Electronics and Algorithms for Real-Time Video Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 8039
Special Issue Editors
Interests: video codecs; image processing; artificial intelligence; embedded systems; virtual reality; real-time protocols
Interests: computer vision techniques for video processing; accelerator-based high performance computing; video applications on embedded heterogeneous systems
Special Issues, Collections and Topics in MDPI journals
Interests: virtual reality; video codecs; videogame design; cloud computing
Interests: FPGA/GPU algorithm acceleration; video codecs; biosignal digital processing; VLSI system design and design automation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Real-time video has an ample variety of applications, ranging from remote videogames, remote virtual reality, vehicular communications, computer vision, etc. Thus, with the advent of 5G a new range of real-time video services is emerging, enabled by the low latencies and high bandwidth potential of this technology. Similarly, new Computer Vision techniques based on Deep Learning approaches are achieving encouraging accuracy in results. However, it is still a challenge to deploy theses applications on low-power and small devices fulfilling real-time constrains.
Existing solutions for video applications, tailored for other scenarios, were not designed for this extreme and somewhat conflicting constraints. On top of that, many solutions mandate the use of special-purpose video processing techniques, implemented through software, hardware, or a combination of both. It is therefore necessary to design these new algorithms, suited for the application special requirements and the computing constraints imposed by the target hardware architecture.
Furthermore, hardware architectures such as multi-core, many-core and reconfigurable platforms for both embedded systems and high-performance computing can be exploited to enable novel real-time services. To realize this, it is important not only to optimize the use of resources (memory access, parallelization, etc.), but also to adapt the algorithms to the specific hardware architectures. Moreover, recent advances in reconfigurable system-on-chip (blending processors and reconfigurable fabric), as well as cloud deployment of high-end accelerators (GPU and reconfigurable systems) open new opportunities for efficient real-time video.
In this Special Issue we propose to investigate new applications, techniques and implementations for real-time video, focusing on two different target hardware architectures: embedded systems and high-performance computing systems.
Topics of interest to this Special Issue include, but are not limited to, the following:
- Video for mobile systems physically moving at a high speed
- Low-power/low-cost implementations of real-time video processing by means of microcontroller units
- Error correction techniques for video transmission through unreliable data networks
- Image compression/processing techniques for real-time video
- Novel algorithms to cope with extreme video constraints: low-latency, high frame rate, high packet loss, real-time video processing, etc.
- Embedded reconfigurable systems implementations
- High-performance video systems through high-end reconfigurable accelerators
- Many-core implementation of low-latency video
- Multi-core implementation of real-time video
- Computer Vison applications on embedded and/or reconfigurable architectures satisfying real-time design constraints.
Dr. Javier García-Aranda
Dr. Nicolás Guil-Mata
Dr. Rodrigo García-Carmona
Dr. Gabriel Caffarena
Guest Editors
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