{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T12:29:42Z","timestamp":1771244982468,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819569496","type":"print"},{"value":"9789819569502","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-6950-2_44","type":"book-chapter","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T11:58:48Z","timestamp":1771243128000},"page":"622-633","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["No-Reference Image Quality Assessment via\u00a0Attention-Based Feature Enhancement and\u00a0Feature Interaction"],"prefix":"10.1007","author":[{"given":"Qiqun","family":"Yu","sequence":"first","affiliation":[]},{"given":"Yihua","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jiliang","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Zhenjun","family":"Tang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,17]]},"reference":[{"key":"44_CR1","doi-asserted-by":"crossref","unstructured":"Chen, Y., Chen, Z., Yu, M., Tang, Z.: Dual-feature aggregation network for no-reference image quality assessment. In: International Conference on Multimedia Modeling, pp. 149\u2013161. Springer (2023)","DOI":"10.1007\/978-3-031-27077-2_12"},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Ma, J., Chen, Y., Huang, P., Tang, Z.: Attention-enhanced feature fusion network for no-reference image quality assessment. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.\u00a01\u20135. IEEE (2025)","DOI":"10.1109\/ICASSP49660.2025.10888456"},{"issue":"11","key":"44_CR3","doi-asserted-by":"publisher","first-page":"7559","DOI":"10.1109\/TCSVT.2022.3190273","volume":"32","author":"M Yu","year":"2022","unstructured":"Yu, M., Tang, Z., Zhang, X., Zhong, B., Zhang, X.: Perceptual hashing with complementary color wavelet transform and compressed sensing for reduced-reference image quality assessment. IEEE Trans. Circuits Syst. Video Technol. 32(11), 7559\u20137574 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"44_CR4","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TCSVT.2018.2886771","volume":"30","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Ma, K., Yan, J., Deng, D., Wang, Z.: Blind image quality assessment using a deep bilinear convolutional neural network. IEEE Trans. Circuits Syst. Video Technol. 30(1), 36\u201347 (2018)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Su, S., et al.: Blindly assess image quality in the wild guided by a self-adaptive hyper network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3667\u20133676 (2020)","DOI":"10.1109\/CVPR42600.2020.00372"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Golestaneh, S.A., Dadsetan, S., Kitani, K.M.: No-reference image quality assessment via transformers, relative ranking, and self-consistency. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 1220\u20131230 (2022)","DOI":"10.1109\/WACV51458.2022.00404"},{"key":"44_CR7","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.1109\/TIP.2022.3144892","volume":"31","author":"Z Pan","year":"2022","unstructured":"Pan, Z., Yuan, F., Lei, J., Fang, Y., Shao, X., Kwong, S.: VCRNet: visual compensation restoration network for no-reference image quality assessment. IEEE Trans. Image Process. 31, 1613\u20131627 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Chen, C., et al.: Topiq: a top-down approach from semantics to distortions for image quality assessment. IEEE Trans. Image Process. (2024)","DOI":"10.1109\/TIP.2024.3378466"},{"issue":"11","key":"44_CR9","doi-asserted-by":"publisher","first-page":"3440","DOI":"10.1109\/TIP.2006.881959","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"Sheikh, H.R., Sabir, M.F., Bovik, A.C.: A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15(11), 3440\u20133451 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"44_CR10","doi-asserted-by":"publisher","DOI":"10.1117\/1.3267105","volume":"19","author":"EC Larson","year":"2010","unstructured":"Larson, E.C., Chandler, D.M.: Most apparent distortion: full-reference image quality assessment and the role of strategy. J. Electron. Imaging 19(1), 011006 (2010)","journal-title":"J. Electron. Imaging"},{"key":"44_CR11","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.image.2014.10.009","volume":"30","author":"N Ponomarenko","year":"2015","unstructured":"Ponomarenko, N., et al.: Image database TID2013: peculiarities, results and perspectives. Signal Process. Image Commun. 30, 57\u201377 (2015)","journal-title":"Signal Process. Image Commun."},{"issue":"1","key":"44_CR12","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1109\/TIP.2015.2500021","volume":"25","author":"D Ghadiyaram","year":"2015","unstructured":"Ghadiyaram, D., Bovik, A.C.: Massive online crowdsourced study of subjective and objective picture quality. IEEE Trans. Image Process. 25(1), 372\u2013387 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"44_CR13","unstructured":"Lin, H., Hosu, V., Saupe, D.: Koniq-10k: towards an ecologically valid and large-scale IQA database. arXiv preprint arXiv:1803.08489 (2018)"},{"issue":"12","key":"44_CR14","doi-asserted-by":"publisher","first-page":"3350","DOI":"10.1109\/TIP.2011.2147325","volume":"20","author":"AK Moorthy","year":"2011","unstructured":"Moorthy, A.K., Bovik, A.C.: Blind image quality assessment: from natural scene statistics to perceptual quality. IEEE Trans. Image Process. 20(12), 3350\u20133364 (2011)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"44_CR15","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"44_CR16","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TIP.2015.2426416","volume":"24","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Zhang, L., Bovik, A.C.: A feature-enriched completely blind image quality evaluator. IEEE Trans. Image Process. 24(8), 2579\u20132591 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"44_CR17","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1109\/JSTSP.2016.2639328","volume":"11","author":"J Kim","year":"2016","unstructured":"Kim, J., Lee, S.: Fully deep blind image quality predictor. IEEE J. Sel. Top. Signal Process. 11(1), 206\u2013220 (2016)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"1","key":"44_CR18","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1109\/TIP.2017.2760518","volume":"27","author":"S Bosse","year":"2017","unstructured":"Bosse, S., Maniry, D., M\u00fcller, K.R., Wiegand, T., Samek, W.: Deep neural networks for no-reference and full-reference image quality assessment. IEEE Trans. Image Process. 27(1), 206\u2013219 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Ke, J., Wang, Q., Wang, Y., Milanfar, P., Yang, F.: Musiq: multi-scale image quality transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5148\u20135157 (2021)","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"44_CR20","doi-asserted-by":"crossref","unstructured":"Saha, A., Mishra, S., Bovik, A.C.: Re-iqa: unsupervised learning for image quality assessment in the wild. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5846\u20135855 (2023)","DOI":"10.1109\/CVPR52729.2023.00566"},{"key":"44_CR21","doi-asserted-by":"crossref","unstructured":"Mithila, M.M.R., Farias, M.C.Q.: Ms-scanet: a multiscale transformer-based architecture with dual attention for no-reference image quality assessment. In: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.\u00a01\u20135 (2025)","DOI":"10.1109\/ICASSP49660.2025.10887759"},{"issue":"4","key":"44_CR22","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1007\/s00521-023-09188-3","volume":"36","author":"Z Tang","year":"2024","unstructured":"Tang, Z., Chen, Y., Chen, Z., Liang, X., Zhang, X.: Lightweight transformer and multi-head prediction network for no-reference image quality assessment. Neural Comput. Appl. 36(4), 1931\u20131946 (2024)","journal-title":"Neural Comput. Appl."},{"key":"44_CR23","doi-asserted-by":"publisher","first-page":"6139","DOI":"10.1109\/TIP.2022.3205770","volume":"31","author":"B Chen","year":"2022","unstructured":"Chen, B., Zhu, L., Kong, C., Zhu, H., Wang, S., Li, Z.: No-reference image quality assessment by hallucinating pristine features. IEEE Trans. Image Process. 31, 6139\u20136151 (2022)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-6950-2_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T11:58:52Z","timestamp":1771243132000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-6950-2_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819569496","9789819569502"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-6950-2_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"17 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 January 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 January 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2026.cz\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}