Special Issue "Advances in Image and Video Encoding Algorithm and H/W Design"
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 13599
Interests: deep learning; multimedia processing; visual intelligence; emotion recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue in Electronics: Digital Signal, Image and Video Processing for Emerging Multimedia Technology
Special Issue in Applied Sciences: 5G Networks: Optimization, Machine Learning And Blockchain Technologies
Special Issue in Electronics: Digital Signal, Image and Video Processing for Emerging Multimedia Technology, Volume II
Special Issue in Sustainability: Sustainable Smart Cities and Societies Using Emerging Technologies
Special Issue in Sensors: Smart Sensor Networks and Security Management for Industrial IoT (IIoT) Applications
Special Issue in Electronics: Feature Papers in Computer Science & Engineering
Special Issue in Electronics: Advanced Theories and Applications of Multimedia Information Technology (Invited Papers from MITA 2023)
Special Issue in Sensors: Sensors and Sensing Technologies for Vision and Perception in Virtual Environments
Over the past several years, the impressive progress of image/video coding schemes including statistical signal processing and deep learning approaches has been being reported in MPEG and JVET. Despite a short history of the deep-learning-based field, end-to-end trained coding models based on deep learning have evolved as a promising nonlinear signal processing framework, and recent works have shown that some learned models can achieve significant compression gains over traditional methods. In addition, there are many traditional signal processing approaches. However, in terms of complexity and their structures, there are still unsolved problems and compelling research challenges that remain to be addressed. First, the computational burden is still high and not suitable for real-time application. Therefore, we need the energy-efficient and fast architectures for low-complexity image/video encoding and decoding, which is essential for practical applications. In addition, improved compression for different target applications such as object detection or high-quality video streaming for machine-to-machine communication and variable-rate control and efficient bit allocation with deep learning frameworks have not been investigated yet.
This Special Issues invites original researches addressing important innovative and timely challenges of the community, which is deep learning and statistical signal processing for image/video coding such as JPEG, HEVC, and VVC standards in energy-aware, real-world environments.
Specific topics of interest include, but are not limited to, the following:
- Advanced signal compression modules for image and video coding;
- Machine-learning-based on efficient decoding structure;
- Efficient and fast hardware/network architectures for learning-based image/video coding;
- Fast schemes using lightweight DNN structures;
- Automated machine learning for image/video coding;
- End-to-end learning framework for image/video coding;
- Quality assessment models reflecting the human perception of quality and its applications in image/video coding;
- Deep learning techniques for optimizing traditional image/video codecs;
- Bandwidth control mechanisms for network optimization;
- Video encoding schemes for networked distributed camera system;
- Various image/video coding for machine vision applications;
Prof. Dr. Byung-Gyu Kim
Dr. Dongsan Jun
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.
- image/video signal processing
- compression algorithm
- video coding standars
- deep neural network for video coding
- camera sensor network