{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T17:14:54Z","timestamp":1758042894269,"version":"3.44.0"},"reference-count":79,"publisher":"Association for Computing Machinery (ACM)","issue":"9","funder":[{"name":"National Science Foundation","award":["NSF 2140645, NSF 2140620, NSF 1835834, NSF 2106592, and NSF 1900875"],"award-info":[{"award-number":["NSF 2140645, NSF 2140620, NSF 1835834, NSF 2106592, and NSF 1900875"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2025,9,30]]},"abstract":"<jats:p>Recent advances in computer vision algorithms and video streaming technologies have facilitated the development of edge-server-based video analytics systems, enabling them to process sophisticated real-world tasks, such as traffic surveillance and workspace monitoring. Meanwhile, due to their omnidirectional recording capability, 360-degree cameras have been proposed to replace traditional cameras in video analytics systems to offer enhanced situational awareness. Yet, we found that providing an efficient 360-degree video analytics framework is a non-trivial task. Due to the higher resolution and geometric distortion in 360-degree videos, existing video analytics pipelines fail to meet the performance requirements for end-to-end latency and query accuracy. To address these challenges, we introduce the innovative ST-360 framework specifically designed for 360-degree video analytics. This framework features a spatial\u2013temporal filtering algorithm that optimizes both data transmission and computational workloads. Evaluation of the ST-360 framework on a unique dataset of 360-degree first-responders videos reveals that it yields accurate query results with a 50% reduction in end-to-end latency compared to state-of-the-art methods.<\/jats:p>","DOI":"10.1145\/3694685","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T09:49:55Z","timestamp":1725443395000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["ST-360: Spatial\u2013Temporal Filtering-Based Low-Latency 360-Degree Video Analytics Framework"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3678-2240","authenticated-orcid":false,"given":"Jiaxi","family":"Li","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, Illinois, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1057-3409","authenticated-orcid":false,"given":"Jingwei","family":"Liao","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, Virginia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3392-4834","authenticated-orcid":false,"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, Illinois, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9858-5729","authenticated-orcid":false,"given":"Anh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, Virginia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1133-6683","authenticated-orcid":false,"given":"Aditi","family":"Tiwari","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, Illinois, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7890-0664","authenticated-orcid":false,"given":"Qian","family":"Zhou","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6722-5517","authenticated-orcid":false,"given":"Zhisheng","family":"Yan","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, Virginia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6813-3043","authenticated-orcid":false,"given":"Klara","family":"Nahrstedt","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, Illinois, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,11]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Md Adnan Arefeen Sumaiya Tabassum Nimi and Md Yusuf Sarwar Uddin. 2022. FrameHopper: Selective processing of video frames in detection-driven real-time video analytics. arXiv:2203.11493. Retrieved from 10.48550\/arXiv.2203.11493","key":"e_1_3_2_2_2","DOI":"10.48550\/arXiv.2203.11493"},{"issue":"8","key":"e_1_3_2_3_2","first-page":"2524","article-title":"Visual distortions in 360\u00b0 videos","volume":"30","author":"de A Azevedo Roberto G.","year":"2019","unstructured":"Roberto G. de A Azevedo, Neil Birkbeck, Francesca De Simone, Ivan Janatra, Balu Adsumilli, and Pascal Frossard. 2019. Visual distortions in 360\u00b0 videos. IEEE Transactions on Circuits and Systems for Video Technology 30, 8 (2019), 2524\u20132537.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"e_1_3_2_4_2","volume-title":"Pearson Correlation Coefficient","author":"Benesty Jacob","year":"2009","unstructured":"Jacob Benesty, Jingdong Chen, Yiteng Huang, and Israel Cohen. 2009. Pearson Correlation Coefficient. Springer, Berlin."},{"key":"e_1_3_2_5_2","volume-title":"Architectural Projections","author":"Benjamin Andrew E.","year":"2012","unstructured":"Andrew E. Benjamin. 2012. Architectural Projections. RMIT University Press Australia."},{"issue":"10","key":"e_1_3_2_6_2","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TCSVT.2021.3101953","article-title":"Overview of the versatile video coding standard and its applications","volume":"31","author":"Bross Benjamin","year":"2021","unstructured":"Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm. 2021. Overview of the versatile video coding standard and its applications. IEEE Transactions on Circuits and Systems for Video Technology 31, 10 (2021), 3736\u20133764.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"e_1_3_2_7_2","first-page":"1","article-title":"Event-driven stitching for tile-based live 360 video streaming","author":"Chen Bo","year":"2019","unstructured":"Bo Chen, Zhisheng Yan, Haiming Jin, and Klara Nahrstedt. 2019. Event-driven stitching for tile-based live 360 video streaming. In MMSys, 1\u201312.","journal-title":"MMSys"},{"key":"e_1_3_2_8_2","first-page":"27","article-title":"Context-aware image compression optimization for visual analytics offloading","author":"Chen Bo","year":"2022","unstructured":"Bo Chen, Zhisheng Yan, and Klara Nahrstedt. 2022. Context-aware image compression optimization for visual analytics offloading. In MMSys, 27\u201338.","journal-title":"MMSys"},{"key":"e_1_3_2_9_2","first-page":"150","article-title":"Boundary-aware shadow detection via mask decoupling and feature correction","author":"Chen Jueyu","year":"2023","unstructured":"Jueyu Chen, Guanyu Xing, Jingwei Liao, Housheng Wei, and Yanli Liu. 2023. Boundary-aware shadow detection via mask decoupling and feature correction. In ICME, 150\u2013155.","journal-title":"ICME"},{"key":"e_1_3_2_10_2","first-page":"518","article-title":"SphereNet: Learning spherical representations for detection and classification in omnidirectional images","author":"Coors Benjamin","year":"2018","unstructured":"Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger. 2018. SphereNet: Learning spherical representations for detection and classification in omnidirectional images. In ECCV, 518\u2013533.","journal-title":"ECCV"},{"key":"e_1_3_2_11_2","first-page":"1977","article-title":"Streaming 360-degree videos using super-resolution","author":"Dasari Mallesham","year":"2020","unstructured":"Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, Aruna Balasubramanian, and Samir R. Das. 2020. Streaming 360-degree videos using super-resolution. In INFOCOM, 1977\u20131986.","journal-title":"INFOCOM"},{"key":"e_1_3_2_12_2","first-page":"404","article-title":"Hybrid cubemap projection format for 360-degree video coding","author":"Duanmu Fanyi","year":"2018","unstructured":"Fanyi Duanmu, Yuwen He, Xiaoyu Xiu, Philippe Hanhart, Yan Ye, and Yao Wang. 2018. Hybrid cubemap projection format for 360-degree video coding. In DCC, 404\u2013404.","journal-title":"DCC"},{"key":"e_1_3_2_13_2","first-page":"67","article-title":"Fixation prediction for 360\u00b0 video streaming in head-mounted virtual reality","author":"Fan Ching-Ling","year":"2017","unstructured":"Ching-Ling Fan, Jean Lee, Wen-Chih Lo, Chun-Ying Huang, Kuan-Ta Chen, and Cheng-Hsin Hsu. 2017. Fixation prediction for 360\u00b0 video streaming in head-mounted virtual reality. In NOSSDAV, 67\u201372.","journal-title":"NOSSDAV"},{"doi-asserted-by":"publisher","key":"e_1_3_2_14_2","DOI":"10.1145\/3329119"},{"key":"e_1_3_2_15_2","first-page":"1440","article-title":"Fast R-CNN","author":"Girshick Ross","year":"2015","unstructured":"Ross Girshick. 2015. Fast R-CNN. In ICCV, 1440\u20131448.","journal-title":"ICCV"},{"key":"e_1_3_2_16_2","first-page":"580","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"Girshick Ross","year":"2014","unstructured":"Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 580\u2013587.","journal-title":"CVPR"},{"key":"e_1_3_2_17_2","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/978-3-642-79824-5_13","volume-title":"Geodetic Theory Today: 3rd Hotine-Marussi Symposium on Mathematical Geodesy","author":"Grafarend E.","year":"1995","unstructured":"E. Grafarend. 1995. The optimal universal transverse Mercator projection. In Geodetic Theory Today: 3rd Hotine-Marussi Symposium on Mathematical Geodesy. Springer, 51\u201351."},{"key":"e_1_3_2_18_2","first-page":"1","article-title":"VPPlus: Exploring the potentials of video processing for live video analytics at the edge","author":"Guo Junpeng","year":"2022","unstructured":"Junpeng Guo, Shengqing Xia, and Chunyi Peng. 2022. VPPlus: Exploring the potentials of video processing for live video analytics at the edge. In IWQoS, 1\u201311.","journal-title":"IWQoS,"},{"doi-asserted-by":"publisher","key":"e_1_3_2_19_2","DOI":"10.1109\/TPAMI.2015.2389824"},{"unstructured":"Yuwen He and The JVET team. 2021. 360Lib: Add-on library for handling 360 degree panoramic projection formats. Retrieved 4 July 2024 from https:\/\/vcgit.hhi.fraunhofer.de\/jvet\/360lib","key":"e_1_3_2_20_2"},{"key":"e_1_3_2_21_2","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/ISM.2016.0028","article-title":"Adaptive 360 VR video streaming: Divide and conquer","author":"Hosseini Mohammad","year":"2016","unstructured":"Mohammad Hosseini and Viswanathan Swaminathan. 2016. Adaptive 360 VR video streaming: Divide and conquer. In Proceedings of the 2016 IEEE International Symposium on Multimedia (ISM \u201920). IEEE, 107\u2013110.","journal-title":"Proceedings of the 2016 IEEE International Symposium on Multimedia (ISM \u201920)."},{"key":"e_1_3_2_22_2","first-page":"1","article-title":"Quantum neural network compression","author":"Hu Zhirui","year":"2022","unstructured":"Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, and Weiwen Jiang. 2022. Quantum neural network compression. In ICCAD, 1\u20139.","journal-title":"ICCAD"},{"key":"e_1_3_2_23_2","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/VR.2017.7892229","article-title":"6-DOF VR videos with a single 360-camera","author":"Huang Jingwei","year":"2017","unstructured":"Jingwei Huang, Zhili Chen, Duygu Ceylan, and Hailin Jin. 2017. 6-DOF VR videos with a single 360-camera. In Proceedings of the 2017 IEEE Virtual Reality (VR \u201917). IEEE, 37\u201344.","journal-title":"Proceedings of the 2017 IEEE Virtual Reality (VR \u201917)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_24_2","DOI":"10.1109\/34.24786"},{"key":"e_1_3_2_25_2","first-page":"253","article-title":"Chameleon: Scalable adaptation of video analytics","author":"Jiang Junchen","year":"2018","unstructured":"Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodik, Siddhartha Sen, and Ion Stoica. 2018. Chameleon: Scalable adaptation of video analytics. In SIGCOMM, 253\u2013266.","journal-title":"SIGCOMM"},{"key":"e_1_3_2_26_2","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1145\/3506860.3506878","article-title":"A comparison of learning analytics frameworks: A systematic review","author":"Khalil Mohammad","year":"2022","unstructured":"Mohammad Khalil, Paul Prinsloo, and Sharon Slade. 2022. A comparison of learning analytics frameworks: A systematic review. In Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK \u201922), 152\u2013163.","journal-title":"Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK \u201922)"},{"doi-asserted-by":"publisher","key":"e_1_3_2_27_2","DOI":"10.1145\/3581783.3611770"},{"key":"e_1_3_2_28_2","first-page":"8","article-title":"Latency-aware 360-degree video analytics framework for first responders situational awareness","author":"Li Jiaxi","year":"2023","unstructured":"Jiaxi Li, Jingwei Liao, Bo Chen, Anh Nguyen, Aditi Tiwari, Qian Zhou, Zhisheng Yan, and Klara Nahrstedt. 2023. Latency-aware 360-degree video analytics framework for first responders situational awareness. In NOSSDAV, 8\u201314.","journal-title":"NOSSDAV"},{"key":"e_1_3_2_29_2","first-page":"359","article-title":"Reducto: On-camera filtering for resource-efficient real-time video analytics","author":"Li Yuanqi","year":"2020","unstructured":"Yuanqi Li, Arthi Padmanabhan, Pengzhan Zhao, Yufei Wang, Guoqing Harry Xu, and Ravi Netravali. 2020. Reducto: On-camera filtering for resource-efficient real-time video analytics. In SIGCOMM, 359\u2013376.","journal-title":"SIGCOMM"},{"key":"e_1_3_2_30_2","first-page":"704","article-title":"Shadow detection via predicting the confidence maps of shadow detection methods","author":"Liao Jingwei","year":"2021","unstructured":"Jingwei Liao, Yanli Liu, Guanyu Xing, Housheng Wei, Jueyu Chen, and Songhua Xu. 2021. Shadow detection via predicting the confidence maps of shadow detection methods. In MM, 704\u2013712.","journal-title":"MM"},{"doi-asserted-by":"publisher","unstructured":"Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick and Piotr Doll\u00e1r. 2015. Microsoft COCO: Common objects in context. arXiv:1405.0312. Retrieved from 10.48550\/arXiv.1405.0312","key":"e_1_3_2_31_2","DOI":"10.48550\/arXiv.1405.0312"},{"key":"e_1_3_2_32_2","first-page":"936","article-title":"Feature pyramid networks for object detection","author":"Lin Tsung-Yi","year":"2017","unstructured":"Tsung-Yi Lin, Piotr Doll\u00e1r, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. 2017. Feature pyramid networks for object detection. In CVPR, 936\u2013944.","journal-title":"CVPR"},{"key":"e_1_3_2_33_2","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139171366","volume-title":"Stereographic Projection Techniques for Geologists and Civil Engineers","author":"Lisle Richard J.","year":"2004","unstructured":"Richard J. Lisle and Peter R. Leyshon. 2004. Stereographic Projection Techniques for Geologists and Civil Engineers. Cambridge University Press."},{"key":"e_1_3_2_34_2","first-page":"16 pages","volume-title":"Proceedings of the 25th Annual International Conference on Mobile Computing and Networking","author":"Liu Luyang","year":"2019","unstructured":"Luyang Liu, Hongyu Li, and Marco Gruteser. 2019. Edge assisted real-time object detection for mobile augmented reality. In Proceedings of the 25th Annual International Conference on Mobile Computing and Networking. Article 25, 16 pages."},{"doi-asserted-by":"publisher","key":"e_1_3_2_35_2","DOI":"10.1145\/3213344.3213345"},{"doi-asserted-by":"publisher","key":"e_1_3_2_36_2","DOI":"10.1145\/3503161.3548033"},{"key":"e_1_3_2_37_2","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"Liu Wei","year":"2016","unstructured":"Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg. 2016. SSD: Single shot multibox detector. In ECCV, 21\u201337.","journal-title":"ECCV"},{"doi-asserted-by":"publisher","key":"e_1_3_2_38_2","DOI":"10.1109\/TC.2023.3275094"},{"issue":"3","key":"e_1_3_2_39_2","doi-asserted-by":"crossref","first-page":"424","DOI":"10.2307\/210384","article-title":"Notes on cylindrical world map projections","volume":"32","author":"Miller Osborn Maitland","year":"1942","unstructured":"Osborn Maitland Miller. 1942. Notes on cylindrical world map projections. Geographical Review 32, 3 (1942), 424\u2013430.","journal-title":"Geographical Review"},{"issue":"4","key":"e_1_3_2_40_2","first-page":"196","article-title":"An equi-rectangular map projection","volume":"34","author":"Miller Ronald","year":"1949","unstructured":"Ronald Miller. 1949. An equi-rectangular map projection. Geography 34, 4 (1949), 196\u2013201.","journal-title":"Geography"},{"key":"e_1_3_2_41_2","article-title":"Transverse mercator projections and us geological survey digital products","author":"Moore Laurence","year":"1997","unstructured":"Laurence Moore. 1997. Transverse mercator projections and us geological survey digital products. US Geological Survey, Professional Paper.","journal-title":"US Geological Survey, Professional Paper"},{"key":"e_1_3_2_42_2","first-page":"6 pages","article-title":"Equisolid fisheye stereovision calibration and point cloud computation","author":"Moreau Julien","year":"2013","unstructured":"Julien Moreau, S\u00e9bastien Ambellouis, and Yassine Ruichek. 2013. Equisolid fisheye stereovision calibration and point cloud computation. In Proceedings of the ISPRS-SSG 2013, Conference on Serving Society with Geoinformatics, 6 pages.","journal-title":"Proceedings of the ISPRS-SSG 2013, Conference on Serving Society with Geoinformatics"},{"doi-asserted-by":"publisher","key":"e_1_3_2_43_2","DOI":"10.3390\/s23084016"},{"unstructured":"OpenCV. 2023. Canny Edge Detection. Retrieved 14 June 2024 from https:\/\/docs.opencv.org\/4.x\/da\/d22\/tutorial_py_canny.html","key":"e_1_3_2_44_2"},{"key":"e_1_3_2_45_2","first-page":"99","article-title":"Real-time object detection in 360-degree videos","author":"Park Jounsup","year":"2021","unstructured":"Jounsup Park. 2021. Real-time object detection in 360-degree videos. In Real-Time Image Processing and Deep Learning 2021, 99\u2013114.","journal-title":"Real-Time Image Processing and Deep Learning 2021"},{"key":"e_1_3_2_46_2","first-page":"1421","article-title":"DeepDecision: A mobile deep learning framework for edge video analytics","author":"Ran Xukan","year":"2018","unstructured":"Xukan Ran, Haolianz Chen, Xiaodan Zhu, Zhenming Liu, and Jiasi Chen. 2018. DeepDecision: A mobile deep learning framework for edge video analytics. In INFOCOM, 1421\u20131429.","journal-title":"INFOCOM"},{"key":"e_1_3_2_47_2","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"Redmon Joseph","year":"2016","unstructured":"Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2016. You only look once: Unified, real-time object detection. In CVPR, 779\u2013788.","journal-title":"CVPR"},{"key":"e_1_3_2_48_2","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"28","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster R-CNN: Towards real-time object detection with region proposal networks. NeurIPS 28 (2015), 91\u201399.","journal-title":"NeurIPS"},{"key":"e_1_3_2_49_2","first-page":"13","article-title":"A 360-degree video analytics service for in-classroom firefighter training","author":"Sarkar Ayush","year":"2022","unstructured":"Ayush Sarkar, Anh Nguyen, Zhisheng Yan, and Klara Nahrstedt. 2022. A 360-degree video analytics service for in-classroom firefighter training. In CPS-ER, 13\u201318.","journal-title":"CPS-ER"},{"key":"e_1_3_2_50_2","volume-title":"Proceedings of the 2nd Panoramic Photogrammetry Workshop, International Archives of Photogrammetry and Remote Sensing","volume":"36","author":"Schwalbe Ellen","year":"2005","unstructured":"Ellen Schwalbe. 2005. Geometric modelling and calibration of fisheye lens camera systems. In Proceedings of the 2nd Panoramic Photogrammetry Workshop, International Archives of Photogrammetry and Remote Sensing, Vol. 36. Citeseer, W8."},{"issue":"2","key":"e_1_3_2_51_2","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1111\/0033-0124.00327","article-title":"The sinusoidal projection: A new importance in relation to global image data","volume":"54","author":"Seong Jeong Chang","year":"2002","unstructured":"Jeong Chang Seong, Karen A. Mulcahy, and E. Lynn Usery. 2002. The sinusoidal projection: A new importance in relation to global image data. The Professional Geographer 54, 2 (2002), 218\u2013225.","journal-title":"The Professional Geographer"},{"key":"e_1_3_2_52_2","first-page":"9","article-title":"Pannini: A new projection for renderingwide angle perspective images.","author":"Sharpless Thomas K.","year":"2010","unstructured":"Thomas K. Sharpless, Bruno Postle, and Daniel M. German. 2010. Pannini: A new projection for renderingwide angle perspective images. In CAe, 9\u201316.","journal-title":"CAe"},{"doi-asserted-by":"publisher","key":"e_1_3_2_53_2","DOI":"10.1016\/j.compeleceng.2018.10.002"},{"issue":"3","key":"e_1_3_2_54_2","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1559\/152304086783899908","article-title":"The Miller oblated stereographic projection for Africa, Europe, Asia and Australasia","volume":"13","author":"Sprinsky William H.","year":"1986","unstructured":"William H. Sprinsky and John P. Snyder. 1986. The Miller oblated stereographic projection for Africa, Europe, Asia and Australasia. The American Cartographer 13, 3 (1986), 253\u2013261.","journal-title":"The American Cartographer"},{"key":"e_1_3_2_55_2","first-page":"529","article-title":"Learning spherical convolution for fast features from 360 imagery","volume":"30","author":"Su Yu-Chuan","year":"2017","unstructured":"Yu-Chuan Su and Kristen Grauman. 2017. Learning spherical convolution for fast features from 360 imagery. NeurIPS 30 (2017), 529\u2013539.","journal-title":"NeurIPS"},{"doi-asserted-by":"publisher","key":"e_1_3_2_56_2","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"e_1_3_2_57_2","first-page":"1","article-title":"Tile-based panoramic live video streaming on ICN","author":"Tagami Atsushi","year":"2019","unstructured":"Atsushi Tagami, Kazuaki Ueda, Rikisenia Lukita, Jacopo De Benedetto, Mayutan Arumaithurai, Giulio Rossi, Andrea Detti, and Toru Hasegaw. 2019. Tile-based panoramic live video streaming on ICN. In ICC Workshops, 1\u20136.","journal-title":"ICC Workshops"},{"key":"e_1_3_2_58_2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1029\/JB078i011p01753","article-title":"The hyperelliptical and other new pseudo cylindrical equal area map projections","volume":"78","author":"Tobler W. R.","year":"1973","unstructured":"W. R. Tobler. 1973. The hyperelliptical and other new pseudo cylindrical equal area map projections. Journal of Geophysical Research 78, 11 (1973), 1753\u20131759.","journal-title":"Journal of Geophysical Research"},{"key":"e_1_3_2_59_2","first-page":"462","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Wang Fu-En","year":"2020","unstructured":"Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, and Yi-Hsuan Tsai. 2020. Bifuse: Monocular 360 depth estimation via bi-projection fusion. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 462\u2013471."},{"doi-asserted-by":"publisher","key":"e_1_3_2_60_2","DOI":"10.1109\/JSAC.2022.3221995"},{"key":"e_1_3_2_61_2","first-page":"3642","article-title":"Object detection in curved space for 360-degree camera","author":"Wang Kuan-Hsun","year":"2019","unstructured":"Kuan-Hsun Wang and Shang-Hong Lai. 2019. Object detection in curved space for 360-degree camera. In ICASSP, 3642\u20133646.","journal-title":"ICASSP"},{"doi-asserted-by":"publisher","key":"e_1_3_2_62_2","DOI":"10.1109\/JSAC.2022.3180801"},{"key":"e_1_3_2_63_2","first-page":"1","article-title":"EdgeDuet: Tiling small object detection for edge assisted autonomous mobile vision","author":"Wang Xu","year":"2021","unstructured":"Xu Wang, Zheng Yang, Jiahang Wu, Yi Zhao, and Zimu Zhou. 2021. EdgeDuet: Tiling small object detection for edge assisted autonomous mobile vision. In INFOCOM, 1\u201310.","journal-title":"INFOCOM"},{"doi-asserted-by":"publisher","key":"e_1_3_2_64_2","DOI":"10.1109\/JIOT.2022.3224750"},{"key":"e_1_3_2_65_2","first-page":"315","article-title":"360ProbDASH: Improving QoE of 360 video streaming using tile-based HTTP adaptive streaming","author":"Xie Lan","year":"2017","unstructured":"Lan Xie, Zhimin Xu, Yixuan Ban, Xinggong Zhang, and Zongming Guo. 2017. 360ProbDASH: Improving QoE of 360 video streaming using tile-based HTTP adaptive streaming. In MM, 315\u2013323.","journal-title":"MM"},{"doi-asserted-by":"publisher","key":"e_1_3_2_66_2","DOI":"10.1109\/JSTSP.2020.2966864"},{"doi-asserted-by":"publisher","key":"e_1_3_2_67_2","DOI":"10.3390\/s22166001"},{"doi-asserted-by":"publisher","unstructured":"Junhuan Yang Yi Sheng Sizhe Zhang Ruixuan Wang Kenneth Foreman Mikell Paige Xun Jiao Weiwen Jiang and Lei Yang. 2022. Automated architecture search for brain-inspired hyperdimensional computing. arXiv:2202.05827. Retrieved from 10.48550\/arXiv.2202.05827","key":"e_1_3_2_68_2","DOI":"10.48550\/arXiv.2202.05827"},{"doi-asserted-by":"publisher","unstructured":"Junhuan Yang Yi Sheng Yuzhou Zhang Weiwen Jiang and Lei Yang. 2023. On-device unsupervised image segmentation. arXiv:2303.12753. Retrieved from 10.48550\/arXiv.2303.12753","key":"e_1_3_2_69_2","DOI":"10.48550\/arXiv.2303.12753"},{"doi-asserted-by":"publisher","key":"e_1_3_2_70_2","DOI":"10.1109\/TII.2019.2949347"},{"key":"e_1_3_2_71_2","first-page":"2190","article-title":"Object detection in equirectangular panorama","author":"Yang Wenyan","year":"2018","unstructured":"Wenyan Yang, Yanlin Qian, Joni-Kristian K\u00e4m\u00e4r\u00e4inen, Francesco Cricri, and Lixin Fan. 2018. Object detection in equirectangular panorama. In ICPR. IEEE, 2190\u20132195.","journal-title":"ICPR"},{"doi-asserted-by":"publisher","key":"e_1_3_2_72_2","DOI":"10.1109\/COMST.2020.3006999"},{"key":"e_1_3_2_73_2","first-page":"1","article-title":"Lavea: Latency-aware video analytics on edge computing platform","author":"Yi Shanhe","year":"2017","unstructured":"Shanhe Yi, Zijiang Hao, Qingyang Zhang, Quan Zhang, Weisong Shi, and Qun Li. 2017. Lavea: Latency-aware video analytics on edge computing platform. In SEC, 1\u201313.","journal-title":"SEC"},{"key":"e_1_3_2_74_2","first-page":"11","article-title":"Grid based spherical cnn for object detection from panoramic images","volume":"19","author":"Yu Dawen","year":"2019","unstructured":"Dawen Yu and Shunping Ji. 2019. Grid based spherical cnn for object detection from panoramic images. Sensors 19, 11 (2019), 2622.","journal-title":"Sensors"},{"doi-asserted-by":"publisher","unstructured":"Tingting Yuan Liang Mi Weijun Wang Haipeng Dai and Xiaoming Fu. 2023. AccDecoder: Accelerated decoding for neural-enhanced video analytics. arXiv:2301.08664. Retrieved from 10.48550\/arXiv.2301.08664","key":"e_1_3_2_75_2","DOI":"10.48550\/arXiv.2301.08664"},{"key":"e_1_3_2_76_2","first-page":"1","article-title":"HEVC-compliant viewport-adaptive streaming of stereoscopic panoramic video","author":"Zare Alireza","year":"2016","unstructured":"Alireza Zare, Kashyap Kammachi Sreedhar, Vinod Kumar Malamal Vadakital, Alireza Aminlou, Miska M. Hannuksela, and Moncef Gabbouj. 2016. HEVC-compliant viewport-adaptive streaming of stereoscopic panoramic video. In PCS, 1\u20135.","journal-title":"PCS"},{"key":"e_1_3_2_77_2","first-page":"1432","article-title":"Virtual reality content streaming: Viewport-dependent projection and tile-based techniques","author":"Zare Alireza","year":"2017","unstructured":"Alireza Zare, Alireza Aminlou, and Miska M. Hannuksela. 2017. Virtual reality content streaming: Viewport-dependent projection and tile-based techniques. In ICIP, 1432\u20131436.","journal-title":"ICIP"},{"key":"e_1_3_2_78_2","first-page":"2168","article-title":"CASVA: Configuration-adaptive streaming for live video analytics","author":"Zhang Miao","year":"2022","unstructured":"Miao Zhang, Fangxin Wang, and Jiangchuan Liu. 2022. CASVA: Configuration-adaptive streaming for live video analytics. In INFOCOM, 2168\u20132177.","journal-title":"INFOCOM"},{"key":"e_1_3_2_79_2","first-page":"1","article-title":"OmniSense: Towards edge-assisted online analytics for 360-degree videos","author":"Zhang Miao","year":"2023","unstructured":"Miao Zhang, Yifei Zhu, Linfeng Shen, Fangxin Wang, and Jiangchuan Liu. 2023. OmniSense: Towards edge-assisted online analytics for 360-degree videos. In INFOCOM, 1\u201310.","journal-title":"INFOCOM"},{"key":"e_1_3_2_80_2","first-page":"1","article-title":"Owl: A pre-and post-processing framework for video analytics in low-light surroundings","author":"Zhang Rui-Xiao","year":"2023","unstructured":"Rui-Xiao Zhang, Chaoyang Li, Chenglei Wu, Tianchi Huang, and Lifeng Sun. 2023. Owl: A pre-and post-processing framework for video analytics in low-light surroundings. In INFOCOM, 1\u201310.","journal-title":"INFOCOM"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3694685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:45:04Z","timestamp":1757619904000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3694685"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,11]]},"references-count":79,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9,30]]}},"alternative-id":["10.1145\/3694685"],"URL":"https:\/\/doi.org\/10.1145\/3694685","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"type":"print","value":"1551-6857"},{"type":"electronic","value":"1551-6865"}],"subject":[],"published":{"date-parts":[[2025,9,11]]},"assertion":[{"value":"2024-01-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-19","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-09-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}