{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:23:19Z","timestamp":1743060199061,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031431470"},{"type":"electronic","value":"9783031431487"}],"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\/978-3-031-43148-7_11","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T20:48:35Z","timestamp":1693860515000},"page":"124-134","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Effective CNN-Based Super Resolution Method for Video Coding"],"prefix":"10.1007","author":[{"given":"Jun","family":"Yin","sequence":"first","affiliation":[]},{"given":"Shuang","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Jucai","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"issue":"9","key":"11_CR1","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.1109\/TIP.2003.816023","volume":"12","author":"AM Bruckstein","year":"2003","unstructured":"Bruckstein, A.M., Elad, M., Kimmel, R.: Down-scaling for better transform compression. IEEE Trans. Image Process. 12(9), 1132\u20131144 (2003)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR2","unstructured":"Bross, B., Chen, J., Liu, S., Wang, Y.: Versatile video coding (draft10). In: 19th JVET Meeting, JVET-S2001, JVET Document, Teleconference (2020)"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Wei, Y., Chen, L., Song, L.: Video compression based on jointly learned down-sampling and super-resolution networks. In: 2021 International Conference on Visual Communications and Image Processing, pp. 1\u20135 (2021)","DOI":"10.1109\/VCIP53242.2021.9675356"},{"issue":"12","key":"11_CR4","doi-asserted-by":"publisher","first-page":"3701","DOI":"10.1109\/TCSVT.2018.2884203","volume":"29","author":"J Lin","year":"2019","unstructured":"Lin, J., Liu, D., Yang, H., Li, H., Wu, F.: Convolutional neural network-based block up-sampling for HEVC. IEEE Trans. Circuits Syst. Video Technol. 29(12), 3701\u20133715 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Liu, K., Liu, D., Li, H., Wu, F.: Convolutional neural network-based residue super-resolution for video coding. In: 2018 IEEE Visual Communications and Image Processing, pp. 1\u20134 (2018)","DOI":"10.1109\/VCIP.2018.8698696"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Lin, C., Li, Y., Zhang, K., Zhang, Z., Zhang, L.: CNN-based super resolution for video coding using decoded information. In: 2021 International Conference on Visual Communications and Image Processing, pp. 1\u20135 (2021)","DOI":"10.1109\/VCIP53242.2021.9675417"},{"key":"11_CR7","unstructured":"Lin, C., Li, Y., Zhang, K., Zhang, L.: EE1\u20132.2: CNN-based super resolution for video coding using decoded information. In: 24th JVET Meeting, JVET-X0064, JVET Document, Teleconference (2021)"},{"key":"11_CR8","unstructured":"Peng, S., Dong, J., Lin, J., Fang, C., Zhang, X.: AHG11: An improved cNN-based super resolution method. In: 25th JVET Meeting, JVET-Y0087, JVET Document, Teleconference (2022)"},{"key":"11_CR9","unstructured":"Kotra, A.M., Reuz\u00e9, K., Chen, J., Wang, H., Karczewicz, M., Li, J.: EE1\u20132.3: neural network-based super resolution. In: 23th JVET Meeting, JVET-W0105, JVET Document, Teleconference (2021)"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Lim, B., Son, S., Kim, H., Nah, S., Lee, K.M.: Enhanced deep residual networks for single image super-resolution. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1132\u20131140 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"11_CR12","unstructured":"Ma, D., Zhang, F., Bull, D.: BVI-DVC: a training database for deep video compression. arXiv preprint arXiv:2003.13552 (2020)"},{"key":"11_CR13","unstructured":"Available: https:\/\/vcgit.hhi.fraunhofer.de\/jvet\/VVCSoftware_VTM\/-\/tags\/VTM-11.0-NNVC"},{"key":"11_CR14","unstructured":"Paszke, A., et al: PyTorch: An Imperative Style, High-Performance Deep Learning Library. arXiv preprint arXiv:1912.01703 (2019)"},{"key":"11_CR15","unstructured":"Available: https:\/\/download.pytorch.org\/libtorch\/cpu\/libtorch-cxx11-abi-shared-with-deps-1.13.0%2Bcpu.zip"},{"key":"11_CR16","unstructured":"Liu, A., Segall, A., Alshina, E., Liao, R.: JVET common test conditions and evaluation procedures for neural network-based video coding technology. In: 24th JVET meeting, JVET-X2016, JVET document, Teleconference (2021)"},{"key":"11_CR17","unstructured":"Bjontegaard, G.: Calcuation of average PSNR differences between rdcurves. In: 13th VCEG Meeting, VCEG-M33, VCEG Document, Austin (2001)"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43148-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:35:34Z","timestamp":1710261334000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43148-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031431470","9783031431487"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43148-7_11","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":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","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":"85","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":"7","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":"59% - 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":"3","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":"3","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":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","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)"}}]}}