Smart City Gnosys

Smart city article details

Title	Artificial Intelligence (Ai) And Machine Learning For Multimedia And Edge Information Processing
ID_Doc	10388
Authors	Seng J.K.P.; Ang K.L.-M.; Peter E.; Mmonyi A.
Year	2022
Published	Electronics (Switzerland), 11, 14
DOI	http://dx.doi.org/10.3390/electronics11142239
Abstract	The advancements and progress in artificial intelligence (AI) and machine learning, and the numerous availabilities of mobile devices and Internet technologies together with the growing focus on multimedia data sources and information processing have led to the emergence of new paradigms for multimedia and edge AI information processing, particularly for urban and smart city environments. Compared to cloud information processing approaches where the data are collected and sent to a centralized server for information processing, the edge information processing paradigm distributes the tasks to multiple devices which are close to the data source. Edge information processing techniques and approaches are well suited to match current technologies for Internet of Things (IoT) and autonomous systems, although there are many challenges which remain to be addressed. The motivation of this paper was to survey these new paradigms for multimedia and edge information processing from several technological perspectives including: (1) multimedia analytics on the edge empowered by AI; (2) multimedia streaming on the intelligent edge; (3) multimedia edge caching and AI; (4) multimedia services for edge AI; and (5) hardware and devices for multimedia on edge intelligence. The review covers a wide spectrum of enabling technologies for AI and machine learning for multimedia and edge information processing. © 2022 by the authors.
Author Keywords	edge AI; edge computing; edge multimedia; edge multimedia analytics; intelligence edge; multimedia processing

Similar Articles

Id	Similarity	Authors	Title	Published
10473	0.945	Xavier Savarimuthu S.J.; Subramani S.; Raj A.N.J.	Artificial Intelligence For Multimedia Information Processing: Tools And Applications	Artificial Intelligence for Multimedia Information Processing: Tools and Applications (2024)
5251	0.889	Hoffpauir K.; Simmons J.; Schmidt N.; Pittala R.; Briggs I.; Makani S.; Jararweh Y.	A Survey On Edge Intelligence And Lightweight Machine Learning Support For Future Applications And Services	Journal of Data and Information Quality, 15, 2 (2023)
40272	0.879	Badidi E.; Moumane K.; Ghazi F.E.	Opportunities, Applications, And Challenges Of Edge-Ai Enabled Video Analytics In Smart Cities: A Systematic Review	IEEE Access, 11 (2023)
21762	0.877	Chandrasekaran S.; Athinarayanan S.; Masthan M.; Kakkar A.; Bhatnagar P.; Samad A.	Edge Computing Revolution: Unleashing Artificial Intelligence Potential In The World Of Edge Intelligence	Edge of Intelligence: Exploring the Frontiers of AI at the Edge (2025)
14842	0.874	Grzesik P.; Mrozek D.	Combining Machine Learning And Edge Computing: Opportunities, Challenges, Platforms, Frameworks, And Use Cases	Electronics (Switzerland), 13, 3 (2024)
21784	0.869	Hou X.-P.; Lan L.; Tao C.-L.; Kou X.-Y.; Cong P.-J.; Deng Q.-X.; Zhou J.-L.	Edge Intelligence And Collaborative Computing: Frontiers And Advances; [边缘智能与协同计算: 前沿与进展]	Kongzhi yu Juece/Control and Decision, 39, 7 (2024)
29699	0.863	Sweety Prasanna Kiruba G.; Esakki Madura E.; Kumar B.V.; Kavitha M.; Reddy T.S.; Athiraja A.	Hybrid Ai-Electronic Systems For Real-Time Edge Processing In Iot Networks	Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025 (2025)
21792	0.86	Chandrasekaran S.; Athinarayanan S.; Masthan M.; Kakkar A.; Bhatnagar P.; Samad A.	Edge Intelligence Paradigm Shift On Optimizing The Edge Intelligence Using Artificial Intelligence State-Of-The-Art Models	Advancing Intelligent Networks Through Distributed Optimization (2024)
43787	0.854	He Q.; Dong Z.; Chen F.; Deng S.; Liang W.; Yang Y.	Pyramid: Enabling Hierarchical Neural Networks With Edge Computing	WWW 2022 - Proceedings of the ACM Web Conference 2022 (2022)
32450	0.851	Parah S.A.; Hurrah N.N.; Khan E.	Intelligent Multimedia Signal Processing For Smart Ecosystems	Intelligent Multimedia Signal Processing for Smart Ecosystems (2023)