{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T19:07:56Z","timestamp":1769022476399,"version":"3.49.0"},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901205"],"award-info":[{"award-number":["61901205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001302"],"award-info":[{"award-number":["62001302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076228"],"award-info":[{"award-number":["62076228"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["2023-MS-139"],"award-info":[{"award-number":["2023-MS-139"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515111205"],"award-info":[{"award-number":["2019A1515111205"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Communication and Image Representation"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1016\/j.jvcir.2023.103885","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T20:46:46Z","timestamp":1688158006000},"page":"103885","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["A no-reference panoramic image quality assessment with hierarchical perception and color features"],"prefix":"10.1016","volume":"95","author":[{"given":"Yun","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1957-8219","authenticated-orcid":false,"given":"Xiaohua","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghui","family":"Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.jvcir.2023.103885_b1","series-title":"VR photography","year":"2020"},{"key":"10.1016\/j.jvcir.2023.103885_b2","doi-asserted-by":"crossref","unstructured":"Y. Kusuno, J. Takahashi, Y. Yu, A Method Localizing an Omnidirectional Image in Pre-Constructed 3D Wireframe Map, in: 2019 IEEE\/SICE International Symposium on System Integration, 2019.","DOI":"10.1109\/SII.2019.8700393"},{"key":"10.1016\/j.jvcir.2023.103885_b3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2021.3118090","article-title":"Blind omnidirectional image quality assessment based on structure and natural features","volume":"70","author":"Liu","year":"2021","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2023.103885_b4","series-title":"Full reference screen content image quality assessment by fusing multi-level structure similarity","author":"Chen","year":"2020"},{"issue":"99","key":"10.1016\/j.jvcir.2023.103885_b5","first-page":"1","article-title":"Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks","author":"Xu","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2023.103885_b6","doi-asserted-by":"crossref","unstructured":"N. Lasmar, Y. Stitou, Y. Berthoumieu, Multiscale skewed heavy tailed model for texture analysis, in: IEEE International Conference on Image Processing, 2010.","DOI":"10.1109\/ICIP.2009.5414404"},{"issue":"99","key":"10.1016\/j.jvcir.2023.103885_b7","first-page":"1","article-title":"High-definition video compression system based on perception guidance of salient information of a convolutional neural network and HEVC compression domain","author":"Zhu","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2023.103885_b8","unstructured":"M. Riesenhuber, T. Poggio, Hierarchical models of object recognition in cortex, Nature Neurosci.."},{"issue":"5","key":"10.1016\/j.jvcir.2023.103885_b9","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/S0896-6273(02)01091-7","article-title":"View from the top: Hierarchies and reverse hierarchies in the visual system.","volume":"36","author":"Hochstein","year":"2002","journal-title":"Neuron"},{"issue":"4","key":"10.1016\/j.jvcir.2023.103885_b10","article-title":"A theory for multiresolution signal decomposition: The wavelet representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.jvcir.2023.103885_b11","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1109\/TIM.2017.2658098","article-title":"Multiple visual features measurement with gradient domain guided filtering for multisensor image fusion","volume":"66","author":"Yang","year":"2017","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"6","key":"10.1016\/j.jvcir.2023.103885_b12","first-page":"610","article-title":"Textural features for image classification","volume":"SMC-3","author":"Haralick","year":"1973","journal-title":"Stud. Media Commun."},{"issue":"6","key":"10.1016\/j.jvcir.2023.103885_b13","doi-asserted-by":"crossref","first-page":"3855","DOI":"10.1109\/TIM.2019.2933341","article-title":"Multimodal medical image fusion using hybrid layer decomposition with CNN-based feature mapping and structural clustering","volume":"69","author":"Singh","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2023.103885_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.image.2020.115963","article-title":"On the use of a scanpath predictor and convolutional neural network for blind image quality assessment","volume":"89","author":"Chetouani","year":"2020","journal-title":"Signal Process., Image Commun."},{"issue":"11","key":"10.1016\/j.jvcir.2023.103885_b15","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","article-title":"SLIC superpixels compared to state-of-the-art superpixel methods","volume":"34","author":"Achanta","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"99","key":"10.1016\/j.jvcir.2023.103885_b16","first-page":"1","article-title":"Objective assessment of perceived geometric distortions in viewport rendering of 360\u00b0images","author":"Jabar","year":"2019","journal-title":"IEEE J. Sel. Top. Sign. Proces."},{"issue":"2","key":"10.1016\/j.jvcir.2023.103885_b17","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TIP.2017.2766780","article-title":"Blind stereoscopic video quality assessment: From depth perception to overall experience","author":"Chen","year":"2017","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b18","doi-asserted-by":"crossref","first-page":"46706","DOI":"10.1109\/ACCESS.2019.2909073","article-title":"No-reference stereoscopic image quality assessment based on visual attention and perception","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"issue":"11","key":"10.1016\/j.jvcir.2023.103885_b19","doi-asserted-by":"crossref","first-page":"1918","DOI":"10.1109\/TIP.2005.854492","article-title":"No-reference quality assessment using natural scene statistics: JPEG2000","volume":"14","author":"Sheikh","year":"2005","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.jvcir.2023.103885_b20","doi-asserted-by":"crossref","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","article-title":"No-reference image quality assessment in the spatial domain","volume":"21","author":"Mittal","year":"2012","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"issue":"3","key":"10.1016\/j.jvcir.2023.103885_b21","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","article-title":"Making a \u2019completely blind\u2019 image quality analyzer","volume":"20","author":"Mittal","year":"2013","journal-title":"IEEE Signal Process. Lett."},{"issue":"3","key":"10.1016\/j.jvcir.2023.103885_b22","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s11760-010-0200-x","article-title":"Image quality assessment based on S-CIELAB model","volume":"5","author":"He","year":"2011","journal-title":"Signal Image Video Process."},{"key":"10.1016\/j.jvcir.2023.103885_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.image.2021.116392","article-title":"Multiple channels local binary pattern for color texture representation and classification","author":"Shu","year":"2021","journal-title":"Signal Process., Image Commun."},{"issue":"1","key":"10.1016\/j.jvcir.2023.103885_b24","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/TIM.2008.2004982","article-title":"A vector approach for image quality assessment and some metrological considerations","volume":"58","author":"De Angelis","year":"2009","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2023.103885_b25","series-title":"Image quality assessment in the modern age","author":"Ma","year":"2021"},{"issue":"11","key":"10.1016\/j.jvcir.2023.103885_b26","doi-asserted-by":"crossref","first-page":"3440","DOI":"10.1109\/TIP.2006.881959","article-title":"A statistical evaluation of recent full reference image quality assessment algorithms","volume":"15","author":"Sheikh","year":"2006","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"10.1016\/j.jvcir.2023.103885_b27","doi-asserted-by":"crossref","DOI":"10.1145\/3447393","article-title":"Full-reference screen content image quality assessment by fusing multilevel structure similarity","volume":"17","author":"Chen","year":"2021","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"3","key":"10.1016\/j.jvcir.2023.103885_b28","doi-asserted-by":"crossref","DOI":"10.1145\/3414837","article-title":"Blind image quality assessment by natural scene statistics and perceptual characteristics","volume":"16","author":"Liu","year":"2020","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"8","key":"10.1016\/j.jvcir.2023.103885_b29","doi-asserted-by":"crossref","first-page":"2733","DOI":"10.1109\/TIM.2018.2868555","article-title":"Effective and efficient blind quality evaluator for contrast distorted images","volume":"68","author":"Yue","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2023.103885_b30","doi-asserted-by":"crossref","unstructured":"M. Yu, H. Lakshman, B. Girod, A Framework to Evaluate Omnidirectional Video Coding Schemes, in: IEEE International Symposium on Mixed & Augmented Reality, 2015.","DOI":"10.1109\/ISMAR.2015.12"},{"key":"10.1016\/j.jvcir.2023.103885_b31","series-title":"Image quality assessment: From error visibility to structural similarity","author":"Wang","year":"2014"},{"issue":"2","key":"10.1016\/j.jvcir.2023.103885_b32","first-page":"430","article-title":"Image information and visual quality","volume":"15","author":"Bovik","year":"2006","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"issue":"10","key":"10.1016\/j.jvcir.2023.103885_b33","doi-asserted-by":"crossref","first-page":"4270","DOI":"10.1109\/TIP.2014.2346028","article-title":"VSI: A visual saliency-induced index for perceptual image quality assessment","volume":"23","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b34","article-title":"Gradient magnitude similarity deviation: A highly efficient perceptual image quality index.","author":"Wufeng","year":"2014","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"issue":"8","key":"10.1016\/j.jvcir.2023.103885_b35","doi-asserted-by":"crossref","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","article-title":"FSIM: A feature similarity index for image quality assessment","volume":"20","author":"Zhang","year":"2011","journal-title":"IEEE Trans. Image Process."},{"issue":"99","key":"10.1016\/j.jvcir.2023.103885_b36","first-page":"1","article-title":"Perceptual quality assessment of omnidirectional images as moving camera videos","author":"Sui","year":"2021","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"10.1016\/j.jvcir.2023.103885_b37","series-title":"SPIE Optical Engineering + Applications","article-title":"Quality metric for spherical panoramic video","author":"Zakharchenko","year":"2016"},{"key":"10.1016\/j.jvcir.2023.103885_b38","doi-asserted-by":"crossref","unstructured":"Y. Zhou, M. Yu, H. Ma, H. Shao, G. Jiang, Weighted-to-Spherically-Uniform SSIM Objective Quality Evaluation for Panoramic Video, in: 2018 14th IEEE International Conference on Signal Processing, ICSP, 2018.","DOI":"10.1109\/ICSP.2018.8652269"},{"key":"10.1016\/j.jvcir.2023.103885_b39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ACCESS.2020.2990298","article-title":"Segmented spherical projection based blind omnidirectional image quality assessment","volume":"8","author":"Zheng","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.jvcir.2023.103885_b40","doi-asserted-by":"crossref","unstructured":"W. Sun, W. Luo, X. Min, G. Zhai, S. Ma, MC360IQA: The Multi-Channel CNN for Blind 360-Degree Image Quality Assessment, in: 2019 IEEE International Symposium on Circuits and Systems, ISCAS, 2019.","DOI":"10.1109\/ISCAS.2019.8702664"},{"key":"10.1016\/j.jvcir.2023.103885_b41","article-title":"Cubemap-based perception-driven blind quality assessment for 360-degree images","author":"Jiang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b42","article-title":"Towards a no-reference omnidirectional image quality evaluation by using multi-perceptual features","author":"Liu","year":"2022","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"5","key":"10.1016\/j.jvcir.2023.103885_b43","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1109\/TIP.2014.2307434","article-title":"Saliency tree: A novel saliency detection framework","volume":"23","author":"Liu","year":"2014","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.jvcir.2023.103885_b44","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1109\/TMM.2016.2592325","article-title":"A universal framework for salient object detection","volume":"18","author":"Lei","year":"2016","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.jvcir.2023.103885_b45","doi-asserted-by":"crossref","unstructured":"J. Zhang, S. Sclaroff, Saliency Detection: A Boolean Map Approach, in: 2013 IEEE International Conference on Computer Vision, 2013.","DOI":"10.1109\/ICCV.2013.26"},{"issue":"12","key":"10.1016\/j.jvcir.2023.103885_b46","doi-asserted-by":"crossref","first-page":"2117","DOI":"10.1109\/TIP.2005.859389","article-title":"An information fidelity criterion for image quality assessment using natural scene statistics","volume":"14","author":"Sheikh","year":"2006","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b47","article-title":"The statistics of natural images","author":"Ruderman","year":"2009","journal-title":"Netw., Comput. Neural Syst."},{"key":"10.1016\/j.jvcir.2023.103885_b48","series-title":"Relations between the statistical regularities of natural images and the response properties of the early visual system","author":"Doi","year":"2005"},{"key":"10.1016\/j.jvcir.2023.103885_b49","series-title":"Wavelet Applications in Signal & Image Processing VIII","article-title":"Random cascades on wavelet trees and their use in analyzing and modeling natural images","author":"Wainwright","year":"2000"},{"key":"10.1016\/j.jvcir.2023.103885_b50","series-title":"Statistical Models for Images: Compression, Restoration and Synthesis","author":"Simoncelli","year":"1999"},{"issue":"12","key":"10.1016\/j.jvcir.2023.103885_b51","doi-asserted-by":"crossref","first-page":"1688","DOI":"10.1109\/83.806616","article-title":"Image compression via joint statistical characterization in the wavelet domain","volume":"8","author":"Buccigrossi","year":"1999","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.jvcir.2023.103885_b52","doi-asserted-by":"crossref","first-page":"3350","DOI":"10.1109\/TIP.2011.2147325","article-title":"Blind image quality assessment: From natural scene statistics to perceptual quality","volume":"20","author":"Moorthy","year":"2011","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b53","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1109\/TMM.2020.2991528","article-title":"Blind quality assessment for tone-mapped images by analysis of gradient and chromatic statistics","volume":"23","author":"Fang","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.jvcir.2023.103885_b54","series-title":"2018 IEEE 20th International Workshop on Multimedia Signal Processing","article-title":"A large-scale compressed 360-degree spherical image database: From subjective quality evaluation to objective model comparison","author":"Sun","year":"2018"},{"key":"10.1016\/j.jvcir.2023.103885_b55","doi-asserted-by":"crossref","unstructured":"H. Duan, G. Zhai, X. Min, Y. Zhu, X. Yang, Perceptual Quality Assessment of Omnidirectional Images, in: 2018 IEEE International Symposium on Circuits and Systems, ISCAS, 2018.","DOI":"10.1109\/ISCAS.2018.8351786"},{"key":"10.1016\/j.jvcir.2023.103885_b56","first-page":"1408","article-title":"Weighted-to-spherically-uniform quality evaluation for omnidirectional video","author":"Sun","year":"2017","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.jvcir.2023.103885_b57","first-page":"1","article-title":"Blind image quality estimation via distortion aggravation","author":"Min","year":"2018","journal-title":"IEEE Trans. Broadcast."},{"key":"10.1016\/j.jvcir.2023.103885_b58","first-page":"1","article-title":"Blind image quality assessment using a deep bilinear convolutional neural network","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"3","key":"10.1016\/j.jvcir.2023.103885_b59","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1109\/TIP.2017.2774045","article-title":"End-to-end blind image quality assessment using deep neural networks","volume":"27","author":"Ma","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.jvcir.2023.103885_b60","doi-asserted-by":"crossref","unstructured":"S. Ling, G. Cheung, P. Callet, No-Reference Quality Assessment for Stitched Panoramic Images Using Convolutional Sparse Coding and Compound Feature Selection, in: 2018 IEEE International Conference on Multimedia and Expo, ICME, 2018.","DOI":"10.1109\/ICME.2018.8486545"},{"key":"10.1016\/j.jvcir.2023.103885_b61","series-title":"2019 IEEE Visual Communications and Image Processing","article-title":"Blind panoramic image quality assessment via the asymmetric mechanism of human brain","author":"Xia","year":"2019"},{"issue":"4","key":"10.1016\/j.jvcir.2023.103885_b62","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1109\/TCSVT.2021.3081162","article-title":"Omnidirectional image quality assessment by distortion discrimination assisted multi-stream network","volume":"32","author":"Zhou","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2023.103885_b63","doi-asserted-by":"crossref","unstructured":"L. Yang, M. Xu, X. Deng, B. Feng, Spatial Attention-Based Non-Reference Perceptual Quality Prediction Network for Omnidirectional Images, in: 2021 IEEE International Conference on Multimedia and Expo, ICME, 2021, pp. 1\u20136.","DOI":"10.1109\/ICME51207.2021.9428390"}],"container-title":["Journal of Visual Communication and Image Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320323001359?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320323001359?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T02:55:58Z","timestamp":1760928958000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047320323001359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":63,"alternative-id":["S1047320323001359"],"URL":"https:\/\/doi.org\/10.1016\/j.jvcir.2023.103885","relation":{},"ISSN":["1047-3203"],"issn-type":[{"value":"1047-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2023,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A no-reference panoramic image quality assessment with hierarchical perception and color features","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Communication and Image Representation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvcir.2023.103885","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"103885"}}