{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:20Z","timestamp":1772119880620,"version":"3.50.1"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"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":["Wireless Pers Commun"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s11277-024-11028-z","type":"journal-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T03:01:47Z","timestamp":1715137307000},"page":"655-674","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Region Duplication Tampering Detection and Localization in Digital Video Using Haar Wavelet Transform"],"prefix":"10.1007","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4513-4825","authenticated-orcid":false,"given":"J. Nirmal","family":"Jothi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ezhil E.","family":"Nithila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"X. Ascar","family":"Davix","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,8]]},"reference":[{"key":"11028_CR1","doi-asserted-by":"crossref","unstructured":"Ye, Z., Xia, M., Yi, R., Zhang, J., Lai, Y.- K., Huang, X., Zhang, G., & Liu, Y.-J. (2022). Audio-driven talking face video generation with dynamic convolution kernels. TMM.","DOI":"10.1109\/TMM.2022.3142387"},{"key":"11028_CR2","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.diin.2019.03.006","volume":"29","author":"P Johnston","year":"2019","unstructured":"Johnston, P., & Elyan, E. (2019). A review of digital video tampering: From simple editing to full synthesis. Digital Investigation, 29, 67\u201381.","journal-title":"Digital Investigation"},{"key":"11028_CR3","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.diin.2016.06.003","volume":"18","author":"K Sitara","year":"2016","unstructured":"Sitara, K., & Mehtre, B. M. (2016). Digital video tampering detection: An overview of passive techniques. Digital Investigation, 18, 8\u201322.","journal-title":"Digital Investigation"},{"key":"11028_CR4","doi-asserted-by":"crossref","unstructured":"Xu, Z., Hong, Z., Ding, C., Zhu, Z., Han, J., Liu, J., & Ding, E. (2022). Mobile face swap: A lightweight framework for video face swapping. In AAAI.","DOI":"10.1609\/aaai.v36i3.20203"},{"key":"11028_CR5","doi-asserted-by":"publisher","first-page":"11527","DOI":"10.1007\/s11042-018-6585-1","volume":"78","author":"G Singh","year":"2019","unstructured":"Singh, G., & Singh, K. (2019). Video frame and region duplication forgery detection based on correlation coefficient and coefficient of variation. Multimedia Tools and Applications, 78, 11527\u201311562.","journal-title":"Multimedia Tools and Applications"},{"key":"11028_CR6","doi-asserted-by":"publisher","first-page":"5427","DOI":"10.1007\/s00500-019-04298-4","volume":"24","author":"J Nirmal Jothi","year":"2020","unstructured":"Nirmal Jothi, J., & Letitia, S. (2020). Tampering detection using hybrid local and global features in wavelet-transformed space with digital images. Soft Computing, 24, 5427\u20135443.","journal-title":"Soft Computing"},{"key":"11028_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.diin.2016.08.002","volume":"19","author":"RC Pandey","year":"2016","unstructured":"Pandey, R. C., Singh, S. K., & Shukla, K. K. (2016). Passive forensicsin image and video using noise features: A review. Digital Investigation, 19, 1\u201328.","journal-title":"Digital Investigation"},{"key":"11028_CR8","first-page":"62","volume":"4","author":"H Kaur","year":"2015","unstructured":"Kaur, H., Saxena, J., & Singh, S. (2015). Simulative comparison of copy-move forgery detection methods for digital images. International Journal of Electronics, Electrical and Computational System, 4, 62\u201366.","journal-title":"International Journal of Electronics, Electrical and Computational System"},{"issue":"11","key":"11028_CR9","doi-asserted-by":"publisher","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","volume":"21","author":"B Zitova","year":"2003","unstructured":"Zitova, B., & Flusser, J. (2003). Image registration methods: A survey. Image and Vision Computing, 21(11), 977\u20131000.","journal-title":"Image and Vision Computing"},{"issue":"1","key":"11028_CR10","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s00521-016-2663-3","volume":"30","author":"M Alkawaz","year":"2018","unstructured":"Alkawaz, M., Sulong, G., Saba, T., & Rehman, A. (2018). Detection of copy\u2013move image forgery based on discrete cosine transform. Neural Computing and Applications, 30(1), 183\u2013192.","journal-title":"Neural Computing and Applications"},{"key":"11028_CR11","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.1007\/s11045-017-0496-6","volume":"29","author":"Su Lichao","year":"2018","unstructured":"Lichao, Su., & Li, C. (2018). A novel passive forgery detection algorithm for video region duplication. Multidimensional Systems and Signal Processing, 29, 1173\u20131190.","journal-title":"Multidimensional Systems and Signal Processing"},{"key":"11028_CR12","doi-asserted-by":"crossref","unstructured":"Qadir, G., Yahaya, S., & Ho, A.T. (2012). Surrey university library for forensic analysis (SULFA) of video content. In IET conference on image processing, pp. 1\u20136.","DOI":"10.1049\/cp.2012.0422"},{"key":"11028_CR13","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., & Bradski, G.R. (2011). ORB: An efficient alternative to SIFT or SURF. In ICCV, 11(1), 2564-2571.","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"11028_CR14","doi-asserted-by":"crossref","unstructured":"Lin, G.S, Chang, J.F., & Chuang, C.H. (2011). Detecting frame duplication based on spatial and temporal analyses. In Proceedings of the 2011 6th international conference on computer science & education (ICCSE), pp. 1396\u20131399.","DOI":"10.1109\/ICCSE.2011.6028891"},{"key":"11028_CR15","doi-asserted-by":"crossref","unstructured":"Sujatha, G., Hemavathi, D., Sornalakshmi, K., & Sindhu, S. (2021). Video tampering detection using difference-hashing algorithm. In Journal of physics: conference series, p. 1804.","DOI":"10.1088\/1742-6596\/1804\/1\/012145"},{"key":"11028_CR16","doi-asserted-by":"crossref","unstructured":"Gan, Y., Yang, J., & Lai, W. (2019). Video object forgery detection algorithm based on VGG-11 convolutional neural network. In 2019 International conference on intelligent computing, automation -and systems (ICICAS), pp. 575\u2013580.","DOI":"10.1109\/ICICAS48597.2019.00126"},{"key":"11028_CR17","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s00530-015-0478-1","volume":"23","author":"Y Liu","year":"2017","unstructured":"Liu, Y., & Huang, T. (2017). Exposing video inter-frame forgery by Zernike opponent chromaticity moments and coarseness analysi. Multimedia Systems, 23, 223\u2013238.","journal-title":"Multimedia Systems"},{"key":"11028_CR18","doi-asserted-by":"crossref","unstructured":"J Bakas, R Naskar (2018) A digital forensic technique for inter\u2013frame video forgery detection based on 3D CNN. In Information systems security, pp. 304\u2013317","DOI":"10.1007\/978-3-030-05171-6_16"},{"issue":"11","key":"11028_CR19","doi-asserted-by":"publisher","first-page":"2138","DOI":"10.1109\/TCSVT.2015.2473436","volume":"26","author":"S Chen","year":"2016","unstructured":"Chen, S., Tan, S., Li, B., & Huang, J. (2016). Automatic detection of object-based forgery in advanced video. IEEE Transactions on Circuits and Systems for Video Technology, 26(11), 2138\u20132151.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"11028_CR20","doi-asserted-by":"crossref","unstructured":"Bidokhti, A., & Ghaemmaghami, S. (2015). Detection of regional copy\/move forgery in MPEG videos using optical flow. In 2015 The international symposium on artificial intelligence and signal processing (AISP), pp. 13\u201317.","DOI":"10.1109\/AISP.2015.7123529"},{"issue":"10","key":"11028_CR21","doi-asserted-by":"publisher","first-page":"4131","DOI":"10.1109\/TCSVT.2020.3046240","volume":"31","author":"Q Yang","year":"2021","unstructured":"Yang, Q., Yu, D., Zhang, Z., Yao, Y., & Chen, L. (2021). Spatiotemporal trident networks: detection and localization of object removal tampering in video passive forensics. IEEE Transactions on Circuits and Systems for Video Technology, 31(10), 4131\u20134144.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"11028_CR22","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.ins.2020.05.134","volume":"537","author":"J Zhong","year":"2020","unstructured":"Zhong, J., Pun, C.-M., & Gan, Y. (2020). Dense moment feature index and best match algorithms for video copy-move forgery detection. Information Science, 537, 184\u2013202.","journal-title":"Information Science"},{"issue":"9","key":"11028_CR23","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1109\/TCSVT.2017.2712162","volume":"28","author":"M Asikuzzaman","year":"2018","unstructured":"Asikuzzaman, M., & Pickering, M. R. (2018). An overview of digital video watermarking. IEEE Transactions on Circuits and Systems for Video Technology, 28(9), 2131\u20132153.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"3","key":"11028_CR24","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1109\/TIM.2017.2777620","volume":"67","author":"V Amanipour","year":"2018","unstructured":"Amanipour, V., & Ghaemmaghami, S. (2018). Video-tampering detection and content reconstruction via self-embedding. IEEE Transactions on Instrumentation and Measurement, 67(3), 505\u2013515.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"11028_CR25","doi-asserted-by":"publisher","first-page":"103401","DOI":"10.1016\/j.jvcir.2021.103401","volume":"82","author":"M Raveendra","year":"2022","unstructured":"Raveendra, M., & Nagireddy, K. (2022). Tamper video detection and localization using an adaptive segmentation and deep network technique. Journal of Visual Communication and Image Representation, 82, 103401.","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"11028_CR26","doi-asserted-by":"publisher","first-page":"110979","DOI":"10.1016\/j.forsciint.2021.110979","volume":"327","author":"PS Raskar","year":"2021","unstructured":"Raskar, P. S., & Shah, S. K. (2021). Real time object-based video forgery detection using YOLO (V2). Forensic Science International, 327, 110979.","journal-title":"Forensic Science International"},{"key":"11028_CR27","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1155\/2016\/8713202","volume":"2016","author":"T Mahmood","year":"2016","unstructured":"Mahmood, T., Nawaz, T., Irtaza, A., Ashraf, R., Shah, M., & Mahmood, M. T. (2016). Copy\u2013move forgery detection technique for forensic analysis in digital images. Mathematical Problems in Engineering, 2016, 13.","journal-title":"Mathematical Problems in Engineering"},{"issue":"2","key":"11028_CR28","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s10044-016-0588-1","volume":"21","author":"XY Wang","year":"2018","unstructured":"Wang, X. Y., Liu, Y. N., Huan, X., Wang, P., & Yang, H.-Y. (2018). Robust copy\u2013move forgery detection using quaternion exponent moments. Pattern Analysis and Applications, 21(2), 451\u2013467.","journal-title":"Pattern Analysis and Applications"},{"issue":"11","key":"11028_CR29","doi-asserted-by":"publisher","first-page":"2284","DOI":"10.1109\/TIFS.2015.2455334","volume":"10","author":"D Cozzolino","year":"2015","unstructured":"Cozzolino, D., Poggi, G., & Verdoliva, L. (2015). Efficient dense-field copy\u2013move forgery detection. IEEE Transactions Information Forensics Security, 10(11), 2284\u20132297.","journal-title":"IEEE Transactions Information Forensics Security"},{"issue":"6","key":"11028_CR30","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.3390\/electronics12061362","volume":"12","author":"Q Li","year":"2023","unstructured":"Li, Q., Wang, R., & Xu, D. (2023). A video splicing forgery detection and localization algorithm based on sensor pattern noise. Electronics, 12(6), 1362.","journal-title":"Electronics"},{"issue":"1\u20133","key":"11028_CR31","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.forsciint.2013.09.013","volume":"233","author":"J Zhao","year":"2013","unstructured":"Zhao, J., & Guo, J. (2013). Passive forensics for copy\u2013move forgery using a method based on DCT and SVD. Forensic Science International, 233(1\u20133), 158\u2013166.","journal-title":"Forensic Science International"},{"issue":"5","key":"11028_CR32","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1049\/iet-ipr.2016.0537","volume":"11","author":"R Dixit","year":"2017","unstructured":"Dixit, R., Naskar, R., & Mishra, S. (2017). Blur invariant copy\u2013move forgery detection technique with improved detection accuracy utilizing SWT-SVD. IET Image Processing, 11(5), 301\u2013309.","journal-title":"IET Image Processing"},{"key":"11028_CR33","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1016\/j.compeleceng.2017.03.013","volume":"62","author":"H Khizear","year":"2017","unstructured":"Khizear, H., & Qazi, T. (2017). Forgery detection in digital images via discrete wavelet and discrete cosine transforms. Computers and Electrical Engineering, 62, 448\u2013458.","journal-title":"Computers and Electrical Engineering"},{"key":"11028_CR34","doi-asserted-by":"crossref","unstructured":"Ardizzone E., Bruno, A., & Mazzola, G. (2010). Copy-move forgery detection via texture description. In Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, ACM, pp. 59\u201364.","DOI":"10.1145\/1877972.1877990"},{"issue":"2","key":"11028_CR35","doi-asserted-by":"publisher","first-page":"117","DOI":"10.22452\/mjcs.vol30no2.4","volume":"30","author":"S Sadeghi","year":"2017","unstructured":"Sadeghi, S., Jalab, H. A., Wong, K. S., Uliyan, D., & Dadkhah, S. (2017). Keypoint based authentication and localization of copy\u2013move forgery in digital image. Malaysian Journal of Computer Science, 30(2), 117\u2013133.","journal-title":"Malaysian Journal of Computer Science"},{"issue":"2","key":"11028_CR36","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1109\/TCSVT.2022.3204740","volume":"33","author":"W Lu","year":"2023","unstructured":"Lu, W., Xu, W., & Sheng, Z. (2023). An interpretable image tampering detection approach based on cooperative game. IEEE Transactions on Circuits and Systems for Video Technology, 33(2), 952\u2013962. https:\/\/doi.org\/10.1109\/TCSVT.2022.3204740","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"11028_CR37","doi-asserted-by":"crossref","unstructured":"Gu, Z., Chen, Y., Yao, T., Ding, S., Li, J., & Ma, L. (2022). Delving into the local: Dynamic inconsistency learning for deepfake video detection. In AAAI.","DOI":"10.24963\/ijcai.2022\/129"},{"key":"11028_CR38","doi-asserted-by":"crossref","unstructured":"Calonder, M., Lepetit, V., Strecha, C., & Fua, P. (2010). Brief: Binary robust independent elementary features. In European conference on computer vision (pp. 778\u2013792). Springer.","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"11028_CR39","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.ins.2016.01.061","volume":"345","author":"X Bi","year":"2016","unstructured":"Bi, X., Pun, C. M., & Yuan, X. C. (2016). Multi-level dense descriptor and hierarchical feature matching for copy\u2013move forgery detection. Information Sciences, 345, 226\u2013242.","journal-title":"Information Sciences"},{"key":"11028_CR40","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.jvcir.2015.07.007","volume":"31","author":"JC Lee","year":"2015","unstructured":"Lee, J. C. (2015). Copy-move image forgery detection based on Gabor magnitude. Journal of Visual Communication and Image Representation, 31, 320\u2013334.","journal-title":"Journal of Visual Communication and Image Representation"},{"issue":"11","key":"11028_CR41","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1109\/TIFS.2016.2585118","volume":"11","author":"M Zandi","year":"2016","unstructured":"Zandi, M., Mahmoudi Aznaveh, A., & Talebpour, A. (2016). Iterative copy-move forgery detection based on a new interest point detector. IEEE Transactions on Information Forensics and Security, 11(11), 2499\u20132512.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"11028_CR42","first-page":"57","volume":"265","author":"SM Fadl","year":"2017","unstructured":"Fadl, S. M., & Semary, N. A. (2017). Robust copy\u2013move forgery revealing in digital images using polar coordinate system. Neuro Computing, 265, 57\u201365.","journal-title":"Neuro Computing"},{"issue":"3","key":"11028_CR43","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1109\/TIFS.2011.2129512","volume":"6","author":"I Amerini","year":"2011","unstructured":"Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., & Serra, G. (2011). A sift-based forensic method for copy\u2013move attack detection and transformation recovery. IEEE Transactions on Information Forensics and Security, 6(3), 1099\u20131110.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"11028_CR44","unstructured":"Tralic, D., Zupancic, I., Grgic, S., & Grgic, M. (2013). CoMoFoD\u2014new database for copy\u2013move forgery detection. In ELMAR, pp. 49\u201354."},{"key":"11028_CR45","doi-asserted-by":"crossref","unstructured":"Wang, W., & Farid, H. (2007). Exposing digital forgeries in video by detecting duplication. In Proceedings of the 9th workshop on multimedia and security, ACM, pp. 35\u201342.","DOI":"10.1145\/1288869.1288876"},{"key":"11028_CR46","doi-asserted-by":"crossref","unstructured":"Yavuz, F., Bal, A., & Cukur, H. (2016). An effective detection algorithm for region duplication forgery in digital images. In Optical pattern recognition XXVII, international society for optics and photonics, pp. 9845.","DOI":"10.1117\/12.2223732"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-024-11028-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-024-11028-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-024-11028-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T08:30:09Z","timestamp":1715589009000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-024-11028-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":46,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["11028"],"URL":"https:\/\/doi.org\/10.1007\/s11277-024-11028-z","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-1791454\/v1","asserted-by":"object"}]},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"2 April 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"This article does not contain any studies with human or animal subjects performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and Animal Rights"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}}]}}