{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:42:46Z","timestamp":1743064966695,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031364013"},{"type":"electronic","value":"9783031364020"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36402-0_30","type":"book-chapter","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T21:39:27Z","timestamp":1687556367000},"page":"324-335","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1793-3347","authenticated-orcid":false,"given":"Sabhapathy","family":"Myakal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5608-7024","authenticated-orcid":false,"given":"Rajarshi","family":"Pal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0435-2949","authenticated-orcid":false,"given":"Nekuri","family":"Naveen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,24]]},"reference":[{"issue":"3","key":"30_CR1","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TIP.2006.891046","volume":"16","author":"DM Thodi","year":"2007","unstructured":"Thodi, D.M., Rodriguez, J.J.: Expansion embedding techniques for reversible watermarking. IEEE Trans. Image Process. 16(3), 721\u2013730 (2007)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"30_CR2","doi-asserted-by":"publisher","first-page":"5989","DOI":"10.1109\/TCSVT.2022.3166207","volume":"32","author":"H Wu","year":"2022","unstructured":"Wu, H., Li, X., Luo, X., Zhang, X., Zhao, Y.: General expansion-shifting model for reversible data hiding: theoretical investigation and practical algorithm design. IEEE Trans. Circuits Syst. Video Technol. 32(9), 5989\u20136001 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Leon, D., Balkir, S., Sayood, K., Hoffman, M.W.: A CMOS imager with pixel prediction for image compression. In: Proceedings of the IEEE International Symposium on Circuits and Systems, vol. 4, pp. IV-776\u2013IV-779 (2003)","DOI":"10.1109\/ISCAS.2003.1206302"},{"issue":"1","key":"30_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13640-017-0184-3","volume":"2017","author":"MUA Ayoobkhan","year":"2017","unstructured":"Ayoobkhan, M.U.A., Chikkannan, E., Ramakrishnan, K.: Lossy image compression based on prediction error and vector quantisation. EURASIP J. Image Video Process. 2017(1), 1\u201313 (2017). https:\/\/doi.org\/10.1186\/s13640-017-0184-3","journal-title":"EURASIP J. Image Video Process."},{"issue":"11","key":"30_CR5","doi-asserted-by":"publisher","first-page":"3236","DOI":"10.1109\/TCSVT.2018.2878932","volume":"29","author":"S Kim","year":"2019","unstructured":"Kim, S., Qu, X., Sachnev, V., Kim, H.J.: Skewed histogram shifting for reversible data hiding using a pair of extreme predictions. IEEE Trans. Circuits Syst. Video Technol. 29(11), 3236\u20133246 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Kumar, N., Kumar, R., Malik, A., Singh, S., Jung, K.-H.: Reversible data hiding with high visual quality using pairwise PVO and PEE. Multimedia Tools Appl. (2023)","DOI":"10.1007\/s11042-023-14867-3"},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Nguyen, N.-H., Pham, V.-A.: An efficient IPVO based reversible data hiding method using four pixel-pairs. Multimedia Tools Appl. (2023)","DOI":"10.1007\/s11042-023-14669-7"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Coltuc, D., Dragoi, I.-C.: Context embedding for raster-scan rhombus based reversible watermarking. In: Proceedings of the First ACM Workshop on Information Hiding and Multimedia Security, pp. 215\u2013220 (2013)","DOI":"10.1145\/2482513.2482535"},{"key":"30_CR9","unstructured":"Dragoi, C., Coltuc, D.: Improved rhombus interpolation for reversible watermarking by difference expansion. In: Proceedings of the 20th European Signal Processing Conference, pp. 1688\u20131692 (2012)"},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s11554-015-0548-9","volume":"14","author":"D-S Kim","year":"2018","unstructured":"Kim, D.-S., Yoon, E.-J., Kim, C., Yoo, K.-Y.: Reversible data hiding scheme with edge-direction predictor and modulo operation. J. Real-Time Image Process. 14, 137\u2013145 (2018)","journal-title":"J. Real-Time Image Process."},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.sigpro.2019.05.020","volume":"163","author":"Y Jia","year":"2019","unstructured":"Jia, Y., Yin, Z., Zhang, X., Luo, Y.: Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting. Signal Process. 163, 238\u2013246 (2019)","journal-title":"Signal Process."},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Uyyala, R., Pal, R.: Reversible data hiding with selected directional context Based prediction using 8-neighborhood. In: Proceedings of IEEE International Conference on Electronics, Computing and Communication Technologies, pp. 1\u20136 (2020)","DOI":"10.1109\/CONECCT50063.2020.9198609"},{"issue":"5","key":"30_CR13","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1049\/iet-ipr.2011.0244","volume":"6","author":"R Naskar","year":"2012","unstructured":"Naskar, R., Chakraborty, R.S.: Reversible watermarking utilizing weighted median-based prediction. IET Image Process. 6(5), 507\u2013520 (2012)","journal-title":"IET Image Process."},{"issue":"3","key":"30_CR14","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1109\/TIFS.2011.2145372","volume":"6","author":"D Coltuc","year":"2011","unstructured":"Coltuc, D.: Improved embedding for prediction-based reversible watermarking. IEEE Trans. Inf. Forensics Secur. 6(3), 873\u2013882 (2011)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Knezovic, J., Kovac, M.: Gradient based selective weighting of neighboring pixels for predictive lossless image coding. In: Proceedings of the 25th International Conference on Information Technology Interfaces, pp. 483\u2013488 (2003)","DOI":"10.1109\/ITI.2003.1225390"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Dragoi, I.C., Coltuc, D., Caciula, I.: Gradient based prediction for reversible watermarking by difference expansion. In: Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security, pp. 35\u201340 (2014)","DOI":"10.1145\/2600918.2600924"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Uyyala, R., Pal, R.: Reversible data hiding using improved gradient based prediction and adaptive histogram bin shifting. In: 7th International Conference on Signal Processing and Integrated Networks, pp. 720\u2013726 (2020)","DOI":"10.1109\/SPIN48934.2020.9071246"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Chen, Y., Huang, D., Ma, G., Wang, J.: Gradient-based directional predictor for reversible data hiding. In: Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, pp. 1553\u20131556 (2018)","DOI":"10.1109\/ICIEA.2018.8397956"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.aeue.2018.07.037","volume":"95","author":"K Shilpa","year":"2018","unstructured":"Shilpa, K., Aparna, P., Antony, A.: Gradient-oriented directional predictor for HEVC planar and angular intra prediction modes to enhance lossless compression. AEU - Int. J. Electron. Commun. 95, 73\u201381 (2018)","journal-title":"AEU - Int. J. Electron. Commun."},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.ins.2014.03.030","volume":"308","author":"W Hong","year":"2015","unstructured":"Hong, W., Chen, T.S., Chen, J.: Reversible data hiding using Delaunay triangulation and selective embedment. Inf. Sci. 308, 140\u2013154 (2015)","journal-title":"Inf. Sci."},{"issue":"11","key":"30_CR21","doi-asserted-by":"publisher","first-page":"1986","DOI":"10.1049\/iet-ipr.2019.0038","volume":"13","author":"R Uyyala","year":"2019","unstructured":"Uyyala, R., Pal, R., Prasad, M.V.N.K.: Reversible data hiding using B-tree triangular decomposition based prediction. IET Image Process. 13(11), 1986\u20131997 (2019)","journal-title":"IET Image Process."},{"key":"30_CR22","doi-asserted-by":"crossref","unstructured":"Uyyala, R., Pal, R.: Reversible data hiding based on the random distribution of reference pixels. In: Proceedings of IEEE Region Ten Symposium, pp. 225\u2013230 (2018)","DOI":"10.1109\/TENCONSpring.2018.8692030"},{"issue":"3","key":"30_CR23","doi-asserted-by":"publisher","first-page":"3361","DOI":"10.1007\/s11042-016-3960-7","volume":"76","author":"T-C Lu","year":"2017","unstructured":"Lu, T.-C., Chen, C.-M., Lin, M.-C., Huang, Y.-H.: Multiple predictors hiding scheme using asymmetric histograms. Multimedia Tools Appl. 76(3), 3361\u20133382 (2017)","journal-title":"Multimedia Tools Appl."},{"key":"30_CR24","doi-asserted-by":"crossref","unstructured":"Bhandari, A., Sharma, S., Uyyala, R., Pal, R., Verma, M.: Reversible data hiding using multi-layer perceptron based pixel prediction. In: Proceedings of the 11th International Conference on Advances in Information Technology, pp. 1\u20138 (2020)","DOI":"10.1145\/3406601.3406616"},{"key":"30_CR25","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-981-16-2712-5_20","volume-title":"Soft Computing for Problem Solving","author":"S Myakal","year":"2021","unstructured":"Myakal, S., Pal, R., Naveen, N.: Reversible data hiding technique using multi-layer perceptron based prediction and adaptive histogram bin shifting. In: Tiwari, A., Ahuja, K., Yadav, A., Bansal, J.C., Deep, K., Nagar, A.K. (eds.) Soft Computing for Problem Solving. AISC, vol. 1393, pp. 231\u2013243. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-16-2712-5_20"},{"key":"30_CR26","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/LSP.2021.3059202","volume":"28","author":"R Hu","year":"2021","unstructured":"Hu, R., Xiang, S.: CNN prediction based reversible data hiding. IEEE Signal Process. Lett. 28, 464\u2013468 (2021)","journal-title":"IEEE Signal Process. Lett."},{"issue":"12","key":"30_CR27","doi-asserted-by":"publisher","first-page":"10196","DOI":"10.1109\/TPAMI.2021.3131250","volume":"44","author":"R Hu","year":"2022","unstructured":"Hu, R., Xiang, S.: Reversible data hiding by using CNN prediction and adaptive embedding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 10196\u201310208 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR28","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1109\/LSP.2022.3231193","volume":"29","author":"X Yang","year":"2022","unstructured":"Yang, X., Huang, F.: New CNN-based predictor for reversible data hiding. IEEE Signal Process. Lett. 29, 2627\u20132631 (2022)","journal-title":"IEEE Signal Process. Lett."},{"key":"30_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yao, Y., Yu, N.: Convolutional neural network-driven optimal prediction for image reversible data hiding. In: Proceedings of the 23rd International Workshop on Multimedia Signal Processing (2021)","DOI":"10.1109\/MMSP53017.2021.9733444"},{"key":"30_CR30","doi-asserted-by":"crossref","unstructured":"Prabhakaran, A., Pal, R.: Image pixel prediction from neighborhood pixels using multilayer perceptron. In: Proceedings of the 7th International Conference on Soft Computing for Problem Solving, pp. 221\u2013230 (2017)","DOI":"10.1007\/978-981-13-1595-4_17"},{"key":"30_CR31","unstructured":"BOWS-2 data set: episode-3 of the $$2^{nd}$$ Break Our Watermarking System contest data set. http:\/\/bows2.ec-lille.fr\/BOWS2OrigEp3.tgz"}],"container-title":["Lecture Notes in Computer Science","Multi-disciplinary Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36402-0_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:42:04Z","timestamp":1729633324000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36402-0_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031364013","9783031364020"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36402-0_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"24 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIWAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multi-disciplinary Trends in Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hyberabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miwai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"245","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1 invited article","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}