{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:44:56Z","timestamp":1767008696277},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.5220\/0007392100850095","type":"proceedings-article","created":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T11:03:30Z","timestamp":1552647810000},"page":"85-95","source":"Crossref","is-referenced-by-count":5,"title":["Camera Tampering Detection using Generative Reference Model and Deep Learned Features"],"prefix":"10.5220","author":[{"given":"Pranav","family":"Mantini","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Houston, 4800 Calhoun Road, Houston, Texas and U.S.A., --- Select a Country ---"}]},{"given":"Shishir","family":"Shah","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Houston, 4800 Calhoun Road, Houston, Texas and U.S.A., --- Select a Country ---"}]}],"member":"3171","event":{"name":"14th International Conference on Computer Vision Theory and Applications","start":{"date-parts":[[2019,2,25]]},"location":"Prague, Czech Republic","end":{"date-parts":[[2019,2,27]]}},"container-title":["Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":["Camera Tampering Detection using Generative Reference Model and Deep Learned Features"],"deposited":{"date-parts":[[2019,5,15]],"date-time":"2019-05-15T13:20:18Z","timestamp":1557926418000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0007392100850095"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0007392100850095","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}