{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T18:49:09Z","timestamp":1758394149986},"reference-count":6,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T00:00:00Z","timestamp":1601596800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T00:00:00Z","timestamp":1601596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11704-019-9187-9","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T12:03:01Z","timestamp":1601640181000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An automated framework for advertisement detection and removal from sports videos using audio-visual cues"],"prefix":"10.1007","volume":"15","author":[{"given":"Abeer","family":"Toheed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Javed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aun","family":"Irtaza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Dawood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hussain","family":"Dawood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed S.","family":"Alfakeeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,2]]},"reference":[{"key":"9187_CR1","unstructured":"Ramires A, Cocharro D, Davies M E P. An audio-only method for advertisement detection in broadcast television content. 2018, arXiv preprint arXiv:1811.02411"},{"issue":"4","key":"9187_CR2","doi-asserted-by":"publisher","first-page":"8939","DOI":"10.1007\/s10586-018-2024-3","volume":"22","author":"C Luo","year":"2019","unstructured":"Luo C, Peng Y, Zhu T, Li L. An optimization framework of video advertising: using deep learning algorithm based on global image information. Cluster Computing, 2019, 22(4): 8939\u20138951","journal-title":"Cluster Computing"},{"key":"9187_CR3","unstructured":"Hossari M, Dev S, Nicholson M, Mccabe K, Nautiyal A, Conran C, et al. ADNet: a deep network for detecting adverts. In: Proceedings of CEUR Workshop. 2018, 45\u201353"},{"key":"9187_CR4","unstructured":"Qian X, Tang G. Research on TV advertisement detection base on video shot. In: Proceedings of the 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization. 2012, 245\u2013248"},{"key":"9187_CR5","unstructured":"Zhang B, Xu B. Context-dependent audio-visual and temporal features fusion for TV commercial detection. In: Proceedings of International Symposium on Circuits and Systems. 2013, 5\u20138"},{"issue":"2","key":"9187_CR6","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s13735-016-0095-6","volume":"5","author":"R Hannane","year":"2016","unstructured":"Hannane R, Elboushaki A, Afdel K, Naghabhushan P, Javed M. An efficient method for video shot boundary detection and keyframe extraction using SIFT-point distribution histogram. International Journal of Multimedia Information Retrieval, 2016, 5(2): 89\u2013104","journal-title":"International Journal of Multimedia Information Retrieval"}],"container-title":["Frontiers of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-019-9187-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11704-019-9187-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-019-9187-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T07:24:59Z","timestamp":1677482699000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11704-019-9187-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,2]]},"references-count":6,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["9187"],"URL":"https:\/\/doi.org\/10.1007\/s11704-019-9187-9","relation":{},"ISSN":["2095-2228","2095-2236"],"issn-type":[{"value":"2095-2228","type":"print"},{"value":"2095-2236","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,2]]},"assertion":[{"value":"12 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"152313"}}