{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T05:10:25Z","timestamp":1762060225007,"version":"build-2065373602"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"25","license":[{"start":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T00:00:00Z","timestamp":1657929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T00:00:00Z","timestamp":1657929600000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s11042-022-13344-7","type":"journal-article","created":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T13:03:26Z","timestamp":1657976606000},"page":"35953-35964","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Deep region segmentation-based intra prediction for depth video coding"],"prefix":"10.1007","volume":"81","author":[{"given":"Jing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghong","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8772-2107","authenticated-orcid":false,"given":"Zhe","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengchao","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peihan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,16]]},"reference":[{"issue":"12","key":"13344_CR1","doi-asserted-by":"publisher","first-page":"13835","DOI":"10.1007\/s11042-016-3766-7","volume":"76","author":"PA Assun\u00e7ao","year":"2017","unstructured":"Assun\u00e7ao PA, Marcelino S, Soares S, de Faria SM (2017) Spatial error concealment for intra-coded depth maps in Multiview video-plus-depth. Multimed Tools Appl 76(12):13835\u2013C13858","journal-title":"Multimed Tools Appl"},{"issue":"17","key":"13344_CR2","doi-asserted-by":"publisher","first-page":"11699","DOI":"10.1007\/s11042-019-08572-3","volume":"79","author":"R Birman","year":"2020","unstructured":"Birman R, Segal Y, Hadar O (2020) Overview of research in the field of video compression using deep neural networks. Multimed Tools Appl 79 (17):11699\u2013C11722","journal-title":"Multimed Tools Appl"},{"key":"13344_CR3","unstructured":"Bjontegard G (2001) Calculation of average PSNR differences between RD curves. In: Proceedings of the ITU-T Video Coding Experts Group (VCEG) Thirteens Meeting"},{"key":"13344_CR4","doi-asserted-by":"crossref","unstructured":"Chen Y, Lin J, Huang Y, Lei S (2015) Single depth intra coding mode in 3d-HEVC. IEEE International Symposium on Circuits and Systems (ISCAS) pp 1130\u20131133","DOI":"10.1109\/ISCAS.2015.7168837"},{"issue":"8","key":"13344_CR5","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1109\/TCYB.2019.2932005","volume":"50","author":"R Cong","year":"2020","unstructured":"Cong R, Lei J, Fu H, Hou J, Huang Q, Kwong S (2020) Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model. IEEE Trans Cybern 50(8):3627\u20133639","journal-title":"IEEE Trans Cybern"},{"issue":"2","key":"13344_CR6","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/TIP.2017.2763819","volume":"27","author":"R Cong","year":"2018","unstructured":"Cong R, Lei J, Fu H, Huang Q, Cao X, Hou C (2018) Co-saliency detection for RGBD images based on multi-constraint feature matching and cross label propagation. IEEE Trans Image Process 27(2):568\u2013579","journal-title":"IEEE Trans Image Process"},{"key":"13344_CR7","doi-asserted-by":"crossref","unstructured":"Cui W, Zhang T, Zhang S, Jiang F, Zuo W, Wan Z, Zhao D (2017) Convolutional neural networks based intra prediction for HEVC. Data Compression Conference (DCC) pp 436\u2013436","DOI":"10.1109\/DCC.2017.53"},{"key":"13344_CR8","doi-asserted-by":"crossref","unstructured":"Duan C, Shen Y, Zhang Y, Wang S, Zhu C, Yang M (2017) Enhancing wedgelet-based depth modeling in 3d-HEVC . Asia-pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur 2017 pp 516\u2013519","DOI":"10.1109\/APSIPA.2017.8282087"},{"key":"13344_CR9","doi-asserted-by":"crossref","unstructured":"Helle P, Pfaff J, Sch\u00e4fer M, Rischke R, Schwarz H, Marpe D, Wiegand T (2019) Intra picture prediction for video coding with neural networks. Data Compression Conference (DCC) pp 448\u2013457","DOI":"10.1109\/DCC.2019.00053"},{"key":"13344_CR10","doi-asserted-by":"crossref","unstructured":"Hu J, Peng W, Chung C (2018) Reinforcement learning for HEVC\/h.265 Intra-frame rate control. IEEE International Symposium on Circuits and Systems (ISCAS) pp 1\u20135","DOI":"10.1109\/ISCAS.2018.8351575"},{"issue":"12","key":"13344_CR11","doi-asserted-by":"publisher","first-page":"3024","DOI":"10.1109\/TMM.2019.2920603","volume":"21","author":"Y Hu","year":"2019","unstructured":"Hu Y, Yang W, Li M, Liu J (2019) Progressive spatial recurrent neural network for intra prediction. Trans Multimed 21(12):3024\u20133037","journal-title":"Trans Multimed"},{"key":"13344_CR12","doi-asserted-by":"crossref","unstructured":"Huang H, Schiopu I, Munteanu A (2019) Deep learning based angular intra-prediction for lossless HEVC video coding. Data Compression Conference (DCC) pp 579\u2013579","DOI":"10.1109\/DCC.2019.00091"},{"key":"13344_CR13","doi-asserted-by":"crossref","unstructured":"Huang H, Schiopu I, Munteanu A (2020) Frame-wise CNN-based filtering for intra-frame quality enhancement of HEVC videos. IEEE Transactions on Circuits and Systems for Video Technology:pp 1\u20131","DOI":"10.1109\/TCSVT.2019.2940092"},{"key":"13344_CR14","doi-asserted-by":"crossref","unstructured":"Huo S, Liu D, Wu F, Li H (2018) Convolutional neural network-based motion compensation refinement for video coding. IEEE International Symposium on Circuits and Systems (ISCAS) pp 1\u20134","DOI":"10.1109\/ISCAS.2018.8351609"},{"key":"13344_CR15","doi-asserted-by":"crossref","unstructured":"Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell T (2014) Caffe: Convolutional architecture for fast feature embedding. Proceedings of the 22nd ACM international conference on Multimedia (ACM MM) pp 675\u2013678.","DOI":"10.1145\/2647868.2654889"},{"issue":"7","key":"13344_CR16","first-page":"3343","volume":"28","author":"C Jia","year":"2019","unstructured":"Jia C, Wang S, Zhang X, Wang S, Liu J, Pu S, Ma S (2019) Content-aware convolutional neural network for in-loop filtering in high efficiency video coding. IEEE Transactions on Circuits and Systems for Video Technology 28(7):3343\u20133356","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"13344_CR17","doi-asserted-by":"publisher","unstructured":"Jin D, Lei J, Peng B, Li W, Ling N, Huang Q (2021) Deep affine motion compensation network for inter prediction in VVC. IEEE Transactions on Circuits and Systems for Video Technology. https:\/\/doi.org\/10.1109\/TCSVT.2021.3107135","DOI":"10.1109\/TCSVT.2021.3107135"},{"key":"13344_CR18","doi-asserted-by":"crossref","unstructured":"Ju R, Ge L, Geng W, Ren T, Wu G (2014) Depth saliency based on anisotropic center-surround difference. IEEE International Conference on Image Processing (ICIP) pp 1115\u20131119","DOI":"10.1109\/ICIP.2014.7025222"},{"issue":"2","key":"13344_CR19","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.image.2006.11.013","volume":"22","author":"P Kauff","year":"2007","unstructured":"Kauff P, Atzpadin N, Fehn C, Miller M, Schreer O, Smolic A, Tanger R (2007) Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability. Signal Process Image Commu 22(2):217\u2013234","journal-title":"Signal Process Image Commu"},{"issue":"12","key":"13344_CR20","doi-asserted-by":"publisher","first-page":"1792","DOI":"10.1109\/TCSVT.2012.2221525","volume":"22","author":"J Lainema","year":"2012","unstructured":"Lainema J, Bossen F, Han W, Min J, Ugur K (2012) Intra coding of the HEVC standard. IEEE Trans Circuits Syst Video Technol 22(12):1792\u20131801","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"8","key":"13344_CR21","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1109\/TCSVT.2017.2689032","volume":"28","author":"C Lan","year":"2018","unstructured":"Lan C, Xu J, Zeng W, Shi G, Wu F (2018) Variable block-sized signal-dependent transform for video coding. IEEE Trans Circuits Syst Video Technol 28(8):1920\u20131933","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"13344_CR22","doi-asserted-by":"crossref","unstructured":"Laude T, Haub F, Ostermann J (2019) HEVC Inter coding using deep recurrent neural networks and artificial reference pictures. Picture Coding Symposium (PCS) pp 1\u20135","DOI":"10.1109\/PCS48520.2019.8954497"},{"key":"13344_CR23","unstructured":"Lee J, Park M, Kim C (2015) 3D-CE1: depth intra skip (DIS) mode. ITUT SG 16 WP 3 and ISO\/IEC JTC 1\/SC 29\/WG 11, document JCT3v-k0033, Geneva, Switzerland"},{"issue":"7","key":"13344_CR24","doi-asserted-by":"publisher","first-page":"2686","DOI":"10.1109\/TCSVT.2020.3027616","volume":"30","author":"J Lei","year":"2020","unstructured":"Lei J, Li X, Peng B, Fang L, Ling N, Huang Q (2020) Deep spatial-spectral subspace clustering for hyperspectral image. IEEE Trans Circuits Syst Video Technol 30(7):2686\u20132697","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"13344_CR25","doi-asserted-by":"crossref","unstructured":"Lei J, Liu X, Zhang K, Li G, Ling N (2019) Convolutional neural network based up-sampling for depth video intra coding. IEEE Visual Communications and Image Processing (VCIP) pp 1\u20134","DOI":"10.1109\/VCIP47243.2019.8966027"},{"issue":"8","key":"13344_CR26","doi-asserted-by":"publisher","first-page":"5693","DOI":"10.1109\/TGRS.2020.2968802","volume":"58","author":"J Lei","year":"2020","unstructured":"Lei J, Luo X, Fang L, Wang M, Gu Y (2020) Region-enhanced convolutional neural network for object detection in remote sensing images. IEEE Trans Geosci Remote Sens 58(8):5693\u20135702","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"13344_CR27","doi-asserted-by":"crossref","unstructured":"Li Y, Li B, Liu D, Chen Z (2017) A convolutional neural network-based approach to rate control in HEVC intra coding. IEEE Visual Communications and Image Processing (VCIP) pp 1\u20134","DOI":"10.1109\/VCIP.2017.8305050"},{"issue":"9","key":"13344_CR28","doi-asserted-by":"publisher","first-page":"2316","DOI":"10.1109\/TCSVT.2017.2727682","volume":"28","author":"Y Li","year":"2018","unstructured":"Li Y, Liu D, Li H, Li L, Wu F, Zhang H, Yang H (2018) Convolutional neural network-based block up-sampling for intra frame coding. IEEE Trans Circuits Syst Video Technol 28(9):2316\u20132330","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"12","key":"13344_CR29","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 (2019) Convolutional neural network-based block up-sampling for HEVC. IEEE Trans Circuits Syst Video Technol 29 (12):3701\u20133715","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"13344_CR30","doi-asserted-by":"crossref","unstructured":"Lu X, Zhou B, Jin X, Martin G (2020) A rate control scheme for HEVC intra coding using convolution neural network (CNN). Data Compression Conference (DCC) pp 382\u2013382","DOI":"10.1109\/DCC47342.2020.00055"},{"issue":"11","key":"13344_CR31","doi-asserted-by":"publisher","first-page":"4055","DOI":"10.1109\/TIP.2015.2456509","volume":"24","author":"LFR Lucas","year":"2015","unstructured":"Lucas LFR, Wegner K, Rodrigues NMM, Pagliari CL, da Silva EAB, de Faria SMM (2015) Intra predictive depth map coding using flexible block partitioning. IEEE Trans Image Process 24(11):4055\u20134068","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"13344_CR32","first-page":"1901","volume":"30","author":"C Ma","year":"2020","unstructured":"Ma C, Liu D, Peng X, Li L, Wu F (2020) Convolutional neural network-based arithmetic coding for HEVC intra-predicted residues. IEEE Trans Circuits Syst Video Technol 30(7):1901\u20131916","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"13344_CR33","doi-asserted-by":"crossref","unstructured":"Merkle P, Bartnik C, Miller K, Marpe D, Wiegand T (2012) 3D video: depth coding based on inter-component prediction of block partitions. Picture Coding Symposium (PCS) pp 149\u2013152","DOI":"10.1109\/PCS.2012.6213308"},{"issue":"3","key":"13344_CR34","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1109\/TCSVT.2015.2407791","volume":"26","author":"P Merkle","year":"2016","unstructured":"Merkle P, Miller K, Marpe D, Wiegand T (2016) Depth intra coding for 3D video based on geometric primitives. IEEE Trans Circuits Syst Video Technol 26(3):570\u2013582","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"13344_CR35","doi-asserted-by":"crossref","unstructured":"Meyer M, Wiesner J, Schneider J, Rohlfing C (2019) convolutional neural networks for video intra prediction using cross-component adaptation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp 1607-1611","DOI":"10.1109\/ICASSP.2019.8682846"},{"key":"13344_CR36","unstructured":"Miller K, Merkle P, Tech G, Wiegand T (2012) 3D video coding with depth modeling modes and view synthesis optimization. In: Proceedings of the 2012 asia pacific signal and information processing association annual summit and conference, pp 1\u20134"},{"key":"13344_CR37","doi-asserted-by":"crossref","unstructured":"Pan Z, Yu W, Lei J, Ling N, Kwong S (2021) TSAN: Synthesized View quality enhancement via two-stream attention network for 3d-HEVC. IEEE Transactions on Circuits and Systems for Video Technology pp 1\u201314","DOI":"10.1109\/TCSVT.2021.3057518"},{"key":"13344_CR38","doi-asserted-by":"crossref","unstructured":"Peng B, Lei J, Fu H, Jia HY, Zhang Z, Li Y (2021) Deep video action clustering via spatio-temporal feature learning. Neurocomputing pp 1\u20139","DOI":"10.1016\/j.neucom.2020.05.123"},{"issue":"7","key":"13344_CR39","first-page":"1816","volume":"30","author":"I Schiopu","year":"2020","unstructured":"Schiopu I, Huang H, Munteanu A (2020) CNN-Based intra-prediction for lossless HEVC. IEEE Trans Circuits Syst Video Technol 30(7):1816\u20131828","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"6","key":"13344_CR40","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1109\/JSTSP.2013.2283657","volume":"7","author":"GJ Sullivan","year":"2013","unstructured":"Sullivan GJ, Boyce JM, Chen Y, Ohm J-R, Segall CA, Vetro A (2013) Standardized extensions of high efficiency video coding (HEVC). EEE J Sel Top Signal Process 7(6):1001\u20131016","journal-title":"EEE J Sel Top Signal Process"},{"key":"13344_CR41","doi-asserted-by":"crossref","unstructured":"Yokoyama R, Tahara M, Takeuchi M, Sun H, Matsuo Y, Katto J (2020) CNN Based optimal intra prediction mode estimation in video coding. IEEE International Conference on Consumer Electronics (ICCE) pp 1-2","DOI":"10.1109\/ICCE46568.2020.9043170"},{"issue":"11","key":"13344_CR42","doi-asserted-by":"publisher","first-page":"2425","DOI":"10.1109\/TCSVT.2016.2589819","volume":"27","author":"K Zhang","year":"2017","unstructured":"Zhang K, An J, Huang H, Lin J, Huang Y, Lei S (2017) Segmental prediction for video coding. IEEE Trans Circuits Syst Video Technol 27 (11):2425\u20132436","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"1","key":"13344_CR43","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s11554-016-0589-8","volume":"13","author":"Y Zhang","year":"2017","unstructured":"Zhang Y, Wang Y, Zhu C, Lin Y, Zheng J (2017) Optimization of depth modeling modes in 3d-HEVC depth intra coding. J Real-Time Image Proc 13(1):85\u2013100","journal-title":"J Real-Time Image Proc"},{"key":"13344_CR44","doi-asserted-by":"crossref","unstructured":"Zhang Y, Zhu C, Lin Y, Zheng J, Wang X (2015) Simplified reference pixel selection for constant partition value coding in 3d-HEVC. IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)","DOI":"10.1109\/ChinaSIP.2015.7230400"},{"key":"13344_CR45","doi-asserted-by":"crossref","unstructured":"Zhao Z, Wang S, Wang S, Zhang X, Ma S, Yang J (2018) CNN-Based bi-directional motion compensation for high efficiency video coding. IEEE International Symposium on Circuits and Systems (ISCAS)","DOI":"10.1109\/ISCAS.2018.8351189"},{"issue":"1","key":"13344_CR46","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/TMM.2019.2924591","volume":"22","author":"L Zhu","year":"2020","unstructured":"Zhu L, Kwong S, Zhang Y, Wang S, Wang X (2020) Generative adversarial network-based intra prediction for video coding. Trans Multimed 22 (1):45\u201358","journal-title":"Trans Multimed"},{"key":"13344_CR47","doi-asserted-by":"crossref","unstructured":"Zhu X, Li Y, Fu H, Fan X, Shi Y, Lei J (2020) RGB-D salient object detection via cross-modal joint feature extraction and low-bound fusion loss. Neurocomputing, pp 0925\u20132312","DOI":"10.1016\/j.neucom.2020.05.110"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13344-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-13344-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13344-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,24]],"date-time":"2022-09-24T04:23:37Z","timestamp":1663993417000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-13344-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,16]]},"references-count":47,"journal-issue":{"issue":"25","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["13344"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-13344-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2022,7,16]]},"assertion":[{"value":"30 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}