{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:40:35Z","timestamp":1761396035982},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s00530-021-00814-5","type":"journal-article","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T03:33:33Z","timestamp":1622086413000},"page":"581-587","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Special issue on deep learning for emerging big multimedia super-resolution"],"prefix":"10.1007","volume":"27","author":[{"given":"Valerio","family":"Bellandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdellah","family":"Chehri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore","family":"Cuomo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gwanggil","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,27]]},"reference":[{"key":"814_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00652-x","author":"H Ullah","year":"2020","unstructured":"Ullah, H., Islam, I.U., Ullah, M., et al.: Multi-feature-based crowd video modeling for visual event detection. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00652-x","journal-title":"Multimedia Syst"},{"key":"814_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00694-1","author":"C Bhatt","year":"2020","unstructured":"Bhatt, C., Kumar, I., Vijayakumar, V., et al.: The state of the art of deep learning models in medical science and their challenges. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00694-1","journal-title":"Multimedia Syst"},{"key":"814_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00705-1","author":"PW Kim","year":"2020","unstructured":"Kim, P.W.: Image super-resolution model using an improved deep learning-based facial expression analysis. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00705-1","journal-title":"Multimedia Syst"},{"key":"814_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00722-0","author":"F Zeng","year":"2021","unstructured":"Zeng, F., Li, X., Deng, X., et al.: An image classification model based on transfer learning for ulcerative proctitis. Multimedia Syst (2021). https:\/\/doi.org\/10.1007\/s00530-020-00722-0","journal-title":"Multimedia Syst"},{"key":"814_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00726-w","author":"B Olimov","year":"2021","unstructured":"Olimov, B., Sanjar, K., Din, S., et al.: FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers. Multimedia Syst (2021). https:\/\/doi.org\/10.1007\/s00530-020-00726-w","journal-title":"Multimedia Syst"},{"key":"814_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00665-6","author":"A Sukumar","year":"2020","unstructured":"Sukumar, A., Subramaniyaswamy, V., Ravi, L., et al.: Robust image steganography approach based on RIWT-Laplacian pyramid and histogram shifting using deep learning. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00665-6","journal-title":"Multimedia Syst"},{"key":"814_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00676-3","author":"FA Khan","year":"2020","unstructured":"Khan, F.A., Nawaz, M., Imran, M., et al.: Foreground detection using motion histogram threshold algorithm in high-resolution large datasets. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00676-3","journal-title":"Multimedia Syst"},{"key":"814_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00695-0","author":"M Yasir","year":"2020","unstructured":"Yasir, M., Rahman, A.U., Gohar, M.: Habitat mapping using deep neural networks. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00695-0","journal-title":"Multimedia Syst"},{"key":"814_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00711-3","author":"HY Ahmed","year":"2020","unstructured":"Ahmed, H.Y., Zeghid, M., Imtiaz, W.A., et al.: An efficient 2D encoding\/decoding technique for optical communication system based on permutation vectors theory. Multimedia Syst. (2020). https:\/\/doi.org\/10.1007\/s00530-020-00711-3","journal-title":"Multimedia Syst."},{"key":"814_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00725-x","author":"M Yimin","year":"2021","unstructured":"Yimin, M., Junhao, G., Mwakapesa, D.S., et al.: PFIMD: a parallel MapReduce-based algorithm for frequent itemset mining. Multimedia Syst (2021). https:\/\/doi.org\/10.1007\/s00530-020-00725-x","journal-title":"Multimedia Syst"},{"key":"814_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00714-0","author":"M Hu","year":"2020","unstructured":"Hu, M., He, M., Su, W., et al.: A TextCNN and WGAN-gp based deep learning frame for unpaired text style transfer in multimedia services. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00714-0","journal-title":"Multimedia Syst"},{"key":"814_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00680-7","author":"S Khattak","year":"2020","unstructured":"Khattak, S., Jan, S., Ahmad, I., et al.: An effective security assessment approach for Internet banking services via deep analysis of multimedia data. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00680-7","journal-title":"Multimedia Syst"},{"key":"814_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-021-00806-5","author":"F Jan","year":"2021","unstructured":"Jan, F., et al.: Pupil detection schemes in human eye: a review. Multimedia Syst (2021). https:\/\/doi.org\/10.1007\/s00530-021-00806-5","journal-title":"Multimedia Syst"},{"key":"814_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00655-8","author":"H Yoo","year":"2020","unstructured":"Yoo, H., Jun, K.: Deep corner prediction to rectify tilted license plate images. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00655-8","journal-title":"Multimedia Syst"},{"key":"814_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00687-0","author":"S Jabbar","year":"2020","unstructured":"Jabbar, S., Lloyd, H., Hammoudeh, M., et al.: Blockchain-enabled supply chain: analysis, challenges, and future directions. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00687-0","journal-title":"Multimedia Syst"},{"key":"814_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00707-z","author":"AO Khadidos","year":"2020","unstructured":"Khadidos, A.O., Khadidos, A.O., Khan, F.Q., et al.: Bayer image demosaicking and denoising based on specialized networks using deep learning. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00707-z","journal-title":"Multimedia Syst"},{"key":"814_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00712-2","author":"J Liu","year":"2020","unstructured":"Liu, J., Ge, J., Xue, Y., et al.: Multi-scale skip-connection network for image super-resolution. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00712-2","journal-title":"Multimedia Syst"},{"key":"814_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00715-z","author":"T Qu","year":"2020","unstructured":"Qu, T., Zhang, Y., Wu, J.: A novel AFNCS algorithm for super-resolution SAR in curve trajectory. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00715-z","journal-title":"Multimedia Syst"},{"key":"814_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00720-2","author":"Y Zou","year":"2020","unstructured":"Zou, Y., Yang, X., Albertini, M.K., et al.: LMSN:a lightweight multi-scale network for single image super-resolution. Multimedia Syst (2020). https:\/\/doi.org\/10.1007\/s00530-020-00720-2","journal-title":"Multimedia Syst"},{"key":"814_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00721-1","author":"Y Zhou","year":"2021","unstructured":"Zhou, Y., Lei, Y., Yang, S., et al.: A traffic flow estimation method based on unsupervised change detection. Multimedia Syst (2021). https:\/\/doi.org\/10.1007\/s00530-020-00721-1","journal-title":"Multimedia Syst"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-021-00814-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-021-00814-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-021-00814-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T02:16:09Z","timestamp":1627524969000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-021-00814-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["814"],"URL":"https:\/\/doi.org\/10.1007\/s00530-021-00814-5","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]},"assertion":[{"value":"11 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 May 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}