Editor's Note
Autor:
Shu, Lei
; Rodrigues, Joel J.P.C.
; Cohn, Anthony G.
; Mao, Qirong
; Li, Maozhen
Fecha:
09/2022Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://ijimai.org/journal/bibcite/reference/3165![Open Access Open Access](/themes/Mirage2/images/reunir/openaccess.png)
Resumen:
As the Internet of Things (IoT) further develops and expands to the Internet of Everything (IoE), high-speed multimedia streaming data processing, analysis, and shorter response times are increasingly becoming the demands of today. Driven by the Internet of Things (IoT), a new computing paradigm, Edge computing, is currently developing rapidly. Compared with traditional centralized generalpurpose computing, Edge computing is a distributed architecture. The operations of applications, data and services are moved from the central node of the network to the edge nodes on the network logic for processing. Under this structure, the analysis of data and the generation of knowledge are closer to the source of the data, so it is more suitable for processing. However, with the rapid development of 5G, IoT and other services and scenarios, there are more and more intelligent terminal devices. Multimedia streaming processing in IoT becomes a very prominent problem. To overcome this problem, the adoption of intelligent Edge or Artificial Intelligence (AI) powered Edge computing (Edge-AI) can achieve the goals of lower cost, higher security, lower latency, and ease of management.
Recently, many network modeling methods, computing algorithms, and signal processing technologies have been successfully developed and applied to multimedia streaming processing in IoT with Edge Intelligence. A total of 13 papers are presented in this special issue for the purpose of collecting the latest developments and results on this research topic. We divide them into three categories: production and life applications, security, and text and image processing.
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Editors Note
Shu, Lei; Rodrigues, Joel J.P.C.; Cohn, Anthony G.; Mao, Qirong; Li, Maozhen (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)As the Internet of Things (IoT) further develops and expands to the Internet of Everything (IoE), high-speed multimedia streaming data processing, analysis, and shorter response times are increasingly becoming the demands ... -
Discover, Reuse and Share Knowledge on Service Oriented Architectures
Soto Carrión, Jesús; Shu, Lei; Garcia Gordo, Elisa (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)Current Semantic Web frameworks provide a complete infrastructure to manage ontologies schemes easing information retrieval with inference support. Ideally, the use of their frameworks should be transparent and decoupled, ... -
A Method of the Coverage Ratio of Street Trees Based on Deep Learning
Han, Wen; Cao, Lei; Xu, Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)The street trees coverage ratio provides reliable data support for urban ecological environment assessment, which plays an important part in the ecological environment index calculation. Aiming at the statistical estimation ...