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Future Internet
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Multimedia Internet of Things (IoT) in Smart Environment
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Multimedia Internet of Things (IoT) in Smart Environment

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 December 2019) | Viewed by 10042

Special Issue Editor

Prof. Dr. Byung-Gyu Kim

E-Mail Website
Guest Editor
Division of AI Engineering, Sookmyung Women's University, Seoul 04310, Republic of Korea
Interests: deep learning; multimedia processing; visual intelligence; emotion recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) can be defined as the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. Typically, IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and cover a variety of protocols, domains, and applications. The interconnection of these embedded devices (including smart objects) is expected to usher in automation covering all major engineering fields, while also enabling advanced applications such as Smart Grid and Smart Surveillance.

MPEG has already started to investigate standardization activities to define network protocols for the Internet of Things (e.g., how to connect things). The variety and heterogeneity of "Things" make it difficult to standardize descriptions, data formats, and APIs, in a global manner; however, when the environment is well established, this can be done. Therefore, MPEG is exploring representations of multimedia things as part of complex distributed systems implying interactions between things and between humans and things. The multimedia data type elements are corresponding to descriptions of devices and messages for “talking to” and “adapting to” either devices or services in the Internet of Things.

The Multimedia Internet of Things (IoT) is the collection of interfaces, protocols, and associated multimedia-related information representations that enable advanced services and applications based on human to device and device to device interaction in physical and virtual environments. Information refers to data sensed and processed by a device and/or communicated to a human or another device.

Original contributions showing practical approaches are also welcome.

Potential topics include, but are not limited to, the following:

  • Service and system architectures of multimedia-based IoT
  • Interfaces, protocols, and associated multimedia-related information representations in IoT
  • Fast and complexity-awareness algorithms for real-time multimedia computing in IoT
  • Low complexity audio/video encoding in mm-IoT
  • Controlling quality over complexity for each individual Media Thing
  • Real-time, ultra-high quality media compression and storing scheme in IoT
  • The design of hardware structure for low-power, real-time, multimedia-centric IoT service
  • Synchronization technique for video and audio for IoT services
  • Security scheme of video/audio signals for protecting personal information in mm-IoT
  • Structure of camera network management
  • Distributed system for smart applications in IoT
  • Architectural performance evaluation of system
  • Multimedia crowd flow analysis in mm-IoT
  • Big data analysis technique on mm-IoT

Prof. Byung-Gyu Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multimedia-centric service
  • IoT
  • smart technology
  • multimedia data processing
  • real-time processing
  • multimedia security
  • intelligent media technology

Published Papers (2 papers)

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20 pages, 2541 KiB  
Article
Multimedia Independent Multipath Routing Algorithms for Internet of Things Based on a Node Hidden Communication Model
by Cong Wu and Jianhui Yang
Future Internet 2019, 11(11), 240; https://doi.org/10.3390/fi11110240 - 15 Nov 2019
Viewed by 3072
Abstract
In order to achieve a multi-path routing algorithm with time delay and energy consumption balance to alleviate the energy holes around a sink, a multimedia independent multipath routing algorithm for internet of things (IoT) based on node hidden communication model is proposed in [...] Read more.
In order to achieve a multi-path routing algorithm with time delay and energy consumption balance to alleviate the energy holes around a sink, a multimedia independent multipath routing algorithm for internet of things (IoT) based on node hidden communication model is proposed in this paper. On the premise of satisfying the application delay, a multi-source multi-path routing algorithm is proposed by using the idea of software definition and fitting multiple curves to form independent multi-path routing. Through a sink node centralized programming control source node routing, according to the priority of the source node, the dynamic angle of the source node can be allocated, which effectively reduces the energy consumption of the network. In addition, considering that the Internet of Things has more perceptive nodes, limited computing and storage capacity, frequent joining and exiting operations and other factors, a hidden communication model of nodes is designed for the IoT. It is helpful to improve the level of privacy protection in the IoT, and to effectively improve the ability of nodes to resist attacks in the IoT. The experimental results show that the proposed algorithm avoids the interference between paths and various network attacks to the greatest extent, and the energy consumption is relatively low under the requirement of quality of service (QoS) delay. Full article
(This article belongs to the Special Issue Multimedia Internet of Things (IoT) in Smart Environment)
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10 pages, 1884 KiB  
Article
A Spatial Prediction-Based Motion-Compensated Frame Rate Up-Conversion
by Yanli Li, Wendan Ma and Yue Han
Future Internet 2019, 11(2), 26; https://doi.org/10.3390/fi11020026 - 23 Jan 2019
Cited by 3 | Viewed by 3416
Abstract
In Multimedia Internet of Things (IoT), in order to reduce the bandwidth consumption of wireless channels, Motion-Compensated Frame Rate Up-Conversion (MC-FRUC) is often used to support the low-bitrate video communication. In this paper, we propose a spatial predictive algorithm which is used to [...] Read more.
In Multimedia Internet of Things (IoT), in order to reduce the bandwidth consumption of wireless channels, Motion-Compensated Frame Rate Up-Conversion (MC-FRUC) is often used to support the low-bitrate video communication. In this paper, we propose a spatial predictive algorithm which is used to improve the performance of MC-FRUC. The core of the proposed algorithm is a predictive model to split a frame into two kinds of blocks: basic blocks and absent blocks. Then an improved bilateral motion estimation is proposed to compute the Motion Vectors (MVs) of basic blocks. Finally, with the spatial correlation of Motion Vector Field (MVF), the MV of an absent block is predicted based on the MVs of its neighboring basic blocks. Experimental results show that the proposed spatial prediction algorithm can improve both the objective and the subjective quality of the interpolated frame, with a low computational complexity. Full article
(This article belongs to the Special Issue Multimedia Internet of Things (IoT) in Smart Environment)
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