{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:20:19Z","timestamp":1740108019203,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T00:00:00Z","timestamp":1523404800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan, R.O.C.","doi-asserted-by":"crossref","award":["MOST 103-2221-E-182-049","MOST-106-2221-E-182-075"],"award-info":[{"award-number":["MOST 103-2221-E-182-049","MOST-106-2221-E-182-075"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100005795","name":"Chang Gung Memorial Hospital, Linkou","doi-asserted-by":"publisher","award":["BMRPB21"],"award-info":[{"award-number":["BMRPB21"]}],"id":[{"id":"10.13039\/501100005795","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s00521-018-3463-8","type":"journal-article","created":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T04:41:50Z","timestamp":1523421710000},"page":"6479-6492","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hopfield network-based approach to detect seam-carved images and identify tampered regions"],"prefix":"10.1007","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2169-2408","authenticated-orcid":false,"given":"Jyh-Da","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui-Jun","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Che-Wen","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,4,11]]},"reference":[{"issue":"10","key":"3463_CR1","first-page":"125:1","volume":"28","author":"W Dong","year":"2009","unstructured":"Dong W, Zhou N, Paul JC, Zhang X (2009) Optimized image resizing using seam carving and scaling. ACM Trans Graph 28(10):125:1\u2013125:10","journal-title":"ACM Trans Graph"},{"issue":"4","key":"3463_CR2","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1162\/08997660360581967","volume":"15","author":"T Elliott","year":"2003","unstructured":"Elliott T (2003) An analysis of synaptic normalization in a general class of hebbian models. Neural Comput 15(4):937\u2013963","journal-title":"Neural Comput"},{"key":"3463_CR3","first-page":"36","volume":"7541","author":"C Fillion","year":"2010","unstructured":"Fillion C, Sharma G (2010) Detecting content adaptive scaling of images for forensic applications. Proc SPIE: Media Forensics Secur 7541:36\u201347","journal-title":"Proc SPIE: Media Forensics Secur"},{"issue":"9","key":"3463_CR4","doi-asserted-by":"publisher","first-page":"2346","DOI":"10.1162\/NECO_a_00322","volume":"24","author":"MN Galtier","year":"2012","unstructured":"Galtier MN, Faugeras OD, Bressloff PC (2012) Hebbian learning of recurrent connections: a geometrical perspective. Neural Comput 24(9):2346\u20132383","journal-title":"Neural Comput"},{"key":"3463_CR5","volume-title":"Digital image processing","author":"RC Gonzalez","year":"2001","unstructured":"Gonzalez RC, Woods RE (2001) Digital image processing, 2nd edn. Prentice Hall, Englewood Cliffs","edition":"2"},{"key":"3463_CR6","doi-asserted-by":"publisher","first-page":"1801","DOI":"10.1109\/LSP.2016.2603842","volume":"23","author":"TR Goodall","year":"2016","unstructured":"Goodall TR, Katsavounidis I, Li Z, Aaron A, Bovik AC (2016) Blind picture upscaling ratio prediction. IEEE Signal Process Lett 23:1801\u20131805","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"3463_CR7","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/18.32122","volume":"35","author":"GM Jacyna","year":"1989","unstructured":"Jacyna GM, Malaret ER (1989) Classification performance of a hopfield neural network based on a hebbian-like learning rule. IEEE Trans Inf Theory 35(2):263\u2013280","journal-title":"IEEE Trans Inf Theory"},{"issue":"6","key":"3463_CR8","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84\u201390","journal-title":"Commun ACM"},{"key":"3463_CR9","unstructured":"Li ZN, Drew MS, Liu J (2014) Image compression standards. In: Fundamentals of multimedia, 2 edn, chap. 9. Springer, Berlin, pp 281\u2013315"},{"key":"3463_CR10","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.patcog.2016.12.010","volume":"65","author":"Q Liu","year":"2016","unstructured":"Liu Q (2016) An approach to detecting jpeg down-recompression and seam carving forgery under recompression anti-forensics. Pattern Recognit 65:35\u201346","journal-title":"Pattern Recognit"},{"issue":"4","key":"3463_CR11","first-page":"63:1","volume":"5","author":"Q Liu","year":"2014","unstructured":"Liu Q, Chen Z (2014) Improved approaches with calibrated neighboring joint density to steganalysis and seam-carved forgery detection in jpeg images. ACM Trans Intell Syst Technol 5(4):63:1\u201363:30","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"2","key":"3463_CR12","doi-asserted-by":"publisher","first-page":"16:1","DOI":"10.1145\/1899412.1899420","volume":"2","author":"Q Liu","year":"2011","unstructured":"Liu Q, Sung AH, Qiao M (2011) Neighboring joint density-based jpeg steganalysis. ACM Trans Intell Syst Technol 2(2):16:1\u201316:16","journal-title":"ACM Trans Intell Syst Technol"},{"key":"3463_CR13","unstructured":"Lu W, Varna AL, Wu M (2010) Forensic hash for multimedia information. In: SPIE Media Forensics and Security, pp 75410\u201375419"},{"issue":"5","key":"3463_CR14","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1109\/72.410360","volume":"6","author":"F Palmieri","year":"1995","unstructured":"Palmieri F, Zhu J (1995) Self-association and hebbian learning in linear neural networks. IEEE Trans Neural Netw 6(5):1165\u20131184","journal-title":"IEEE Trans Neural Netw"},{"key":"3463_CR15","doi-asserted-by":"publisher","first-page":"160:1","DOI":"10.1145\/1882261.1866186","volume":"29","author":"M Rubinstein","year":"2010","unstructured":"Rubinstein M, Gutierrez D, Sorkine O, Shamir A (2010) A comparative study of image retargeting. ACM Trans Graph 29:160:1\u2013160:10","journal-title":"ACM Trans Graph"},{"issue":"3","key":"3463_CR16","doi-asserted-by":"publisher","first-page":"16:1","DOI":"10.1145\/1360612.1360615","volume":"27","author":"M Rubinstein","year":"2008","unstructured":"Rubinstein M, Shamir A, Avidan S (2008) Improved seam carving for video retargeting. ACM Trans Graph 27(3):16:1\u201316:9","journal-title":"ACM Trans Graph"},{"key":"3463_CR17","doi-asserted-by":"publisher","first-page":"3074","DOI":"10.4028\/www.scientific.net\/AMM.284-287.3074","volume":"284","author":"SJ Ryu","year":"2013","unstructured":"Ryu SJ, Lee HY, Lee HK (2013) Detection of content-aware image resizing using seam properties. Appl Mech Mater 284:3074\u20133078","journal-title":"Appl Mech Mater"},{"key":"3463_CR18","doi-asserted-by":"crossref","unstructured":"Sarkar A, Nataraj L, Manjunath BS (2009) Detection of seam carving and localization of seam insertions in digital images. In: Proceedings of 11th ACM workshop on multimedia and security, pp 107\u2013116","DOI":"10.1145\/1597817.1597837"},{"key":"3463_CR19","unstructured":"Schaefer G, Stich M (2003) UCID: an uncompressed color image database. In: Proceedings of SPIE 5307, pp 472\u2013480"},{"issue":"3","key":"3463_CR20","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1276377.1276511","volume":"26","author":"A Shamir","year":"2007","unstructured":"Shamir A, Avidan S (2007) Seam carving for content aware image resizing. ACM Trans Graph 26(3):107\u2013216","journal-title":"ACM Trans Graph"},{"key":"3463_CR21","unstructured":"Sheng G, Li T, Su Q, Chen B, Tang Y (2016) Detection of content-aware image resizing based on benfords law. Soft Computing, pp 1\u20139"},{"key":"3463_CR22","unstructured":"Shi Y.Q, Chen C, Chen W (2006) A markov process based approach to effective attacking jpeg steganography. In: Lecture notes in computer science, pp 249\u2013264"},{"key":"3463_CR23","doi-asserted-by":"crossref","unstructured":"Wang Y, Liu J, Li Y, Yan J, Lu H (2016) Objectness-aware semantic segmentation. In: Proceedings of the 2016 ACM on multimedia conference (ACM MM 2016), pp 307\u2013311","DOI":"10.1145\/2964284.2967232"},{"issue":"12","key":"3463_CR24","doi-asserted-by":"publisher","first-page":"2477","DOI":"10.1109\/TIFS.2015.2464776","volume":"10","author":"K Wattanachote","year":"2015","unstructured":"Wattanachote K, Shih TK, Chang WL, Chang HH (2015) Tamper detection of jpeg image due to seam modifications. IEEE Trans Inf Forensics Secur 10(12):2477\u20132491","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"3463_CR25","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.patrec.2013.09.026","volume":"36","author":"JD Wei","year":"2014","unstructured":"Wei JD, Lin YJ, Wu YJ (2014) A patch analysis method to detect seam carved images. Pattern Recognit Lett 36:100\u2013106","journal-title":"Pattern Recognit Lett"},{"key":"3463_CR26","doi-asserted-by":"crossref","unstructured":"Wei JD, Lin YJ, Wu YJ, Kang LW (2013) A patch analysis approach for seam carved image detection. In: Proceedings of 40th international conference and exhibition on computer graphics and interactive techniques (ACM SIGGRAPH 2013)","DOI":"10.1145\/2503385.2503445"},{"key":"3463_CR27","doi-asserted-by":"crossref","unstructured":"Yan B, Yang X, Li K (2014) Efficient image retargeting via adaptive pixel fusion. In: Proceedings of ACM international conference on multimedia, pp 929\u2013932","DOI":"10.1145\/2647868.2654959"},{"key":"3463_CR28","first-page":"13","volume":"35","author":"J Ye","year":"2017","unstructured":"Ye J, Shi YQ (2017) An effective method to detect seam carving. J Inf Secur Appl 35:13\u201322","journal-title":"J Inf Secur Appl"},{"key":"3463_CR29","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.cose.2015.09.003","volume":"55","author":"T Yin","year":"2015","unstructured":"Yin T, Yang G, Li L, Zhang D, Sun X (2015) Detecting seam carving based image resizing using local binary patterns. Comput Secur 55:130\u2013141","journal-title":"Comput Secur"},{"key":"3463_CR30","first-page":"135","volume":"36","author":"D Zhang","year":"2017","unstructured":"Zhang D, Li Q, Yang G, Li L, Sun X (2017) Detection of image seam carving by using weber local descriptor and local binary patterns. J Inf Secur Appl 36:135\u2013144","journal-title":"J Inf Secur Appl"},{"key":"3463_CR31","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/j.jvcir.2017.07.006","volume":"48","author":"D Zhang","year":"2017","unstructured":"Zhang D, Yin T, Yang G, Xia M, Li L, Sun X (2017) Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies. J Vis Commun Image Represent 48:281\u2013291","journal-title":"J Vis Commun Image Represent"},{"issue":"C","key":"3463_CR32","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.neucom.2015.06.113","volume":"204","author":"N Zhu","year":"2016","unstructured":"Zhu N, Deng C, Gao X (2016) A learning-to-rank approach for image scaling factor estimation. Neurocomputing 204(C):33\u201340","journal-title":"Neurocomputing"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3463-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3463-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3463-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,20]],"date-time":"2019-10-20T16:46:02Z","timestamp":1571589962000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3463-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,11]]},"references-count":32,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["3463"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3463-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2018,4,11]]},"assertion":[{"value":"8 March 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no potential conflicts of interest with respect to the research, authorship, and publication of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}