{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T23:40:56Z","timestamp":1649029256042},"reference-count":14,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"Research Foundation of Education Bureau of Hunan Province","award":["13C474"],"award-info":[{"award-number":["13C474"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Multimedia"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>Video event detection is a challenging problem in many applications, such as video surveillance and video content analysis. In this paper, we propose a new framework to perceive high-level codewords by analyzing temporal relationship between different channels of video features. The low-level vocabulary words are firstly generated after different audio and visual feature extraction. A weighted undirected graph is constructed by exploring the Granger Causality between low-level words. Then, a greedy agglomerative graph-partitioning method is used to discover low-level word groups which have similar temporal pattern. The high-level codebooks representation is obtained by quantification of low-level words groups. Finally, multiple kernel learning, combined with our high-level codewords, is used to detect the video event. Extensive experimental results show that the proposed method achieves preferable results in video event detection.<\/jats:p>","DOI":"10.1155\/2015\/698316","type":"journal-article","created":{"date-parts":[[2015,6,23]],"date-time":"2015-06-23T17:37:22Z","timestamp":1435081042000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["High-Level Codewords Based on Granger Causality for Video Event Detection"],"prefix":"10.1155","volume":"2015","author":[{"given":"Shao-nian","family":"Huang","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410083, China"},{"name":"School of Computer and Information Engineering, Hunan University of Commerce, Changsha 410205, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-jun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mansoor Ahmed","family":"Khuhro","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2014.2315780"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2243640"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-012-0024-2"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-008-0126-2"},{"key":"11","first-page":"2491","volume":"9","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0525-x"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2012.2234731"},{"issue":"2","key":"20","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1007\/s11042-012-1097-x","volume":"70","year":"2014","journal-title":"Multimedia Tools and Applications"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0567-0"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000029664.99615.94"},{"key":"27","year":"1996"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/87.4.767"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1982.10477803"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.06.018"}],"container-title":["Advances in Multimedia"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2015\/698316.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2015\/698316.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2015\/698316.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T10:23:27Z","timestamp":1498213407000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/am\/2015\/698316\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":14,"alternative-id":["698316","698316"],"URL":"https:\/\/doi.org\/10.1155\/2015\/698316","relation":{},"ISSN":["1687-5680","1687-5699"],"issn-type":[{"value":"1687-5680","type":"print"},{"value":"1687-5699","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}