V. (2016, October). Fast optical flow using dense inverse search. In European conference on computer vision (pp. 471--488). Springer, Cham."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"e_1_3_2_1_21_1","volume-title":"A lightweight optical flow CNN-Revisiting data fidelity and regularization","author":"Hui T. W.","year":"2020","unstructured":"Hui , T. W. , Tang , X. , & Loy , C. C. ( 2020 ). A lightweight optical flow CNN-Revisiting data fidelity and regularization . IEEE transactions on pattern analysis and machine intelligence, 43(8), 2555--2569. Hui, T. W., Tang, X., & Loy, C. C. (2020). A lightweight optical flow CNN-Revisiting data fidelity and regularization. IEEE transactions on pattern analysis and machine intelligence, 43(8), 2555--2569."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00631"},{"key":"e_1_3_2_1_24_1","volume-title":"Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium (pp. 31--40)","author":"Ballester C.","year":"2012","unstructured":"Ballester , C. , Garrido , L. , Lazcano , V. , & Caselles , V. ( 2012 , August). A TV-L1 optical flow method with occlusion detection . In Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium (pp. 31--40) . Springer, Berlin, Heidelberg. Ballester, C., Garrido, L., Lazcano, V., & Caselles, V. (2012, August). A TV-L1 optical flow method with occlusion detection. In Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium (pp. 31--40). Springer, Berlin, Heidelberg."},{"key":"e_1_3_2_1_25_1","volume-title":"3d-cnn for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame. arXiv preprint arXiv:2105.06340","author":"Yap C. H.","year":"2021","unstructured":"Yap , C. H. , Yap , M. H. , Davison , A. K. , & Cunningham , R. ( 2021 ). 3d-cnn for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame. arXiv preprint arXiv:2105.06340 . Yap, C. H., Yap, M. H., Davison, A. K., & Cunningham, R. (2021). 3d-cnn for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame. arXiv preprint arXiv:2105.06340."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3551602","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3551602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:18Z","timestamp":1750182558000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3551602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":25,"alternative-id":["10.1145\/3503161.3551602","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3551602","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}