{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:57:20Z","timestamp":1760385440977,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,8,19]],"date-time":"2015-08-19T00:00:00Z","timestamp":1439942400000},"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":[[2015,8,19]]},"DOI":"10.1145\/2808492.2808554","type":"proceedings-article","created":{"date-parts":[[2015,9,15]],"date-time":"2015-09-15T15:02:27Z","timestamp":1442329347000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Exploring the influence of motion boundary sampling to improved dense trajectories for action recognition"],"prefix":"10.1145","author":[{"given":"Haiyan","family":"Xu","sequence":"first","affiliation":[{"name":"Southeast University, Naijing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Tian","sequence":"additional","affiliation":[{"name":"Southeast University, Naijing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhui","family":"Wu","sequence":"additional","affiliation":[{"name":"Southeast University, Naijing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,8,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.12.004"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"e_1_3_2_1_4_1","first-page":"1996","volume-title":"Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on","author":"Liu J.","unstructured":"J. Liu , J. Luo , and M. Shah . Recognizing realistic actions from videos \u0105\u0159in the wild\u0105\u015b . In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on , pages 1996 -- 2003 . IEEE. J. Liu, J. Luo, and M. Shah. Recognizing realistic actions from videos \u0105\u0159in the wild\u0105\u015b. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1996--2003. IEEE."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.61"},{"key":"e_1_3_2_1_6_1","first-page":"1","volume-title":"Proc. BMVC","author":"Peng X.","unstructured":"X. Peng , Y. Qiao , Q. Peng , and X. Qi . Exploring motion boundary based sampling and spatial-temporal context descriptors for action recognition . In Proc. BMVC , pages 1 -- 11 . X. Peng, Y. Qiao, Q. Peng, and X. Qi. Exploring motion boundary based sampling and spatial-temporal context descriptors for action recognition. In Proc. BMVC, pages 1--11."},{"key":"e_1_3_2_1_7_1","first-page":"1","volume-title":"Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on","author":"Perronnin F.","unstructured":"F. Perronnin and C. Dance . Fisher kernels on visual vocabularies for image categorization . In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on , pages 1 -- 8 . IEEE. F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1--8. IEEE."},{"key":"e_1_3_2_1_8_1","first-page":"143","volume-title":"Improving the fisher kernel for large-scale image classification","author":"Perronnin F.","year":"2010","unstructured":"F. Perronnin , J. S\u00ed\u0107nchez , and T. Mensink . Improving the fisher kernel for large-scale image classification , pages 143 -- 156 . Springer , 2010 . F. Perronnin, J. S\u00ed\u0107nchez, and T. Mensink. Improving the fisher kernel for large-scale image classification, pages 143--156. Springer, 2010."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995407"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.441"},{"volume-title":"BMVC 2009-British Machine Vision Conference.","author":"Wang H.","key":"e_1_3_2_1_12_1","unstructured":"H. Wang , M. M. Ullah , A. Klaser , I. Laptev , and C. Schmid . Evaluation of local spatio-temporal features for action recognition . In BMVC 2009-British Machine Vision Conference. H. Wang, M. M. Ullah, A. Klaser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC 2009-British Machine Vision Conference."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995624"},{"key":"e_1_3_2_1_14_1","unstructured":"H. Xu Q. Tian Z. Wang and J. Wu. Evaluation of different dimensionality reduction techniques and learning methods for action recognition. In IET Computer Vision.  H. Xu Q. Tian Z. Wang and J. Wu. Evaluation of different dimensionality reduction techniques and learning methods for action recognition. In IET Computer Vision."},{"key":"e_1_3_2_1_15_1","first-page":"63","volume-title":"Digital Signal Processing (DSP), 2014 19th International Conference on","author":"Xu H.","unstructured":"H. Xu , Q. Tian , Z. Wang , and J. Wu . Human action recognition using late fusion and dimensionality reduction . In Digital Signal Processing (DSP), 2014 19th International Conference on , pages 63 -- 67 . IEEE. H. Xu, Q. Tian, Z. Wang, and J. Wu. Human action recognition using late fusion and dimensionality reduction. In Digital Signal Processing (DSP), 2014 19th International Conference on, pages 63--67. IEEE."},{"key":"e_1_3_2_1_16_1","volume-title":"Multimedia tools and applications","author":"Xu H.","year":"2015","unstructured":"H. Xu , Q. Tian , Z. Wang , and J. Wu . A survey on aggregating methods for action recognition with dense trajectories . In Multimedia tools and applications , 2015 . H. Xu, Q. Tian, Z. Wang, and J. Wu. A survey on aggregating methods for action recognition with dense trajectories. In Multimedia tools and applications, 2015."}],"event":{"name":"ICIMCS '15: International Conference on Internet Multimedia Computing and Service","acronym":"ICIMCS '15","location":"Zhangjiajie Hunan China"},"container-title":["Proceedings of the 7th International Conference on Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2808492.2808554","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2808492.2808554","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:42:52Z","timestamp":1750225372000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2808492.2808554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,19]]},"references-count":16,"alternative-id":["10.1145\/2808492.2808554","10.1145\/2808492"],"URL":"https:\/\/doi.org\/10.1145\/2808492.2808554","relation":{},"subject":[],"published":{"date-parts":[[2015,8,19]]},"assertion":[{"value":"2015-08-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}