{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:00Z","timestamp":1750219980496,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,14]]},"DOI":"10.1145\/3552469.3555714","type":"proceedings-article","created":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T22:10:03Z","timestamp":1664316603000},"page":"13-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Simulating Visual Mechanisms by Sequential Spatial-Channel Attention for Image Quality Assessment"],"prefix":"10.1145","author":[{"given":"Junyong","family":"You","sequence":"first","affiliation":[{"name":"NORCE Norwegian Research Centre, Bergen, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jari","family":"Korhonen","sequence":"additional","affiliation":[{"name":"Shenzhen University & University of Aberdeen, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(01)00177-3"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2011760"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/35058500"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2011.942473"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2133770"},{"volume-title":"ACM Int. Conf. Multimed. (MM)","author":"You J.","key":"e_1_3_2_2_9_1","unstructured":"You J. , Perkis A. , Hannuksela M.M. , and Gabbou M .. 2009. Perceptual quality assessment based on visual attention analysis . ACM Int. Conf. Multimed. (MM) , Beijing, China. You J., Perkis A., Hannuksela M.M., and Gabbou M.. 2009. Perceptual quality assessment based on visual attention analysis. ACM Int. Conf. Multimed. (MM), Beijing, China."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2461603"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2287611"},{"key":"e_1_3_2_2_12_1","first-page":"294","article-title":"A real-time foveated multi-resolution system for low-bandwidth video communication","volume":"3299","author":"Geisler W. S.","year":"1998","unstructured":"Geisler W. S. , and Perry J. S. 1998 . A real-time foveated multi-resolution system for low-bandwidth video communication . SPIE Human Vision Electron. Imaging , 3299 : 294 -- 305 , San Jose, CA, USA, Jan. 1998. Geisler W. S., and Perry J. S. 1998. A real-time foveated multi-resolution system for low-bandwidth video communication. SPIE Human Vision Electron. Imaging, 3299:294--305, San Jose, CA, USA, Jan. 1998.","journal-title":"SPIE Human Vision Electron. Imaging"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2007.06.001"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2005.01.019"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2021.103399"},{"key":"e_1_3_2_2_16_1","volume-title":"Adv. Neural Inf. Process. Syst. (NIPS)","author":"Vaswani A.","year":"2017","unstructured":"Vaswani A. , Shazeer N. , Parmar N. , Uszkoreit J. , Jones L. , Gomez A.N. , Kaiser L. , and Polosukhin I . 2017. Attention is all your need . Adv. Neural Inf. Process. Syst. (NIPS) , Dec. 2017 , Long Beach, CA, USA. Vaswani A., Shazeer N., Parmar N., Uszkoreit J., Jones L., Gomez A.N., Kaiser L., and Polosukhin I. 2017. Attention is all your need. Adv. Neural Inf. Process. Syst. (NIPS), Dec. 2017, Long Beach, CA, USA."},{"key":"e_1_3_2_2_17_1","volume-title":"Int. Conf. Learn. Represent. (ICLR)","author":"Dosovitskiy A.","year":"2021","unstructured":"Dosovitskiy A. , Beyer L. , Kolesnikov A. , Weissenborn D. , Zhai X. , Unterthiner T. , Dehghani M. , Minderer M. , Heigold G. , Gelly S. , Uszkoreit J. , and Houlsby N . 2021. An image is worth 16x16 words: Transformers for image recognition at scale . Int. Conf. Learn. Represent. (ICLR) , May 2021 , Virtual. Dosovitskiy A., Beyer L., Kolesnikov A., Weissenborn D., Zhai X., Unterthiner T., Dehghani M., Minderer M., Heigold G., Gelly S., Uszkoreit J., and Houlsby N. 2021. An image is worth 16x16 words: Transformers for image recognition at scale. Int. Conf. Learn. Represent. (ICLR), May 2021, Virtual."},{"key":"e_1_3_2_2_18_1","volume-title":"IEEE. Int. Conf. Image Process. (ICIP)","author":"You J.","year":"2021","unstructured":"You J. , and Korhonen J . 2021. Transformer for image quality assessment . IEEE. Int. Conf. Image Process. (ICIP) , Sep. 2021 , Anchorage, Alaska, USA. You J., and Korhonen J. 2021. Transformer for image quality assessment. IEEE. Int. Conf. Image Process. (ICIP), Sep. 2021, Anchorage, Alaska, USA."},{"key":"e_1_3_2_2_19_1","volume-title":"IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV)","author":"Ke J.","year":"2021","unstructured":"Ke J. , Wang O. , Wang Y. , Milanfar P. , and Yang F . 2021. MUSIQ: Multi-scale image quality Transformer . IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV) , Oct. 2021 , Virtual. Ke J., Wang O., Wang Y., Milanfar P., and Yang F. 2021. MUSIQ: Multi-scale image quality Transformer. IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV), Oct. 2021, Virtual."},{"key":"e_1_3_2_2_20_1","volume-title":"IEEE\/CVF Int. Conf. Comput. Vis.. Workshops","author":"Cheon M.","year":"2021","unstructured":"Cheon M. , Yoon S. , Kang B. , and Lee J . 2021. Perceptual image quality assessment with Transformers . IEEE\/CVF Int. Conf. Comput. Vis.. Workshops , Oct. 2021 , Virtual. Cheon M., Yoon S., Kang B., and Lee J. 2021. Perceptual image quality assessment with Transformers. IEEE\/CVF Int. Conf. Comput. Vis.. Workshops, Oct. 2021, Virtual."},{"key":"e_1_3_2_2_21_1","volume-title":"Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Kang L.","year":"2014","unstructured":"Kang L. , Ye P. , Li Y. , and Doermann D . 2014. Convolutional neural networks for no-reference image quality assessment.,\" IEEE Comput . Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR) , Jun. 2014 , Columbus, OH, US,. Kang L., Ye P., Li Y., and Doermann D. 2014. Convolutional neural networks for no-reference image quality assessment.,\" IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2014, Columbus, OH, US,."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2760518"},{"key":"e_1_3_2_2_23_1","volume-title":"IEEE Int. Conf. Digit. Signal Process. (DSP)","author":"Li Y.","year":"2016","unstructured":"Li Y. , Po L-M. , Feng L. , and Yuan F . 2016. No-reference image quality assessment with deep convolutional neural networks . IEEE Int. Conf. Digit. Signal Process. (DSP) , Oct. 2016 , Beijing, China. Li Y., Po L-M., Feng L., and Yuan F. 2016. No-reference image quality assessment with deep convolutional neural networks. IEEE Int. Conf. Digit. Signal Process. (DSP), Oct. 2016, Beijing, China."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.04.016"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1166-8"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967829"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886771"},{"volume-title":"End-to-end blind image quality assessment using deep neural networks","author":"Ma K.","key":"e_1_3_2_2_28_1","unstructured":"Ma K. , Liu W. , Zhang K. , Duanmu Z. , Wang Z. , and Zuo W . End-to-end blind image quality assessment using deep neural networks . IEEE Trans. Image Process ., 27(3): 1202--1213. Ma K., Liu W., Zhang K., Duanmu Z., Wang Z., and Zuo W. End-to-end blind image quality assessment using deep neural networks. IEEE Trans. Image Process., 27(3): 1202--1213."},{"key":"e_1_3_2_2_29_1","volume-title":"ACM Int. Conf. Multimed. (MM)","author":"Yang S.","year":"2019","unstructured":"Yang S. , Jiang Q. , Lin W. , and Wang Y . 2019. SGDNet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment . ACM Int. Conf. Multimed. (MM) , Oct. 2019 , Nice, France. Yang S., Jiang Q., Lin W., and Wang Y. 2019. SGDNet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment. ACM Int. Conf. Multimed. (MM), Oct. 2019, Nice, France."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883741"},{"key":"e_1_3_2_2_32_1","volume-title":"IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Su S.","year":"2020","unstructured":"Su S. , Yan Q. , Zhu Y. , Zhang C. , Ge X. , Sun J. , and Zhang Y . 2020. Blindly assess image quality in the wild guided by a self-adaptive hyper network . IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR) , Jun. 2020 , Virtual. Su S., Yan Q., Zhu Y., Zhang C., Ge X., Sun J., and Zhang Y. 2020. Blindly assess image quality in the wild guided by a self-adaptive hyper network. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2020, Virtual."},{"key":"e_1_3_2_2_33_1","volume-title":"IEEE Conf. on Signals, Syst. and Comput.","author":"Wang Z.","year":"2003","unstructured":"Wang Z. , Simoncelli E.P. , and Bovik A.C . 2003. Multi-scale structural similarity for image quality assessment . IEEE Conf. on Signals, Syst. and Comput. , Nov. 2003 , Pacific Grove, CA, USA. Wang Z., Simoncelli E.P., and Bovik A.C. 2003. Multi-scale structural similarity for image quality assessment. IEEE Conf. on Signals, Syst. and Comput., Nov. 2003, Pacific Grove, CA, USA."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3002478"},{"key":"e_1_3_2_2_35_1","volume-title":"IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV)","author":"Liu Z.","year":"2021","unstructured":"Liu Z. , Lin Y. , Cao Y. , Hu H. , Wei Y. , Zhang Z. , Lin S. , and Guo B . 2021. Swin Transformer: Hierarchical vision Transformer using shifted windows . IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV) , Oct. 2021 , Virtual. Liu Z., Lin Y., Cao Y., Hu H., Wei Y., Zhang Z., Lin S., and Guo B. 2021. Swin Transformer: Hierarchical vision Transformer using shifted windows. IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV), Oct. 2021, Virtual."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_3_2_2_38_1","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"Devlin J.","year":"2019","unstructured":"Devlin J. , Chang M.-W. , Lee K. , and Toutanova K. 2019 . BERT: Pre-training of deep bidirectional transformers for language understanding . Proc. NAACL-HLT , 1 : 4171 -- 4186 , Jun. 2019, Minneapolis, Minnesota, USA. Devlin J., Chang M.-W., Lee K., and Toutanova K. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. Proc. NAACL-HLT, 1:4171--4186, Jun. 2019, Minneapolis, Minnesota, USA.","journal-title":"Proc. NAACL-HLT"},{"key":"e_1_3_2_2_39_1","volume-title":"Int. Conf. Learn. Represent. (ICLR)","author":"Kitaev N.","year":"2020","unstructured":"Kitaev N. , Kaiser L. , and Levskaya A . 2020. Reformer: The efficient Transformer . Int. Conf. Learn. Represent. (ICLR) , Apr.-May , 2020 , Virtual. Kitaev N., Kaiser L., and Levskaya A. 2020. Reformer: The efficient Transformer. Int. Conf. Learn. Represent. (ICLR), Apr.-May, 2020, Virtual."},{"key":"e_1_3_2_2_40_1","volume-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Zhu C.","year":"2021","unstructured":"Zhu C. , Ping W. , Xiao C. , Shoeybi M. , Goldstein T. , Anandkumar A. , and Catanzaro B .. 2021. Long-short Transformer: Efficient Transformers for language and vision . Adv. Neural Inf. Process. Syst. (NeurIPS) , Dec. 2021 , Virtual. Zhu C., Ping W., Xiao C., Shoeybi M., Goldstein T., Anandkumar A., and Catanzaro B.. 2021. Long-short Transformer: Efficient Transformers for language and vision. Adv. Neural Inf. Process. Syst. (NeurIPS), Dec. 2021, Virtual."},{"key":"e_1_3_2_2_41_1","volume-title":"IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Fang Y.","year":"2020","unstructured":"Fang Y. , Zhu H. , Zeng Y. , Ma K. , and Wang Z . 2020. Perceptual quality assessment of smartphone photography . IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR) , Jun. 2020 , Virtual. Fang Y., Zhu H., Zeng Y., Ma K., and Wang Z. 2020. Perceptual quality assessment of smartphone photography. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2020, Virtual."},{"key":"e_1_3_2_2_42_1","volume-title":"IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Ying Z.","year":"2020","unstructured":"Ying Z. , Niu H. , Gupta P. , Mahajan D. , Ghadiyaram D. , and Bovik A.C . 2020. From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality . IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR) , Jun. 2020 , Virtual. Ying Z., Niu H., Gupta P., Mahajan D., Ghadiyaram D., and Bovik A.C. 2020. From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2020, Virtual."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3061932"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01408-w"},{"key":"e_1_3_2_2_45_1","unstructured":"ITU-T Recommendation P.910. 2008. Subjective video quality assessment methods for multimedia applications \" ITU.  ITU-T Recommendation P.910. 2008. Subjective video quality assessment methods for multimedia applications \" ITU."},{"key":"e_1_3_2_2_46_1","unstructured":"A.B. Jung K. Wada J. Crall et al. Imgaug available online: https:\/\/ github.com\/aleju\/imgaug.  A.B. Jung K. Wada J. Crall et al. Imgaug available online: https:\/\/ github.com\/aleju\/imgaug."},{"key":"e_1_3_2_2_47_1","first-page":"390","volume-title":"CID2013: A database for eval-uating no-reference image quality assessment algorithms. IEEE Trans. Image Process, 24(1)","author":"Virtanen T.","unstructured":"Virtanen T. , Nuutinen M. , Vaahteranoksa M. , Oittinen P. , and H\u00e4kkinen J . 2015 . CID2013: A database for eval-uating no-reference image quality assessment algorithms. IEEE Trans. Image Process, 24(1) :, pp. 390 -- 402 . Virtanen T., Nuutinen M., Vaahteranoksa M., Oittinen P., and H\u00e4kkinen J. 2015. CID2013: A database for eval-uating no-reference image quality assessment algorithms. IEEE Trans. Image Process, 24(1):, pp. 390--402."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2500021"},{"key":"e_1_3_2_2_49_1","volume-title":"IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV)","author":"Selvaraju R.R.","year":"2017","unstructured":"Selvaraju R.R. , Cogswell M. , Das A. , Vedantam R. , Parikh D. , and Batra D . 2017. Grad-CAM: Visual explanations from deep networks via gradient-based localization . IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV) , Oct. 2017 , Venice, Italy. Selvaraju R.R., Cogswell M., Das A., Vedantam R., Parikh D., and Batra D. 2017. Grad-CAM: Visual explanations from deep networks via gradient-based localization. IEEE\/CVF Int. Conf. Comput. Vis.. (ICCV), Oct. 2017, Venice, Italy."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3552469.3555714","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3552469.3555714","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:25Z","timestamp":1750182565000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3552469.3555714"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":48,"alternative-id":["10.1145\/3552469.3555714","10.1145\/3552469"],"URL":"https:\/\/doi.org\/10.1145\/3552469.3555714","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}