{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:37:20Z","timestamp":1743043040503,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031534676"},{"type":"electronic","value":"9783031534683"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-53468-3_27","type":"book-chapter","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T13:03:57Z","timestamp":1708347837000},"page":"320-330","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visual Mesh Quality Assessment Using Weighted Network Representation"],"prefix":"10.1007","author":[{"given":"Mohammed","family":"El Hassouni","sequence":"first","affiliation":[]},{"given":"Hocine","family":"Cherifi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,20]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","unstructured":"Pastrana-Vidal, R.R., Gicquel, J.-C., Colomes, C., Cherifi, H.: Frame dropping effects on user quality perception. In: Proceedings of 5th International WIAMIS (2004)","DOI":"10.1117\/12.525746"},{"key":"27_CR2","first-page":"276","volume":"6057","author":"RR Pastrana-Vidal","year":"2006","unstructured":"Pastrana-Vidal, R.R., Gicquel, J.C., Blin, J.L., Cherifi, H.: Predicting subjective video quality from separated spatial and temporal assessment. SPIE Human Vision Electron. Imaging XI 6057, 276\u2013286 (2006)","journal-title":"SPIE Human Vision Electron. Imaging XI"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Corsini, M., Larabi, M.-C., Lavou\u00e9, G., Petrik, O., Vasa, L., Wang, K.: Perceptual metrics for static and dynamic triangle meshes. In: Computer Graphics Forum, vol. 32, no. 1, pp. 101\u2013125. Wiley Online Library (2013)","DOI":"10.1111\/cgf.12001"},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Cignoni, P., Rocchini, C., Scopigno, R.: Metro: measuring error on simplified surfaces. In: Computer Graphics Forum, vol. 17, pp. 167\u2013174. Wiley Online Library (1998)","DOI":"10.1111\/1467-8659.00236"},{"key":"27_CR5","unstructured":"Aspert, N., Santa-Cruz, D., Ebrahimi, T.: Mesh: measuring errors between surfaces using the Hausdorff distance. In: IEEE International Conference on. Multimedia and Expo, vol. 1, pp. 705\u2013708 (2002)"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Lavou\u00e9, G.: A multiscale metric for 3d mesh visual quality assessment. In: Computer Graphics Forum, vol. 30, pp. 1427\u20131437. Wiley Online Library (2011)","DOI":"10.1111\/j.1467-8659.2011.02017.x"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Torkhani, F., Wang, K., Chassery, J.M.: A curvature tensor distance for mesh visual quality assessment. In: Computer Vision and Graphics, pp. 253\u2013263 (2012)","DOI":"10.1007\/978-3-642-33564-8_31"},{"issue":"2","key":"27_CR8","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1109\/TMM.2006.886261","volume":"9","author":"M Corsini","year":"2007","unstructured":"Corsini, M., Gelasca, E.D., Ebrahimi, T., Barni, M.: Watermarked 3-d mesh quality assessment. IEEE Trans. Multimedia 9(2), 247\u2013256 (2007)","journal-title":"IEEE Trans. Multimedia"},{"issue":"7","key":"27_CR9","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1016\/j.cag.2012.06.004","volume":"36","author":"K Wang","year":"2012","unstructured":"Wang, K., Torkhani, F., Montanvert, A.: A fast roughness-based approach to the assessment of 3D mesh visual quality. Comput. Graph. 36(7), 808\u2013818 (2012)","journal-title":"Comput. Graph."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"V\u00e1\u0161a, L., Rus, J.: Dihedral angle mesh error: a fast perception correlated distortion measure for fixed connectivity triangle meshes. In: Computer Graphics Forum, vol. 31, no. 5, pp. 1715\u20131724. Blackwell Publishing Ltd., Oxford (2012)","DOI":"10.1111\/j.1467-8659.2012.03176.x"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Abouelaziz, I., El Hassouni, M., Cherifi, H.: A convolutional neural network framework for blind mesh visual quality assessment. In: IEEE International Conference on Image Processing (ICIP), pp. 755\u2013759 (2017)","DOI":"10.1109\/ICIP.2017.8296382"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Abouelaziz, I., Chetouani, A., El Hassouni, M., Latecki, L.J., Cherifi, H.: Convolutional neural network for blind mesh visual quality assessment using 3d visual saliency. In: 25th IEEE International Conference on Image Processing (ICIP), pp. 3533\u20133537 (2018)","DOI":"10.1109\/ICIP.2018.8451763"},{"issue":"2","key":"27_CR13","doi-asserted-by":"publisher","first-page":"67","DOI":"10.3390\/info10020067","volume":"10","author":"M Hamidi","year":"2019","unstructured":"Hamidi, M., Chetouani, A., El Haziti, M., El Hassouni, M., Cherifi, H.: Blind robust 3D mesh watermarking based on mesh saliency and wavelet transform for copyright protection. Information 10(2), 67 (2019)","journal-title":"Information"},{"key":"27_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107174","volume":"100","author":"I Abouelaziz","year":"2020","unstructured":"Abouelaziz, I., Chetouani, A., El Hassouni, M., Latecki, L.J., Cherifi, H.: No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling. Pattern Recogn. 100, 107174 (2020)","journal-title":"Pattern Recogn."},{"key":"27_CR15","doi-asserted-by":"publisher","first-page":"20191","DOI":"10.1007\/s11042-019-7304-2","volume":"78","author":"Y Mourchid","year":"2019","unstructured":"Mourchid, Y., El Hassouni, M., Cherifi, H.: A general framework for complex network-based image segmentation. Multimedia Tools Appl. 78, 20191\u201320216 (2019)","journal-title":"Multimedia Tools Appl."},{"key":"27_CR16","unstructured":"Rital, S., Bretto, A., Cherifi, H., Aboutajdine, D.: A combinatorial edge detection algorithm on noisy images. In: International IEEE Symposium on VIPromCom Video\/Image Processing and Multimedia Communications, pp. 351\u2013355 (2002)"},{"key":"27_CR17","doi-asserted-by":"publisher","unstructured":"Rital, S., Cherifi, H., Miguet, S.: Weighted adaptive neighborhood hypergraph partitioning for image segmentation. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds.) Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, 22\u201325 August 2005, Proceedings, Part II, vol. 3, pp. 522\u2013531. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11552499_58","DOI":"10.1007\/11552499_58"},{"key":"27_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103133","volume":"71","author":"LC Ribas","year":"2022","unstructured":"Ribas, L.C., Riad, R., Jennane, R., Bruno, O.M.: A complex network-based approach for knee Osteoarthritis detection: data from the Osteoarthritis initiative. Biomed. Signal Process. Control. 71, 103133 (2022)","journal-title":"Biomed. Signal Process. Control."},{"key":"27_CR19","doi-asserted-by":"crossref","unstructured":"Lasfar, A., Mouline, S., Aboutajdine, D., Cherifi, H.: Content-based retrieval in fractal coded image databases. In: Proceedings 15th International Conference on Pattern Recognition, vol. 1, pp. 1031\u20131034. IEEE ICPR (2000)","DOI":"10.1109\/ICPR.2000.905647"},{"key":"27_CR20","volume-title":"International conference on advanced concepts for intelligent vision systems, pp 752\u2013763","author":"C Demirkesen","year":"2008","unstructured":"Demirkesen, C., Cherifi, H.: A comparison of multiclass SVM methods for real-world natural scenes. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2008, vol. 5259. Springer, Heidelberg (2008)"},{"issue":"3","key":"27_CR21","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1109\/TIP.2005.863039","volume":"15","author":"ME Hassouni","year":"2006","unstructured":"Hassouni, M.E., Cherifi, H., Aboutajdine, D.: HOS-based image sequence noise removal. IEEE Trans. Image Process. 15(3), 572\u2013581 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"27_CR22","doi-asserted-by":"publisher","first-page":"190","DOI":"10.3390\/e22020190","volume":"22","author":"Y Lin","year":"2020","unstructured":"Lin, Y., Yu, M., Chen, K., Jiang, G., Chen, F., Peng, Z.: Blind mesh assessment based on graph spectral entropy and spatial features. Entropy 22(2), 190 (2020)","journal-title":"Entropy"},{"key":"27_CR23","doi-asserted-by":"publisher","first-page":"108200","DOI":"10.1109\/ACCESS.2021.3094663","volume":"9","author":"I Abouelaziz","year":"2021","unstructured":"Abouelaziz, I., Chetouani, A., Hassouni, M.E., Cherifi, H., Latecki, L.J.: Learning graph convolutional network for blind mesh visual quality assessment. IEEE Access 9, 108200\u2013108211 (2021)","journal-title":"IEEE Access"},{"key":"27_CR24","doi-asserted-by":"crossref","unstructured":"Lee, C.H., Varshney, A., Jacobs, D.W.: Mesh saliency. In: ACM SIGGRAPH 2005 Papers, pp. 659\u2013666 (2005)","DOI":"10.1145\/1186822.1073244"},{"key":"27_CR25","doi-asserted-by":"crossref","unstructured":"Lavou\u00e9, G., Gelasca, E.D., Dupont, F., Baskurt, A., Ebrahimi, T.: Perceptually driven 3D distance metrics with application to watermarking. In: Applications of Digital Image Processing XXIX, vol. 6312, p. 63120L. International Society for Optics and Photonics (2006)","DOI":"10.1117\/12.686964"},{"issue":"8","key":"27_CR26","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1109\/TVCG.2015.2480079","volume":"22","author":"G Lavou\u00e9","year":"2015","unstructured":"Lavou\u00e9, G., Larabi, M.C., V\u00e1\u0161a, L.: On the efficiency of image metrics for evaluating the visual quality of 3D models. IEEE Trans. Visualization Comput. Graph. 22(8), 1987\u20131999 (2015)","journal-title":"IEEE Trans. Visualization Comput. Graph."},{"key":"27_CR27","doi-asserted-by":"crossref","unstructured":"Silva, S., Santos, B.S., Ferreira, C., Madeira, J.: A perceptual data repository for polygonal meshes. In: 2009 Second International Conference in Visualisation, pp. 207\u2013212. IEEE (2009)","DOI":"10.1109\/VIZ.2009.41"},{"key":"27_CR28","doi-asserted-by":"publisher","unstructured":"Abouelaziz, I., El Hassouni, M., Cherifi, H.: No-reference 3d mesh quality assessment based on dihedral angles model and support vector regression. In: Mansouri, A., Nouboud, F., Chalifour, A., Mammass, D., Meunier, J., Elmoataz, A. (eds.) International Conference on Image and Signal Processing, pp. 369\u2013377. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-33618-3_37","DOI":"10.1007\/978-3-319-33618-3_37"},{"key":"27_CR29","doi-asserted-by":"crossref","unstructured":"Abouelaziz, I., El Hassouni, M., Cherifi, H.: A curvature based method for blind mesh visual quality assessment using a general regression neural network. In: 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 793\u2013797. IEEE (2016)","DOI":"10.1109\/SITIS.2016.130"}],"container-title":["Studies in Computational Intelligence","Complex Networks & Their Applications XII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53468-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T21:00:28Z","timestamp":1731358828000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53468-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031534676","9783031534683"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53468-3_27","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"20 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COMPLEX NETWORKS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Complex Networks and Their Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Menton","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"28 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwcna2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.complexnetworks.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}