{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T14:52:00Z","timestamp":1772203920561,"version":"3.50.1"},"reference-count":78,"publisher":"Association for Computing Machinery (ACM)","issue":"1s","license":[{"start":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:00:00Z","timestamp":1580428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["ZR2017MF001"],"award-info":[{"award-number":["ZR2017MF001"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key R8D Program of Yantai City","award":["2016YT06000609"],"award-info":[{"award-number":["2016YT06000609"]}]},{"name":"Scientific Research Innovation Foundation of HIT"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2020,1,31]]},"abstract":"<jats:p>Action recognition has attracted increasing interest in computer vision due to its potential applications in many vision systems. One of the main challenges in action recognition is to extract powerful features from videos. Most existing approaches exploit either hand-crafted techniques or learning-based methods to extract features from videos. However, these methods mainly focus on extracting the dynamic motion features, which ignore the static form features. Therefore, these methods cannot fully capture the underlying information in videos accurately. In this article, we propose a novel feature representation method for action recognition, which exploits hierarchical sparse coding to learn the underlying features from videos. The learned features characterize the form and motion simultaneously and therefore provide more accurate and complete feature representation. The learned form and motion features are considered as two modalities, which are used to represent both the static and motion features. These modalities are further encoded into a global representation via a pairwise dictionary learning and then fed to an SVM classifier for action classification. Experimental results on several challenging datasets validate that the proposed method is superior to several state-of-the-art methods.<\/jats:p>","DOI":"10.1145\/3350840","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T07:01:36Z","timestamp":1588575696000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Action Recognition Using Form and Motion Modalities"],"prefix":"10.1145","volume":"16","author":[{"given":"Quanling","family":"Meng","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Weihai, Shandong, China"}]},{"given":"Heyan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Yantai University, Yantai, Shandong, China"}]},{"given":"Weigang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Weihai, Shandong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5528-1848","authenticated-orcid":false,"given":"Xuefeng","family":"Piao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Weihai, Shandong, China"}]},{"given":"Aijie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Qingdao University of Science and Technology, Qingdao, Shandong, China"}]}],"member":"320","published-online":{"date-parts":[[2020,4,17]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the European Conference on Computer Vision. 404--417","author":"Bay Herbert"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2259--2566","author":"Boureau Y."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the International Conference on Computer Vision and Pattern Recognition. 1322--1329","author":"Burgos-Artizzu X. P."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00247"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the British Machine Vision Conference.","author":"Chatfield K."},{"key":"e_1_2_1_6_1","volume-title":"Proceedings of the International Conference on Computer Communications and Networks. 65--72","author":"Dollar P."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.341"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00622"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_7"},{"key":"e_1_2_1_10_1","volume-title":"Proceedings of the International Conference on Computer Vision. 1--8.","author":"Jhuang H."},{"key":"e_1_2_1_11_1","volume-title":"Proceedings of the International Conference on Machine Learning. 1--8.","author":"Ji S."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2789272.2789280"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2875335"},{"key":"e_1_2_1_15_1","volume-title":"Proceedings of the International Conference on Computer Vision and Pattern Recognition. 1725--1732","author":"Karpathy A."},{"key":"e_1_2_1_16_1","volume-title":"Proceedings of the British Machine Vision Conference. 995--1004","author":"Klaser A."},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2481325"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2898618"},{"key":"e_1_2_1_19_1","volume-title":"Proceedings of the International Conference on Computer Vision. 432--439","author":"Laptev I."},{"key":"e_1_2_1_20_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 1--8.","author":"Laptev I."},{"key":"e_1_2_1_21_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","volume":"2","author":"Lazebnik S."},{"key":"e_1_2_1_22_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 3361--3368","author":"Le Q."},{"key":"e_1_2_1_23_1","article-title":"Deep learning in visual computing and signal processing","author":"Multimodal","year":"2011","journal-title":"Journal of Machine Learning Research."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995730"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2512107"},{"key":"e_1_2_1_26_1","doi-asserted-by":"crossref","unstructured":"H. Liu M. Yuan and F. Sun. 2015. RGB-D action recognition using linear coding. Neurocomputing 149 A (2015) 79--85.  H. Liu M. Yuan and F. Sun. 2015. RGB-D action recognition using linear coding. Neurocomputing 149 A (2015) 79--85.","DOI":"10.1016\/j.neucom.2013.12.061"},{"key":"e_1_2_1_27_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 1996--2003","author":"Liu J."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2399172"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.07.006"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_2_1_31_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 2929--2936","author":"Marzalek M."},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2490551"},{"key":"e_1_2_1_33_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.","author":"Ng J. Yue-Hei"},{"key":"e_1_2_1_34_1","volume-title":"Proceedings of the International Conference on Machine Learning.","author":"Ngiam J."},{"key":"e_1_2_1_35_1","volume-title":"Proceedings of the International Conference on Computer Vision Workshops.","author":"Ni B."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2005.861864"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2828817"},{"key":"e_1_2_1_38_1","volume-title":"Proceedings of the International Conference on Computer Vision. 1--8.","author":"Rodriguez M."},{"key":"e_1_2_1_39_1","volume-title":"Proceedings of the International Conference on Computer Vision and Pattern Recognition. 1234--1241","author":"Sadanand S."},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0636-x"},{"key":"e_1_2_1_41_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 32--36","author":"Schuldt C."},{"key":"e_1_2_1_42_1","volume-title":"Proceedings of the International Conference on Computer Vision. 1965--1970","author":"Seo H."},{"key":"e_1_2_1_43_1","volume-title":"Proceedings of Neural Information Processing Systems (NIPS\u201914)","author":"Simonyan Karen","year":"2014"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2361901"},{"key":"e_1_2_1_45_1","volume-title":"Proceedings of the 11th European Conference on Computer Vision. 140--153","author":"Taylor G."},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.441"},{"key":"e_1_2_1_47_1","volume-title":"Proceedings of the British Machine Vision Conference. 127--137","author":"Wang H."},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299059"},{"key":"e_1_2_1_50_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.","author":"Wang L."},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1524473113"},{"key":"e_1_2_1_52_1","volume-title":"Proceedings of the European Conference on Computer Vision. 650--663","author":"Willems G."},{"key":"e_1_2_1_53_1","volume-title":"Deep learning in visual computing and signal processing. Applied Computational Intelligence and Soft Computing 2017","author":"Xie Danfeng","year":"2017"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.02.002"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.08.006"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2190083"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2207395"},{"key":"e_1_2_1_58_1","volume-title":"Proceedings of the International Conference on Computer Vision and Pattern Recognition. 724--730","author":"Yuan C."},{"key":"e_1_2_1_59_1","volume-title":"Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications.","author":"Zhang Lei"},{"key":"e_1_2_1_60_1","volume-title":"Medical Imaging 2019: Computer-Aided Diagnosis.","author":"Zhang Lei"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533052"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2721108"},{"key":"e_1_2_1_63_1","volume-title":"Proceedings of the 29th AAAI Conference on Artificial Intelligence. 3165--3173","author":"Zhang Shengping","year":"2015"},{"key":"e_1_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2539860"},{"key":"e_1_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2586194"},{"key":"e_1_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2766093"},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.006"},{"key":"e_1_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.052"},{"key":"e_1_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.11.031"},{"key":"e_1_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2406194"},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2014.08.027"},{"key":"e_1_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.157"},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.05.021"},{"key":"e_1_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2240916"},{"key":"e_1_2_1_75_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1838--1845","author":"Zhong Wei"},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2202678"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00054"},{"key":"e_1_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.506"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3350840","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3350840","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:22Z","timestamp":1750200082000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3350840"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,31]]},"references-count":78,"journal-issue":{"issue":"1s","published-print":{"date-parts":[[2020,1,31]]}},"alternative-id":["10.1145\/3350840"],"URL":"https:\/\/doi.org\/10.1145\/3350840","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"value":"1551-6857","type":"print"},{"value":"1551-6865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,31]]},"assertion":[{"value":"2019-03-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-07-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-04-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}