{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:50:11Z","timestamp":1765547411014,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T00:00:00Z","timestamp":1731974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61934002"],"award-info":[{"award-number":["61934002"]}]},{"name":"National Natural Science Foundation of China","award":["62234008"],"award-info":[{"award-number":["62234008"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,19]]},"DOI":"10.1145\/3703790.3703793","type":"proceedings-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T12:30:00Z","timestamp":1744115400000},"page":"19-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Hardware-Aware and Content-Adaptive Super Resolution System for Bandwidth-Limited IoT Video Delivery"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2609-846X","authenticated-orcid":false,"given":"Xuyang","family":"Duan","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2530-3886","authenticated-orcid":false,"given":"Zikang","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7069-2110","authenticated-orcid":false,"given":"Wu","family":"Qiu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2789-3630","authenticated-orcid":false,"given":"Zhiyi","family":"Shu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7363-8333","authenticated-orcid":false,"given":"Zheng","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5245-0754","authenticated-orcid":false,"given":"Jun","family":"Han","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2025,3,31]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_16"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Fabiano Bhering Diego Passos Luiz\u00a0Satoru Ochi Katia Obraczka and C\u00e9lio Albuquerque. 2022. Wireless multipath video transmission: when IoT video applications meet networking\u2014a survey. Multimedia Systems 28 3 (2022) 831\u2013850.","DOI":"10.1007\/s00530-021-00885-4"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_6"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Chao Dong Chen\u00a0Change Loy Kaiming He and Xiaoou Tang. 2015. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38 2 (2015) 295\u2013307.","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Xuyang Duan Yufan Chen Menghan Li Yitong Rong Ruiqi Xie and Jun Han. 2023. UArch: A super-resolution processor with heterogeneous triple-core architecture for workloads of U-Net networks. IEEE Transactions on Biomedical Circuits and Systems 17 3 (2023) 633\u2013647.","DOI":"10.1109\/TBCAS.2023.3261060"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_22"},{"key":"e_1_3_3_1_10_2","unstructured":"Han Huang Li Shen Chaoyang He Weisheng Dong Haozhi Huang and Guangming Shi. 2021. Lightweight image super-resolution with hierarchical and differentiable neural architecture search. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2105.03939 17 (2021) 30."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01184"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Juhyoung Lee Jinsu Lee and Hoi-Jun Yoo. 2020. SRNPU: An energy-efficient CNN-based super-resolution processor with tile-based selective super-resolution in mobile devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 3 (2020) 320\u2013334.","DOI":"10.1109\/JETCAS.2020.3014454"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Zhiyong Li Sangjin Kim Dongseok Im Donghyeon Han and Hoi-Jun Yoo. 2022. An efficient deep-learning-based super-resolution accelerating SoC with heterogeneous accelerating and hierarchical cache. IEEE Journal of Solid-State Circuits 58 3 (2022) 614\u2013623.","DOI":"10.1109\/JSSC.2022.3224964"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Xin Liu Yuang Li Josh Fromm Yuntao Wang Ziheng Jiang Alex Mariakakis and Shwetak Patel. 2021. SplitSR: An end-to-end approach to super-resolution on mobile devices. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 5 1 (2021) 1\u201320.","DOI":"10.1145\/3448104"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Yanjinlkham Myagmar-Ochir and Wooseong Kim. 2023. A survey of video surveillance systems in smart city. Electronics 12 17 (2023) 3567.","DOI":"10.3390\/electronics12173567"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Rajkumar Rajavel Sathish\u00a0Kumar Ravichandran Karthikeyan Harimoorthy Partheeban Nagappan and Kanagachidambaresan\u00a0Ramasubramanian Gobichettipalayam. 2022. IoT-based smart healthcare video surveillance system using edge computing. Journal of ambient intelligence and humanized computing 13 6 (2022) 3195\u20133207.","DOI":"10.1007\/s12652-021-03157-1"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/DISCOVER.2018.8674107"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Leonid\u00a0I Rudin Stanley Osher and Emad Fatemi. 1992. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena 60 1-4 (1992) 259\u2013268.","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00488"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Zhihao Wang Jian Chen and Steven\u00a0CH Hoi. 2020. Deep learning for image super-resolution: A survey. IEEE transactions on pattern analysis and machine intelligence 43 10 (2020) 3365\u20133387.","DOI":"10.1109\/TPAMI.2020.2982166"},{"volume-title":"Introduction of LicheePi 4A","year":"2023","key":"e_1_3_3_1_21_2","unstructured":"wonder. 2023. Introduction of LicheePi 4A. Retrieved May 8, 2023 from https:\/\/wiki.sipeed.com\/hardware\/zh\/lichee\/th1520\/lpi4a\/1_intro.html"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_6"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00478"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Aoyang Zhang Qing Li Ying Chen Xiaoteng Ma Longhao Zou Yong Jiang Zhimin Xu and Gabriel-Miro Muntean. 2021. Video super-resolution and caching\u2014An edge-assisted adaptive video streaming solution. IEEE Transactions on Broadcasting 67 4 (2021) 799\u2013812.","DOI":"10.1109\/TBC.2021.3071010"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Xin Zhao Liang Chang Dongqi Fan Zhicheng Hu Ting Yue Fengbin Tu and Jun Zhou. 2024. HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques. IEEE Transactions on Circuits and Systems I: Regular Papers (2024).","DOI":"10.1109\/TCSI.2024.3354125"}],"event":{"name":"IoT 2024: 14th International Conference on the Internet of Things","acronym":"IoT 2024","location":"Oulu Finland"},"container-title":["Proceedings of the 14th International Conference on the Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3703790.3703793","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3703790.3703793","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:09:42Z","timestamp":1750295382000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3703790.3703793"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,19]]},"references-count":24,"alternative-id":["10.1145\/3703790.3703793","10.1145\/3703790"],"URL":"https:\/\/doi.org\/10.1145\/3703790.3703793","relation":{},"subject":[],"published":{"date-parts":[[2024,11,19]]},"assertion":[{"value":"2025-03-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}