{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T06:03:19Z","timestamp":1773208999724,"version":"3.50.1"},"reference-count":180,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3561063","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T17:38:02Z","timestamp":1744738682000},"page":"75822-75846","source":"Crossref","is-referenced-by-count":4,"title":["A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs)"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4304-4113","authenticated-orcid":false,"given":"Kholidiyah","family":"Masykuroh","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"}]},{"family":"Hendrawan","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"}]},{"given":"Eueung","family":"Mulyana","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"}]},{"given":"Farhan","family":"Krishna","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2023.3323091"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3307334.3328589"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3059994"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s21134589"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3357223.3362725"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3077313"},{"key":"ref7","article-title":"Literature review: Computer vision applications in transportation logistics and warehousing","author":"Naumann","year":"2023","journal-title":"arXiv:2304.06009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230554"},{"key":"ref9","article-title":"A serverless cloud-fog platform for DNN-based video analytics with incremental learning","author":"Zhang","year":"2021","journal-title":"arXiv:2102.03012"},{"issue":"3","key":"ref10","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1109\/COMST.2017.2685630","article-title":"A survey of rate adaptation techniques for dynamic adaptive streaming over HTTP","volume":"19","author":"Kua","year":"2017","journal-title":"IEEE Commun. Surveys Tuts."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10172155"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CloudNet.2018.8549180"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3453142.3491272"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/cloud.2012.141"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.6317"},{"key":"ref16","article-title":"Pythia: Scheduling of concurrent network packet processing applications on heterogeneous devices","author":"Giakoumakis","year":"2022","journal-title":"arXiv:2201.01584"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3184899"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ipdpsw.2012.213"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/milcom.2018.8599750"},{"key":"ref20","article-title":"Video big data analytics in the cloud: Research issues and challenges","author":"Alam","year":"2020","journal-title":"arXiv:2011.02694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.12694\/scpe.v21i3.1764"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2017.2653116"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/surv.2011.082911.00067"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3664652"},{"key":"ref25","article-title":"GEMEL: Model merging for memory-efficient, real-time video analytics at the edge","author":"Padmanabhan","year":"2022","journal-title":"arXiv:2201.07705"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3004571"},{"key":"ref27","article-title":"DVC: An end-to-end deep video compression framework","author":"Lu","year":"2018","journal-title":"arXiv:1812. 00101"},{"key":"ref28","article-title":"RCLC: ROI-based joint conventional and learning video compression","author":"Man Hoang","year":"2021","journal-title":"arXiv:2107.06492"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IICAIET59451.2023.10291646"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2022.3222418"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2012.2221191"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ssiai.2018.8470354"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/iccvw.2019.00129"},{"issue":"4","key":"ref34","first-page":"1371","article-title":"Deep learning and video compression: Trade-offs and challenges","volume":"22","author":"Li","year":"2020","journal-title":"IEEE Trans. Multimedia"},{"key":"ref35","article-title":"On the impact of lossy image and video compression on the performance of deep convolutional neural network architectures","author":"Poyser","year":"2020","journal-title":"arXiv:2007.14314"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3524273.3532906"},{"issue":"2","key":"ref37","first-page":"167","article-title":"Advances in HEVC and beyond","volume":"9","author":"Luthra","year":"2015","journal-title":"IEEE J. Sel. Topics Signal Process."},{"key":"ref38","first-page":"233","article-title":"Scalable video coding for high-accuracy object detection","volume-title":"Video Coding Advances","author":"Chen","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ism.2016.0032"},{"issue":"1","key":"ref40","first-page":"1","article-title":"Perceptual video quality assessment for video analytics applications","volume":"53","author":"Wang","year":"2021","journal-title":"ACM Comput. Surv."},{"key":"ref41","first-page":"1809","article-title":"Learning-based video compression for real-time video analytics","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Nguyen"},{"issue":"3","key":"ref42","first-page":"1521","article-title":"Dynamic optimization techniques for video analytics in edge-cloud architectures","volume":"8","author":"Zhang","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s21124045"},{"key":"ref44","article-title":"Reinventing video streaming for distributed vision analytics","volume-title":"Proc. 10th USENIX Workshop Hot Topics Cloud Comput. (HotCloud)","author":"Pakha"},{"key":"ref45","article-title":"Streaming video analytics on the edge with asynchronous cloud support","author":"Ghosh","year":"2022","journal-title":"arXiv:2210.01402"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405887"},{"issue":"2","key":"ref47","first-page":"1","article-title":"Ekya: Continuous learning of video analytics models on edge compute servers","volume":"6","author":"Bhardwaj","year":"2022","journal-title":"Proc. ACM Interact., Mobile, Wearable Ubiquitous Technol."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10393957"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12259"},{"key":"ref50","article-title":"Content-aware personalised rate adaptation for adaptive streaming via deep video analysis","author":"Gao","year":"2018","journal-title":"arXiv:1811.06663"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/iscas.2018.8351785"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP53242.2021.9675350"},{"key":"ref53","article-title":"DeepStream: Bandwidth efficient multi-camera video streaming for deep learning analytics","author":"Guo","year":"2023","journal-title":"arXiv:2306.15129"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00432"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ism.2011.38"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/icip46576.2022.9897912"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/csci.2016.0080"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2020.3016485"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2016.2519502"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.12.065"},{"issue":"5","key":"ref61","first-page":"36","article-title":"Edge video analytics for smart city applications: Challenges and opportunities","volume":"59","author":"Zhang","year":"2021","journal-title":"IEEE Commun. Mag."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.23919\/jcn.2021.000009"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2022.3206273"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2024.3400820"},{"issue":"1","key":"ref65","first-page":"1","article-title":"Fog computing platforms for smart city applications: A survey","volume":"54","author":"Aazam","year":"2022","journal-title":"ACM Comput. Surv."},{"key":"ref66","article-title":"Deep learned frame prediction for video compression","author":"Sulun","year":"2018","journal-title":"arXiv:1811.10946"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/cit.2017.26"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2014.6979968"},{"key":"ref69","article-title":"Fast and resource-efficient object tracking on edge devices: A measurement study","author":"Vijay Ganesh","year":"2023","journal-title":"arXiv:2309.02666"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/mc.2017.3641638"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ngct.2016.7877503"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2016.2602099"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/jetcas.2013.2242771"},{"key":"ref74","article-title":"Utility-aware load shedding for real-time video analytics at the edge","author":"Saurez","year":"2023","journal-title":"arXiv:2307.02409"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2019.2936504"},{"key":"ref76","article-title":"To compress or not to compress: Processing vs transmission tradeoffs for energy constrained sensor networking","author":"Zordan","year":"2012","journal-title":"arXiv:1206.2129"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2011.174"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/icc.2019.8761789"},{"key":"ref79","article-title":"Compression and acceleration of neural networks for communications","author":"Guo","year":"2019","journal-title":"arXiv:1907.13269"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358298"},{"issue":"10","key":"ref81","first-page":"2596","article-title":"Impact of video compression on deep learning-based object detection","volume":"22","author":"Wang","year":"2020","journal-title":"IEEE Trans. Multimedia"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2019.2891415"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3390\/s22031104"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS48785.2022.9937612"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018803"},{"key":"ref86","article-title":"Multi-object tracking with Siamese track-RCNN","author":"Shuai","year":"2020","journal-title":"arXiv:2004.07786"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ISC255366.2022.9921939"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10436797"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2013.101"},{"key":"ref90","article-title":"Recent advances in rate control: From optimisation to implementation and beyond","author":"Wei","year":"2022","journal-title":"arXiv:2205.10815"},{"issue":"3","key":"ref91","first-page":"72","article-title":"Edge-assisted adaptive video streaming with deep learning in 5G networks","volume":"26","author":"He","year":"2019","journal-title":"IEEE Wireless Commun."},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9898041"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/dcc58796.2024.00088"},{"key":"ref94","article-title":"Deep learning-based real-time quality control of standard video compression for live streaming","author":"Mortaheb","year":"2023","journal-title":"arXiv:2311.12918"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/icme.2014.6890223"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1002\/etc.5434"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.128"},{"key":"ref98","article-title":"Mobile video object detection with temporally-aware feature maps","author":"Liu","year":"2017","journal-title":"arXiv:1711.06368"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging9070132"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2017.8167775"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00815"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2004.10934"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00051"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/wcsp.2015.7341293"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/wacv51458.2022.00138"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/ism.2013.64"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.3390\/s20123591"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01943-2"},{"key":"ref109","article-title":"Speed\/accuracy trade-offs for modern convolutional object detectors","author":"Huang","year":"2016","journal-title":"arXiv:1611.10012"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00066"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_27"},{"key":"ref112","article-title":"Exploring the rate-distortion-complexity optimization in neural image compression","author":"Gao","year":"2023","journal-title":"arXiv:2305.07678"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/tci.2017.2783686"},{"key":"ref114","article-title":"Entropy conserving binarization scheme for video and image compression","author":"Srivastava","year":"2014","journal-title":"arXiv:1408.3083"},{"key":"ref115","article-title":"Generative compression","author":"Santurkar","year":"2017","journal-title":"arXiv:1703.01467"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/dcc.2017.42"},{"key":"ref117","article-title":"Asymmetric numeral systems: Entropy coding combining speed of Huffman coding with compression rate of arithmetic coding","author":"Duda","year":"2013","journal-title":"arXiv:1311.2540"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/aspdac.2014.6742961"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/mmul.2012.29"},{"key":"ref120","article-title":"Real-world community-in-the-loop smart video surveillance\u2014A case study at a community college","author":"Yao","year":"2023","journal-title":"arXiv:2303.12934"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.36501\/0197-9191\/22-018"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57328-7_12"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8891449"},{"key":"ref124","article-title":"Edge-based video analytics: A survey","author":"Hu","year":"2023","journal-title":"arXiv:2303.14329"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790123"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809711"},{"key":"ref127","article-title":"Bridging the edge-cloud barrier for real-time advanced vision analytics","volume-title":"Proc. 11th USENIX Workshop Hot Topics Cloud Comput. (HotCloud)","author":"Wang"},{"issue":"11","key":"ref128","first-page":"2595","article-title":"EAAR: Edge-assisted augmented reality for efficient and scalable video analytics","volume":"19","author":"Ma","year":"2020","journal-title":"IEEE Trans. Mobile Comput."},{"key":"ref129","article-title":"AccMPEG: Optimizing video encoding for video analytics","author":"Du","year":"2022","journal-title":"arXiv:2204.12534"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2003.815165"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00713"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06895-4_8"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2023.3302858"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/icspcc.2018.8567817"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191169"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/tbc.2016.2570022"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/icip.2017.8296290"},{"key":"ref138","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4302-6713-3","volume-title":"Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis","author":"Akramullah","year":"2014"},{"key":"ref139","article-title":"One transform to compute them all: Efficient fusion-based full-reference video quality assessment","author":"Venkataramanan","year":"2023","journal-title":"arXiv:2304.03412"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2017.09.004"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230574"},{"key":"ref142","first-page":"119","article-title":"Ekya: Continuous learning of video analytics models on edge compute servers","volume-title":"Proc. 19th USENIX Symp. Networked Syst. Design Implement. (NSDI)","author":"Bhardwaj"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/sec54971.2022.00020"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2022.3221995"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2022.3193630"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1145\/3576842.3582385"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/smc53992.2023.10393957"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/332\/4\/042037"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/acdt.2017.7886164"},{"key":"ref150","article-title":"A detailed comparative study of open source deep learning frameworks","author":"Al-Bdour","year":"2019","journal-title":"arXiv:1903.00102"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2022.3221877"},{"key":"ref152","volume-title":"H.264 Video Encoding Guide","year":"2024"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/icnisc.2016.049"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"issue":"4","key":"ref155","first-page":"23","article-title":"Adaptive video streaming under bandwidth constraints","volume":"15","author":"Xu","year":"2019","journal-title":"ACM Trans. Multimedia Comput., Commun., Appl."},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102532"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1145\/1943552.1943572"},{"issue":"5","key":"ref158","first-page":"98","article-title":"Bitrate adaptation in video streaming: Challenges and opportunities","volume":"58","author":"Timmerer","year":"2020","journal-title":"IEEE Commun. Mag."},{"issue":"3","key":"ref159","article-title":"Challenges in adaptive video streaming for real-time analytics","volume":"15","author":"Liu","year":"2019","journal-title":"ACM Trans. Multimedia Comput."},{"issue":"2","key":"ref160","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/TCSVT.2019.2892608","article-title":"Deep learning for video compression","volume":"30","author":"Wang","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"7","key":"ref161","first-page":"1761","article-title":"DNN-driven adaptive video compression for real-time video analytics","volume":"22","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Multimedia"},{"issue":"5","key":"ref162","first-page":"68","article-title":"Reinforcement learning for adaptive video streaming: A survey","volume":"52","author":"He","year":"2020","journal-title":"ACM Comput. Surv."},{"issue":"4","key":"ref163","first-page":"897","article-title":"Adaptive video compression for real-time analytics: A comprehensive review","volume":"23","author":"Wang","year":"2021","journal-title":"IEEE Trans. Multimedia"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2016.2579198"},{"issue":"6","key":"ref165","doi-asserted-by":"crossref","first-page":"1450","DOI":"10.1109\/TMM.2018.2884478","article-title":"Video compression optimization in edge computing environments","volume":"23","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Multimedia"},{"issue":"3","key":"ref166","article-title":"Distributed video analytics frameworks for edge computing","volume":"16","author":"Liu","year":"2020","journal-title":"ACM Trans. Multimedia Comput., Commun., Appl."},{"issue":"7","key":"ref167","first-page":"1294","article-title":"Hybrid techniques for video compression and analytics","volume":"23","author":"Singh","year":"2021","journal-title":"IEEE Trans. Multimedia"},{"issue":"5","key":"ref168","first-page":"3458","article-title":"Adaptive hybrid video compression framework for real-time analytics","volume":"9","author":"Wang","year":"2022","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"ref169","first-page":"1","article-title":"Integrating H.265, DNN, and ABR for optimized video streaming","volume":"16","author":"Patel","year":"2020","journal-title":"ACM Trans. Multimedia Comput., Commun., Appl."},{"key":"ref170","volume-title":"Video Object Detections Datasets","author":"Masykuroh","year":"2024"},{"key":"ref171","volume-title":"H264","author":"Zhang","year":"2022"},{"key":"ref172","volume-title":"AccMPEG","author":"Du","year":"2022"},{"key":"ref173","volume-title":"Detectron2","year":"2024"},{"key":"ref174","volume-title":"Digital Image Processing","author":"Gonzalez","year":"2018"},{"key":"ref175","volume-title":"Digital Video Processing","author":"Tekalp","year":"2015"},{"issue":"6","key":"ref176","first-page":"1204","article-title":"Video coding for traffic monitoring and surveillance","volume":"23","author":"Richardson","year":"2021","journal-title":"IEEE Trans. Multimedia"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2021.3076224"},{"issue":"4","key":"ref178","first-page":"298","article-title":"Challenges and limitations in traffic video analytics using standard datasets","volume":"15","author":"Kim","year":"2022","journal-title":"J. Intell. Transp. Syst."},{"issue":"5","key":"ref179","first-page":"789","article-title":"Simulated vs. real-world testing for video analytics: A comparative study","volume":"23","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Multimedia"},{"issue":"6","key":"ref180","article-title":"Towards generalizable video analytics: A survey on datasets and techniques","volume":"54","author":"Xu","year":"2021","journal-title":"ACM Comput. Surv."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10965634.pdf?arnumber=10965634","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:24:55Z","timestamp":1746591895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10965634\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":180,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3561063","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}