{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T17:20:48Z","timestamp":1782408048386,"version":"3.54.5"},"reference-count":21,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,2,11]],"date-time":"2019-02-11T00:00:00Z","timestamp":1549843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701297"],"award-info":[{"award-number":["61701297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JSPS KAKENHI","award":["17K00157"],"award-info":[{"award-number":["17K00157"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality compared with traditional H.265\/high efficiency video coding (HEVC). In this work, a novel H.265\/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly, both an effective and efficient spatiotemporal saliency model is used to generate a video saliency map. Secondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based quantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results demonstrate that the proposed perceptual coding scheme shows its superiority in objective and subjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective quality loss. The advantage of the proposed method is the high quality adapted for a high-definition video application.<\/jats:p>","DOI":"10.3390\/e21020165","type":"journal-article","created":{"date-parts":[[2019,2,12]],"date-time":"2019-02-12T03:18:20Z","timestamp":1549941500000},"page":"165","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2226-482X","authenticated-orcid":false,"given":"Xiantao","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Shanghai Maritime University, NO.1550, Haigang Ave. Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima 770-8501, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daqi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Shanghai Maritime University, NO.1550, Haigang Ave. Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takafumi","family":"Katayama","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima 770-8501, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima 770-8501, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1587\/transinf.E96.D.562","article-title":"Computational models of human visual attention and their implementations: A survey","volume":"E96-D","author":"Kimura","year":"2013","journal-title":"IEICE Trans. Inf. Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/JSTSP.2012.2215006","article-title":"Perceptual video compression: A survey","volume":"6","author":"Lee","year":"2012","journal-title":"IEEE J. Sel. Top. Signal Proc."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/TIP.2013.2282897","article-title":"Saliency-Aware video compression","volume":"23","author":"Hadizadeh","year":"2014","journal-title":"IEEE Trans. Image Proc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"22985","DOI":"10.1007\/s11042-017-5486-z","article-title":"Perceptual rate distortion optimization of 3D-HEVC using PSNR-HVS","volume":"77","author":"Valizadeh","year":"2018","journal-title":"Multimed. Tools Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1109\/TIP.2004.834657","article-title":"Automatic foveation for video compression using a neurobiological model of visual attention","volume":"13","author":"Itti","year":"2004","journal-title":"IEEE Trans. Image Proc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TIP.2009.2030969","article-title":"A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression","volume":"19","author":"Guo","year":"2010","journal-title":"IEEE Trans. Image Proc."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wei, H., Zhou, X., Zhou, W., Yan, C., Duan, Z., and Shan, N. (2016, January 22\u201325). Visual saliency based perceptual video coding in HEVC. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, Canada.","DOI":"10.1109\/ISCAS.2016.7539112"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1109\/JSTSP.2014.2314864","article-title":"Region-of-Interest based conversational HEVC coding with hierarchical perception model of face","volume":"8","author":"Xu","year":"2014","journal-title":"IEEE J. Sel. Top. Signal Proc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1109\/TCSVT.2014.2302557","article-title":"Complexity-aware adaptive preprocessing scheme for Region-of-Interest spatial scalable video coding","volume":"24","author":"Grois","year":"2014","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3343","DOI":"10.1109\/TIP.2016.2568459","article-title":"HEVC-based perceptually adaptive video coding using a DCT-based local distortion detection probability model","volume":"25","author":"Bae","year":"2016","journal-title":"IEEE Trans. Image Proc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1016\/j.jvcir.2010.11.002","article-title":"Efficient video coding based on audio-visual focus of attention","volume":"22","author":"Lee","year":"2011","journal-title":"J. Vis. Comm. Image Represent."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ferroukhi, M., Ouahabi, A., Attari, M., Yassine, H., and Abdelmalik, T.A. (2019). Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation. Electronics, 8.","DOI":"10.3390\/electronics8010088"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"33589","DOI":"10.1109\/ACCESS.2018.2843384","article-title":"Perceptually Adaptive Lagrangian Multiplier for HEVC Guided Rate-Distortion Optimization","volume":"6","author":"Rouis","year":"2018","journal-title":"IEEE Access."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.neucom.2017.08.054","article-title":"Spatiotemporal visual saliency guided perceptual high efficiency video coding with neural network","volume":"275","author":"Zhu","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3178","DOI":"10.1109\/TIP.2018.2818439","article-title":"Learning-based just-noticeable-quantization-distortion modeling for perceptual video coding","volume":"27","author":"Ki","year":"2018","journal-title":"IEEE Trans. Image Proc."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Jiang, B., Zhang, L., Lu, H., Yang, C., and Yang, M.H. (2013, January 1\u20138). Saliency detection via absorbing markov chain. Proceedings of the IEEE International Conference on Computer Vision (CVPR), Sydney, NSW, Australia.","DOI":"10.1109\/ICCV.2013.209"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11263-010-0390-2","article-title":"A database and evaluation methodology for optical flow","volume":"92","author":"Baker","year":"2011","journal-title":"Int. J. Comput. Vis."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s12559-010-9094-8","article-title":"A spatiotemporal saliency model for video surveillance","volume":"3","author":"Tong","year":"2011","journal-title":"Cogn. Comput."},{"key":"ref_19","unstructured":"Rosewarne, C. (2019, February 11). High Efficiency Video Coding (HEVC) Test Model 16 (HM 16); Document JCTVC-V1002, JCT-VC. October 2015. Available online: http:\/\/phenix.int-evry.fr\/jct\/."},{"key":"ref_20","unstructured":"Bjontegaard, G. (2019, February 11). Calculation of Average PSNR Differences between RD-Curves, ITU-T SG16 Q.6, VCEG-M33, JVT. April 2001. Available online: https:\/\/www.itu.int\/wftp3\/av-arch\/video-site\/0104_Aus\/."},{"key":"ref_21","unstructured":"(2019, February 11). Recommendation ITU-R BT.500-13, Methodology for the Subjective Assessment of the Quality of Television Pictures, ITU-R, Telecommunication Standardization Bureau. Available online: https:\/\/www.itu.int\/dms_pubrec\/itu-r\/rec\/bt\/r-rec-bt.500-13-201201-i!!pdf-e.pdf."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/2\/165\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:31:03Z","timestamp":1760185863000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/21\/2\/165"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,11]]},"references-count":21,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["e21020165"],"URL":"https:\/\/doi.org\/10.3390\/e21020165","relation":{},"ISSN":["1099-4300"],"issn-type":[{"value":"1099-4300","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,11]]}}}