{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:06Z","timestamp":1750220646524,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,20]],"date-time":"2020-10-20T00:00:00Z","timestamp":1603152000000},"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":[[2020,10,20]]},"DOI":"10.1145\/3424978.3425121","type":"proceedings-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T19:11:51Z","timestamp":1602789111000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Terrorist Video Detection System Based on Faster R-CNN and LightGBM"],"prefix":"10.1145","author":[{"given":"Chao","family":"Yi","sequence":"first","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunxiang","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Xi","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daodong","family":"Ming","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yisong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenwen","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen Fujian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Research on the idea of management and control of audio and video in cyber storms [J]. Electronic World, (01), 61--62","author":"Xiaoye Xiong","year":"2019","unstructured":"Xiong Xiaoye ( 2019 ). Research on the idea of management and control of audio and video in cyber storms [J]. Electronic World, (01), 61--62 . Xiong Xiaoye (2019). Research on the idea of management and control of audio and video in cyber storms [J]. Electronic World, (01), 61--62."},{"issue":"06","key":"e_1_3_2_1_2_1","first-page":"88","article-title":"Terrorism Network Propaganda from the Perspective of Criminal Law [J]","volume":"33","author":"Benqi Ouyang","year":"2018","unstructured":"Ouyang Benqi and Zhang Lin ( 2018 ). Terrorism Network Propaganda from the Perspective of Criminal Law [J] . Journal of Henan University of Economics and Law , 33 ( 06 ), 88 -- 99 . Ouyang Benqi and Zhang Lin (2018). Terrorism Network Propaganda from the Perspective of Criminal Law [J]. Journal of Henan University of Economics and Law, 33(06), 88--99.","journal-title":"Journal of Henan University of Economics and Law"},{"issue":"02","key":"e_1_3_2_1_3_1","first-page":"95","article-title":"Investigation of the case of disseminating violent and horrible audio-video cases---Taking the \"Top Ten Anti-Terrorism Cases in Sichuan\" in 2016 [J]","volume":"30","author":"Liming Liu","year":"2018","unstructured":"Liu Liming and Jiang Yudou ( 2018 ). Investigation of the case of disseminating violent and horrible audio-video cases---Taking the \"Top Ten Anti-Terrorism Cases in Sichuan\" in 2016 [J] . Journal of Guizhou Police Officer Vocational College , 30 ( 02 ), 95 -- 100 . Liu Liming and Jiang Yudou (2018). Investigation of the case of disseminating violent and horrible audio-video cases---Taking the \"Top Ten Anti-Terrorism Cases in Sichuan\" in 2016 [J]. Journal of Guizhou Police Officer Vocational College, 30(02), 95--100.","journal-title":"Journal of Guizhou Police Officer Vocational College"},{"key":"e_1_3_2_1_4_1","volume-title":"Research on Public Security Management and Control in People-Dense Places under Anti-Terrorism Situation [J]. Police Science Research, (03), 123--128","author":"Jinling Liu","year":"2019","unstructured":"Liu Jinling ( 2019 ). Research on Public Security Management and Control in People-Dense Places under Anti-Terrorism Situation [J]. Police Science Research, (03), 123--128 . Liu Jinling (2019). Research on Public Security Management and Control in People-Dense Places under Anti-Terrorism Situation [J]. Police Science Research, (03), 123--128."},{"issue":"05","key":"e_1_3_2_1_5_1","first-page":"37","article-title":"Key technologies for automatic recognition of illegal videos based on neural network technology [J]","volume":"4","author":"Zhongwen Qi","year":"2018","unstructured":"Qi Zhongwen ( 2018 ). Key technologies for automatic recognition of illegal videos based on neural network technology [J] . New Media Research , 4 ( 05 ), 37 -- 38 . Qi Zhongwen (2018). Key technologies for automatic recognition of illegal videos based on neural network technology [J]. New Media Research, 4(05), 37--38.","journal-title":"New Media Research"},{"key":"e_1_3_2_1_6_1","volume-title":"Research on violence shot recognition method based on audio and video feature fusion [D]","author":"Chenzhi Shao","year":"2019","unstructured":"Shao Chenzhi ( 2019 ). Research on violence shot recognition method based on audio and video feature fusion [D] . Harbin Institute of Technology . Shao Chenzhi (2019). Research on violence shot recognition method based on audio and video feature fusion [D]. Harbin Institute of Technology."},{"key":"e_1_3_2_1_7_1","volume-title":"Research on Deep Violation Network Video Violence Detection Algorithm [D]","author":"Xinxin Yuan","year":"2019","unstructured":"Yuan Xinxin ( 2019 ). Research on Deep Violation Network Video Violence Detection Algorithm [D] . Yanshan University . Yuan Xinxin (2019). Research on Deep Violation Network Video Violence Detection Algorithm [D]. Yanshan University."},{"key":"e_1_3_2_1_8_1","volume-title":"Yang Yushan and Zhao Yue","author":"Hongchang Li","year":"2019","unstructured":"Li Hongchang , Wang Jing , Han Jianjun , Zhang Jinmin , Yang Yushan and Zhao Yue ( 2019 ). Violent behavior detection based on deep learning [J]. Electronic World , (09), 138--139+142. Li Hongchang, Wang Jing, Han Jianjun, Zhang Jinmin, Yang Yushan and Zhao Yue (2019). Violent behavior detection based on deep learning [J]. Electronic World, (09), 138--139+142."},{"key":"e_1_3_2_1_9_1","volume-title":"Research on fast matching algorithm based on image features and gray value [D]","author":"Yuanfeng Zhang","year":"2018","unstructured":"Zhang Yuanfeng ( 2018 ). Research on fast matching algorithm based on image features and gray value [D] . Lanzhou University of Technology . Zhang Yuanfeng (2018). Research on fast matching algorithm based on image features and gray value [D]. Lanzhou University of Technology."},{"issue":"03","key":"e_1_3_2_1_10_1","first-page":"921","article-title":"Image matching algorithm based on SURF and fast approximate nearest neighbor search [J]","volume":"30","author":"Lulu Zhao","year":"2013","unstructured":"Zhao Lulu , Geng Guohua , Li Kang and He Ajing ( 2013 ). Image matching algorithm based on SURF and fast approximate nearest neighbor search [J] . Computer Application Research , 30 ( 03 ), 921 -- 923 . Zhao Lulu, Geng Guohua, Li Kang and He Ajing (2013). Image matching algorithm based on SURF and fast approximate nearest neighbor search [J]. Computer Application Research, 30(03), 921--923.","journal-title":"Computer Application Research"},{"key":"e_1_3_2_1_11_1","volume-title":"Yang Youliang and Ma Cuihong","author":"Ziren Wang","year":"2019","unstructured":"Wang Ziren , Yang Youliang and Ma Cuihong ( 2019 ). An improved SIFT image matching algorithm for 3D reconstruction [J]. Network Security Technology and Application , (08), 35--38. Wang Ziren, Yang Youliang and Ma Cuihong (2019). An improved SIFT image matching algorithm for 3D reconstruction [J]. Network Security Technology and Application, (08), 35--38."},{"issue":"01","key":"e_1_3_2_1_12_1","first-page":"75","article-title":"Research and implementation of content detection system for violent audio and video [J]","volume":"51","author":"Chao Huang","year":"2018","unstructured":"Huang Chao and Yi Ping ( 2018 ). Research and implementation of content detection system for violent audio and video [J] . Communication Technology , 51 ( 01 ), 75 -- 81 . Huang Chao and Yi Ping (2018). Research and implementation of content detection system for violent audio and video [J]. Communication Technology, 51(01), 75--81.","journal-title":"Communication Technology"},{"key":"e_1_3_2_1_13_1","volume-title":"Sun Yongfeng and Jiang Xinghao","author":"Yang Mi","year":"2016","unstructured":"Mi Yang , Sun Yongfeng and Jiang Xinghao ( 2016 ). A video detection algorithm based on joint features for terror video [J]. Information Technology , (10), 152--155. Mi Yang, Sun Yongfeng and Jiang Xinghao (2016). A video detection algorithm based on joint features for terror video [J]. Information Technology, (10), 152--155."},{"key":"e_1_3_2_1_14_1","volume-title":"Yu Jing and Jiang Wei","author":"Wei Song","year":"2016","unstructured":"Song Wei , Yang Pei , Yu Jing and Jiang Wei ( 2016 ). Violence video detection based on the concept of visual semantics [J]. Information Network Security , (09), 12--17. Song Wei, Yang Pei, Yu Jing and Jiang Wei (2016). Violence video detection based on the concept of visual semantics [J]. Information Network Security, (09), 12--17."},{"key":"e_1_3_2_1_15_1","volume-title":"Research on key technologies of violent terror video recognition based on deep learning [D]","author":"Kai Zhao","year":"2019","unstructured":"Zhao Kai ( 2019 ). Research on key technologies of violent terror video recognition based on deep learning [D] . Beijing University of Posts and Telecommunications . Zhao Kai (2019). Research on key technologies of violent terror video recognition based on deep learning [D]. Beijing University of Posts and Telecommunications."},{"key":"e_1_3_2_1_16_1","volume-title":"Design and implementation of terror video recognition system based on Logo detection [D]","author":"Yabin Fu","year":"2016","unstructured":"Fu Yabin ( 2016 ). Design and implementation of terror video recognition system based on Logo detection [D] . Beijing Jiaotong University . Fu Yabin (2016). Design and implementation of terror video recognition system based on Logo detection [D]. Beijing Jiaotong University."},{"key":"e_1_3_2_1_17_1","volume-title":"Design and implementation of a network video language recognition system [D]","author":"Zhe Wang","year":"2016","unstructured":"Wang Zhe ( 2016 ). Design and implementation of a network video language recognition system [D] . Beijing Jiaotong University . Wang Zhe (2016). Design and implementation of a network video language recognition system [D]. Beijing Jiaotong University."},{"issue":"03","key":"e_1_3_2_1_18_1","first-page":"73","article-title":"Spread and intervention of violent terror thought from the perspective of anti-terrorism legislation [J]","volume":"32","author":"Chenzi Pan","year":"2019","unstructured":"Pan Chenzi ( 2019 ). Spread and intervention of violent terror thought from the perspective of anti-terrorism legislation [J] . Journal of Shanxi Provincial Institute of Political Science and Law Administration , 32 ( 03 ), 73 -- 75 . Pan Chenzi (2019). Spread and intervention of violent terror thought from the perspective of anti-terrorism legislation [J]. Journal of Shanxi Provincial Institute of Political Science and Law Administration, 32(03), 73--75.","journal-title":"Journal of Shanxi Provincial Institute of Political Science and Law Administration"},{"key":"e_1_3_2_1_19_1","volume-title":"Design and implementation of clothing detection and ethnic detection in sensitive video [D]","author":"Wenchao Gong","year":"2016","unstructured":"Gong Wenchao ( 2016 ). Design and implementation of clothing detection and ethnic detection in sensitive video [D] . Beijing Jiaotong University . Gong Wenchao (2016). Design and implementation of clothing detection and ethnic detection in sensitive video [D]. Beijing Jiaotong University."},{"key":"e_1_3_2_1_20_1","first-page":"116","article-title":"Fast Fuzzy Subsequence Matching Algorithms on Time-series [J]","volume":"2018","author":"Gong Xueyuan","year":"2018","unstructured":"Xueyuan Gong , Simon Fong and Yain-Whar Si ( 2018 ). Fast Fuzzy Subsequence Matching Algorithms on Time-series [J] . Expert Systems with Applications , 2018 , 116 . Date: June. Xueyuan Gong, Simon Fong and Yain-Whar Si (2018). Fast Fuzzy Subsequence Matching Algorithms on Time-series [J]. Expert Systems with Applications, 2018, 116. Date: June.","journal-title":"Expert Systems with Applications"},{"key":"e_1_3_2_1_21_1","volume-title":"Analysis and design of file integrity detection system based on MD5 algorithm [J]. Network Security Technology and Application, (11), 36--38","author":"Yan Jin","year":"2019","unstructured":"Jin Yan ( 2019 ). Analysis and design of file integrity detection system based on MD5 algorithm [J]. Network Security Technology and Application, (11), 36--38 . Jin Yan (2019). Analysis and design of file integrity detection system based on MD5 algorithm [J]. Network Security Technology and Application, (11), 36--38."}],"event":{"name":"CSAE 2020: The 4th International Conference on Computer Science and Application Engineering","acronym":"CSAE 2020","location":"Sanya China"},"container-title":["Proceedings of the 4th International Conference on Computer Science and Application Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3424978.3425121","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3424978.3425121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:16Z","timestamp":1750197736000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3424978.3425121"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,20]]},"references-count":21,"alternative-id":["10.1145\/3424978.3425121","10.1145\/3424978"],"URL":"https:\/\/doi.org\/10.1145\/3424978.3425121","relation":{},"subject":[],"published":{"date-parts":[[2020,10,20]]},"assertion":[{"value":"2020-10-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}