{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T16:26:54Z","timestamp":1780072014722,"version":"3.54.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T00:00:00Z","timestamp":1753488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T00:00:00Z","timestamp":1753488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Natural Science Foundation of the Higher Education Institutions of Jiangsu Province","award":["22KJD510004"],"award-info":[{"award-number":["22KJD510004"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]},{"name":"Changzhou Applied Basic Research Program","award":["CJ20235057"],"award-info":[{"award-number":["CJ20235057"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s00530-025-01887-2","type":"journal-article","created":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T06:56:20Z","timestamp":1753512980000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Mpv-pcqa: multimodal no-reference point cloud quality assessment via point cloud and captured dynamic video"],"prefix":"10.1007","volume":"31","author":[{"given":"Zhengkai","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weige","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingjiao","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yizhuang","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenli","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"issue":"2","key":"1887_CR1","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1109\/TCE.2022.3218107","volume":"69","author":"R Zheng","year":"2022","unstructured":"Zheng, R., Huang, K., Shen, H., Ma, L.: Continuous volumetric convolution network with self-learning kernels for point clouds. IEEE Trans. Consum. Electron. 69(2), 148\u2013155 (2022). https:\/\/doi.org\/10.1109\/TCE.2022.3218107","journal-title":"IEEE Trans. Consum. Electron."},{"key":"1887_CR2","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-021-00658-8","author":"J Xiong","year":"2021","unstructured":"Xiong, J., Hsiang, E.-L., He, Z., Zhan, T., Wu, S.-T.: Augmented reality and virtual reality displays: emerging technologies and future perspectives. Light Sci. Appl. (2021). https:\/\/doi.org\/10.1038\/s41377-021-00658-8","journal-title":"Light Sci. Appl."},{"key":"1887_CR3","doi-asserted-by":"publisher","unstructured":"Placitelli, A.P., Gallo, L.: Low-cost augmented reality systems via 3d point cloud sensors. In: 2011 Seventh International Conference on Signal Image Technology and Internet-Based Systems, pp. 188\u2013192 (2011). https:\/\/doi.org\/10.1109\/SITIS.2011.43","DOI":"10.1109\/SITIS.2011.43"},{"issue":"2","key":"1887_CR4","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1109\/TITS.2020.3023541","volume":"23","author":"Y Cui","year":"2021","unstructured":"Cui, Y., Chen, R., Chu, W., Chen, L., Tian, D., Li, Y., Cao, D.: Deep learning for image and point cloud fusion in autonomous driving: a review. IEEE Trans. Intell. Transp. Syst. 23(2), 722\u2013739 (2021). https:\/\/doi.org\/10.1109\/TITS.2020.3023541","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"1887_CR5","doi-asserted-by":"publisher","unstructured":"Perez-Gonzalez, J., Azamar, C., Pi\u00f1a-Ramirez, O.: Automatic classification of Alzheimer\u2019s disease based on cpd brain point cloud registration for feature extraction. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 812\u2013815 (2019). https:\/\/doi.org\/10.1109\/EMBC.2019.8856372","DOI":"10.1109\/EMBC.2019.8856372"},{"issue":"1","key":"1887_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1109\/JETCAS.2018.2885981","volume":"9","author":"S Schwarz","year":"2018","unstructured":"Schwarz, S., Preda, M., Baroncini, V., Budagavi, M., Cesar, P., Chou, P.A., Cohen, R.A., Krivoku\u0107a, M., Lasserre, S., Li, Z., et al.: Emerging mpeg standards for point cloud compression. IEEE J. Emerg. Sel. Top. Circuits Syst. 9(1), 133\u2013148 (2018). https:\/\/doi.org\/10.1109\/JETCAS.2018.2885981","journal-title":"IEEE J. Emerg. Sel. Top. Circuits Syst."},{"key":"1887_CR7","doi-asserted-by":"publisher","unstructured":"Zhang, J., Huang, W., Zhu, X., Hwang, J.-N.: A subjective quality evaluation for 3d point cloud models. In: 2014 International Conference on Audio, Language and Image Processing, pp. 827\u2013831 (2014). https:\/\/doi.org\/10.1109\/ICALIP.2014.7009910","DOI":"10.1109\/ICALIP.2014.7009910"},{"key":"1887_CR8","doi-asserted-by":"publisher","unstructured":"Dumic, E., Duarte, C.R., Silva\u00a0Cruz, L.A.: Subjective evaluation and objective measures for point clouds\u2014state of the art. In: 2018 First International Colloquium on Smart Grid Metrology (SmaGriMet), pp. 1\u20135 (2018). https:\/\/doi.org\/10.23919\/SMAGRIMET.2018.8369848","DOI":"10.23919\/SMAGRIMET.2018.8369848"},{"key":"1887_CR9","doi-asserted-by":"publisher","unstructured":"Meynet, G., Nehm\u00e9, Y., Digne, J., Lavou\u00e9, G.: Pcqm: a full-reference quality metric for colored 3d point clouds. In: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), pp. 1\u20136 (2020). https:\/\/doi.org\/10.1109\/QoMEX48832.2020.9123147","DOI":"10.1109\/QoMEX48832.2020.9123147"},{"key":"1887_CR10","doi-asserted-by":"publisher","first-page":"1660","DOI":"10.1109\/LSP.2020.3024065","volume":"27","author":"I Viola","year":"2020","unstructured":"Viola, I., Cesar, P.: A reduced reference metric for visual quality evaluation of point cloud contents. IEEE Signal Process. Lett. 27, 1660\u20131664 (2020). https:\/\/doi.org\/10.1109\/LSP.2020.3024065","journal-title":"IEEE Signal Process. Lett."},{"key":"1887_CR11","doi-asserted-by":"publisher","unstructured":"Lian, Y., Wen, C., Wang, C., Li, J.: Non-reference quality evaluation for indoor 3d point clouds. In: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 8968\u20138971 (2019). https:\/\/doi.org\/10.1109\/IGARSS.2019.8900634","DOI":"10.1109\/IGARSS.2019.8900634"},{"issue":"11","key":"1887_CR12","doi-asserted-by":"publisher","first-page":"7618","DOI":"10.1109\/TCSVT.2022.3186894","volume":"32","author":"Z Zhang","year":"2022","unstructured":"Zhang, Z., Sun, W., Min, X., Wang, T., Lu, W., Zhai, G.: No-reference quality assessment for 3d colored point cloud and mesh models. IEEE Trans. Circuits Syst. Video Technol. 32(11), 7618\u20137631 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2022.3186894","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"12","key":"1887_CR13","doi-asserted-by":"publisher","first-page":"4645","DOI":"10.1109\/TCSVT.2021.3100282","volume":"31","author":"Q Liu","year":"2021","unstructured":"Liu, Q., Yuan, H., Su, H., Liu, H., Wang, Y., Yang, H., Hou, J.: Pqa-net: deep no reference point cloud quality assessment via multi-view projection. IEEE Trans. Circuits Syst. Video Technol. 31(12), 4645\u20134660 (2021). https:\/\/doi.org\/10.1109\/TCSVT.2021.3100282","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1887_CR14","doi-asserted-by":"publisher","unstructured":"Fan, Y., Zhang, Z., Sun, W., Min, X., Liu, N., Zhou, Q., He, J., Wang, Q., Zhai, G.: A no-reference quality assessment metric for point cloud based on captured video sequences. In: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), pp. 1\u20135 (2022). https:\/\/doi.org\/10.1109\/MMSP55362.2022.9949359","DOI":"10.1109\/MMSP55362.2022.9949359"},{"key":"1887_CR15","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Sun, W., Min, X., Zhou, Q., He, J., Wang, Q., Zhai, G.: Mm-pcqa: multi-modal learning for no-reference point cloud quality assessment. (2022). arXiv preprint arXiv:2209.00244. https:\/\/doi.org\/10.48550\/arXiv.2209.00244","DOI":"10.48550\/arXiv.2209.00244"},{"key":"1887_CR16","doi-asserted-by":"publisher","unstructured":"Liu, Y., Shan, Z., Zhang, Y., Xu, Y.: Mft-pcqa: multi-modal fusion transformer for no-reference point cloud quality assessment. In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7965\u20137969 (2024). https:\/\/doi.org\/10.1109\/ICASSP48485.2024.10445736","DOI":"10.1109\/ICASSP48485.2024.10445736"},{"key":"1887_CR17","doi-asserted-by":"publisher","unstructured":"Qi, C.R., Su, H., Mo, K., Guibas, L.J.: Pointnet: deep learning on point sets for 3d classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 652\u2013660 (2017). https:\/\/doi.org\/10.48550\/arXiv.1612.00593","DOI":"10.48550\/arXiv.1612.00593"},{"key":"1887_CR18","doi-asserted-by":"publisher","unstructured":"Qi, C.R., Yi, L., Su, H., Guibas, L.J.: Pointnet++: deep hierarchical feature learning on point sets in a metric space. In: Advances in Neural Information Processing Systems, vol. 30 (2017). https:\/\/doi.org\/10.48550\/arXiv.1706.02413","DOI":"10.48550\/arXiv.1706.02413"},{"key":"1887_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3282802","author":"Z Shan","year":"2023","unstructured":"Shan, Z., Yang, Q., Ye, R., Zhang, Y., Xu, Y., Xu, X., Liu, S.: Gpa-net: no-reference point cloud quality assessment with multi-task graph convolutional network. IEEE Trans. Vis. Comput. Graph. (2023). https:\/\/doi.org\/10.1109\/TVCG.2023.3282802","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"1887_CR20","doi-asserted-by":"publisher","unstructured":"Xiong, J., Wu, S., Luo, W., Suo, J., Gao, H.: $$\\psi$$-net: point structural information network for no-reference point cloud quality assessment. In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u20135 (2023). https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10096258","DOI":"10.1109\/ICASSP49357.2023.10096258"},{"issue":"2s","key":"1887_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3550274","volume":"19","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Yang, Q., Xu, Y., Yang, L.: Point cloud quality assessment: dataset construction and learning-based no-reference metric. ACM Trans. Multimed. Comput. Commun. Appl. 19(2s), 1\u201326 (2023). https:\/\/doi.org\/10.1145\/3550274","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"issue":"4","key":"1887_CR22","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TCSVT.2016.2543039","volume":"27","author":"R Mekuria","year":"2016","unstructured":"Mekuria, R., Blom, K., Cesar, P.: Design, implementation, and evaluation of a point cloud codec for tele-immersive video. IEEE Trans. Circuits Syst. Video Technol. 27(4), 828\u2013842 (2016). https:\/\/doi.org\/10.1109\/TCSVT.2016.2543039","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1887_CR23","doi-asserted-by":"publisher","unstructured":"Javaheri, A., Brites, C., Pereira, F., Ascenso, J.: A generalized Hausdorff distance based quality metric for point cloud geometry. In: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), pp. 1\u20136 (2020). https:\/\/doi.org\/10.1109\/QoMEX48832.2020.9123087","DOI":"10.1109\/QoMEX48832.2020.9123087"},{"key":"1887_CR24","doi-asserted-by":"publisher","unstructured":"Tian, D., Ochimizu, H., Feng, C., Cohen, R., Vetro, A.: Geometric distortion metrics for point cloud compression. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3460\u20133464 (2017). https:\/\/doi.org\/10.1109\/ICIP.2017.8296925","DOI":"10.1109\/ICIP.2017.8296925"},{"key":"1887_CR25","doi-asserted-by":"publisher","unstructured":"Alexiou, E., Ebrahimi, T., Bernardo, M.V., Pereira, M., Pinheiro, A., Cruz, L.A.D.S., Duarte, C., Dmitrovic, L.G., Dumic, E., Matkovics, D., et al.: Point cloud subjective evaluation methodology based on 2d rendering. In: 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), pp. 1\u20136 (2018). https:\/\/doi.org\/10.1109\/QoMEX.2018.8463406","DOI":"10.1109\/QoMEX.2018.8463406"},{"key":"1887_CR26","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.1109\/LSP.2020.3010128","volume":"27","author":"A Javaheri","year":"2020","unstructured":"Javaheri, A., Brites, C., Pereira, F., Ascenso, J.: Mahalanobis based point to distribution metric for point cloud geometry quality evaluation. IEEE Signal Process. Lett. 27, 1350\u20131354 (2020). https:\/\/doi.org\/10.1109\/LSP.2020.3010128","journal-title":"IEEE Signal Process. Lett."},{"issue":"6","key":"1887_CR27","doi-asserted-by":"publisher","first-page":"3015","DOI":"10.1109\/TPAMI.2020.3047083","volume":"44","author":"Q Yang","year":"2020","unstructured":"Yang, Q., Ma, Z., Xu, Y., Li, Z., Sun, J.: Inferring point cloud quality via graph similarity. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 3015\u20133029 (2020). https:\/\/doi.org\/10.1109\/TPAMI.2020.3047083","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"1887_CR28","doi-asserted-by":"publisher","first-page":"6037","DOI":"10.1109\/TPAMI.2022.3213831","volume":"45","author":"Q Yang","year":"2022","unstructured":"Yang, Q., Zhang, Y., Chen, S., Xu, Y., Sun, J., Ma, Z.: Mped: quantifying point cloud distortion based on multiscale potential energy discrepancy. IEEE Trans. Pattern Anal. Mach. Intell. 45(5), 6037\u20136054 (2022). https:\/\/doi.org\/10.1109\/TPAMI.2022.3213831","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1887_CR29","doi-asserted-by":"publisher","unstructured":"Tliba, M., Chetouani, A., Valenzise, G., Dufaux, F.: Pcqa-graphpoint: efficient deep-based graph metric for point cloud quality assessment. In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u20135 (2023). https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10096610","DOI":"10.1109\/ICASSP49357.2023.10096610"},{"key":"1887_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2023.3311339","author":"Q Liang","year":"2023","unstructured":"Liang, Q., He, Z., Yu, M., Luo, T., Xu, H.: Mfe-net: a multi-layer feature extraction network for no-reference quality assessment of 3-d point clouds. IEEE Trans. Broadcast. (2023). https:\/\/doi.org\/10.1109\/TBC.2023.3311339","journal-title":"IEEE Trans. Broadcast."},{"issue":"8","key":"1887_CR31","doi-asserted-by":"publisher","first-page":"3886","DOI":"10.1109\/TIP.2017.2707807","volume":"26","author":"RL Queiroz","year":"2017","unstructured":"Queiroz, R.L., Chou, P.A.: Motion-compensated compression of dynamic voxelized point clouds. IEEE Trans. Image Process. 26(8), 3886\u20133895 (2017). https:\/\/doi.org\/10.1109\/TIP.2017.2707807","journal-title":"IEEE Trans. Image Process."},{"key":"1887_CR32","doi-asserted-by":"publisher","unstructured":"Alexiou, E., Ebrahimi, T.: Exploiting user interactivity in quality assessment of point cloud imaging. In: 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), pp. 1\u20136 (2019). https:\/\/doi.org\/10.1109\/QoMEX.2019.8743277","DOI":"10.1109\/QoMEX.2019.8743277"},{"key":"1887_CR33","doi-asserted-by":"publisher","first-page":"3877","DOI":"10.1109\/TMM.2020.3033117","volume":"23","author":"Q Yang","year":"2020","unstructured":"Yang, Q., Chen, H., Ma, Z., Xu, Y., Tang, R., Sun, J.: Predicting the perceptual quality of point cloud: A 3d-to-2d projection-based exploration. IEEE Trans. Multimed. 23, 3877\u20133891 (2020). https:\/\/doi.org\/10.1109\/TMM.2020.3033117","journal-title":"IEEE Trans. Multimed."},{"key":"1887_CR34","doi-asserted-by":"publisher","first-page":"88108","DOI":"10.1109\/ACCESS.2021.3087183","volume":"9","author":"T Chen","year":"2021","unstructured":"Chen, T., Long, C., Su, H., Chen, L., Chi, J., Pan, Z., Yang, H., Liu, Y.: Layered projection-based quality assessment of 3d point clouds. IEEE Access 9, 88108\u201388120 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3087183","journal-title":"IEEE Access"},{"key":"1887_CR35","doi-asserted-by":"publisher","unstructured":"Yang, Q., Liu, Y., Chen, S., Xu, Y., Sun, J.: No-reference point cloud quality assessment via domain adaptation. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 21147\u201321156 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.02050","DOI":"10.1109\/CVPR52688.2022.02050"},{"issue":"6","key":"1887_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3643817","volume":"20","author":"Z Zhang","year":"2024","unstructured":"Zhang, Z., Sun, W., Wu, H., Zhou, Y., Li, C., Chen, Z., Min, X., Zhai, G., Lin, W.: Gms-3dqa: projection-based grid mini-patch sampling for 3d model quality assessment. ACM Trans. Multimed. Comput. Commun. Appl. 20(6), 1\u201319 (2024). https:\/\/doi.org\/10.1145\/3643817","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"1887_CR37","doi-asserted-by":"publisher","unstructured":"Shan, Z., Zhang, Y., Yang, Q., Yang, H., Xu, Y., Liu, S.: Pame: self-supervised masked autoencoder for no-reference point cloud quality assessment (2024). arXiv preprint arXiv:2403.10061. https:\/\/doi.org\/10.48550\/arXiv.2403.10061","DOI":"10.48550\/arXiv.2403.10061"},{"key":"1887_CR38","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Sun, W., Zhu, Y., Min, X., Wu, W., Chen, Y., Zhai, G.: Evaluating point cloud from moving camera videos: a no-reference metric (2022) . arXiv e-prints https:\/\/doi.org\/10.1109\/TMM.2023.3340894","DOI":"10.1109\/TMM.2023.3340894"},{"issue":"11","key":"1887_CR39","doi-asserted-by":"publisher","first-page":"7969","DOI":"10.1007\/s11760-024-03444-2","volume":"18","author":"Y Miao","year":"2024","unstructured":"Miao, Y., Xiao, S., Pan, L., Zhang, L., Yang, Z.: No-reference point cloud quality assessment based on multi-projection and hierarchical pyramid network. SIViP 18(11), 7969\u20137980 (2024). https:\/\/doi.org\/10.1007\/s11760-024-03444-2","journal-title":"SIViP"},{"key":"1887_CR40","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3423830","author":"X Chai","year":"2024","unstructured":"Chai, X., Shao, F.: Ms-pcqe: efficient no-reference point cloud quality evaluation via multi-scale interaction module in immersive communications. IEEE Trans. Consum. Electron. (2024). https:\/\/doi.org\/10.1109\/TCE.2024.3423830","journal-title":"IEEE Trans. Consum. Electron."},{"key":"1887_CR41","doi-asserted-by":"publisher","unstructured":"Zhou, X., Viola, I., Yin, R., Cesar, P.: Visual-saliency guided multi-modal learning for no reference point cloud quality assessment. In: Proceedings of the 3rd Workshop on Quality of Experience in Visual Multimedia Applications, pp. 39\u201347 (2024). https:\/\/doi.org\/10.1145\/3689093.3689183","DOI":"10.1145\/3689093.3689183"},{"key":"1887_CR42","doi-asserted-by":"publisher","unstructured":"Tliba, M., Chetouani, A., Valenzise, G., Dufaux, F.: Multi-modal evaluation of 3d point clouds images: a novel no-reference approach using a multi-stream attentive architecture. In: 2023 31st European Signal Processing Conference (EUSIPCO), pp. 680\u2013684 (2023). https:\/\/doi.org\/10.23919\/EUSIPCO58844.2023.10290034","DOI":"10.23919\/EUSIPCO58844.2023.10290034"},{"key":"1887_CR43","doi-asserted-by":"publisher","unstructured":"Messai, O., Bentamou, A., Zein-Eddine, A., Gavet, Y.: Activating frequency and vit for 3d point cloud quality assessment without reference. In: 2023 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), pp. 3636\u20133640 (2023). https:\/\/doi.org\/10.1109\/ICIPC59416.2023.10328373","DOI":"10.1109\/ICIPC59416.2023.10328373"},{"key":"1887_CR44","doi-asserted-by":"publisher","unstructured":"Wang, X., Wang, X., Liu, R., Huang, X.: Rating-augmented no-reference point cloud quality assessment using multi-task learning. In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4320\u20134324 (2024). https:\/\/doi.org\/10.1109\/ICASSP48485.2024.10448511","DOI":"10.1109\/ICASSP48485.2024.10448511"},{"key":"1887_CR45","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Wu, H., Zhou, Y., Li, C., Sun, W., Chen, C., Min, X., Liu, X., Lin, W., Zhai, G.: Lmm-pcqa: assisting point cloud quality assessment with lmm. In: Proceedings of the 32nd ACM International Conference on Multimedia, pp. 7783\u20137792 (2024). https:\/\/doi.org\/10.1145\/3664647.368094","DOI":"10.1145\/3664647.368094"},{"key":"1887_CR46","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3452556","author":"W Xie","year":"2024","unstructured":"Xie, W., Liu, Y., Wang, K., Wang, M.: Llm-guided cross-modal point cloud quality assessment: a graph learning approach. IEEE Signal Process. Lett. (2024). https:\/\/doi.org\/10.1109\/LSP.2024.3452556","journal-title":"IEEE Signal Process. Lett."},{"key":"1887_CR47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3410052","author":"W Chen","year":"2024","unstructured":"Chen, W., Jiang, Q., Zhou, W., Xu, L., Lin, W.: Dynamic hypergraph convolutional network for no-reference point cloud quality assessment. IEEE Trans. Circuits Syst. Video Technol. (2024). https:\/\/doi.org\/10.1109\/TCSVT.2024.3410052","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"1887_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3326362","volume":"38","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Sun, Y., Liu, Z., Sarma, S.E., Bronstein, M.M., Solomon, J.M.: Dynamic graph cnn for learning on point clouds. ACM Trans. Graph. (tog) 38(5), 1\u201312 (2019). https:\/\/doi.org\/10.1145\/3326362","journal-title":"ACM Trans. Graph. (tog)"},{"key":"1887_CR49","doi-asserted-by":"publisher","unstructured":"Feichtenhofer, C., Fan, H., Malik, J., He, K.: Slowfast networks for video recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6202\u20136211 (2019). https:\/\/doi.org\/10.48550\/arXiv.1812.03982","DOI":"10.48550\/arXiv.1812.03982"},{"key":"1887_CR50","doi-asserted-by":"publisher","unstructured":"Liu, S., Qi, L., Qin, H., Shi, J., Jia, J.: Path aggregation network for instance segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8759\u20138768 (2018). https:\/\/doi.org\/10.48550\/arXiv.1803.01534","DOI":"10.48550\/arXiv.1803.01534"},{"issue":"8","key":"1887_CR51","doi-asserted-by":"publisher","first-page":"3642","DOI":"10.1109\/TVCG.2022.3167151","volume":"29","author":"Q Liu","year":"2022","unstructured":"Liu, Q., Su, H., Duanmu, Z., Liu, W., Wang, Z.: Perceptual quality assessment of colored 3d point clouds. IEEE Trans. Vis. Comput. Graph. 29(8), 3642\u20133655 (2022). https:\/\/doi.org\/10.1109\/TVCG.2022.3167151","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"1887_CR52","doi-asserted-by":"publisher","first-page":"6730","DOI":"10.1109\/TMM.2024.3355642","volume":"26","author":"A Ak","year":"2024","unstructured":"Ak, A., Zerman, E., Quach, M., Chetouani, A., Smolic, A., Valenzise, G., Le Callet, P.: Basics: broad quality assessment of static point clouds in a compression scenario. IEEE Trans. Multimed. 26, 6730\u20136742 (2024). https:\/\/doi.org\/10.1109\/TMM.2024.3355642","journal-title":"IEEE Trans. Multimed."},{"key":"1887_CR53","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2025.3541862","author":"Y Liu","year":"2025","unstructured":"Liu, Y., Yang, Q., Zhang, Y., Xu, Y., Yang, L., Xu, X., Liu, S.: Once-training-all-fine: no-reference point cloud quality assessment via domain-relevance degradation description. IEEE Trans. Broadcast. (2025). https:\/\/doi.org\/10.1109\/TBC.2025.3541862","journal-title":"IEEE Trans. Broadcast."}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01887-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-025-01887-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01887-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T09:05:47Z","timestamp":1757927147000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-025-01887-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,26]]},"references-count":53,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["1887"],"URL":"https:\/\/doi.org\/10.1007\/s00530-025-01887-2","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,26]]},"assertion":[{"value":"27 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"310"}}