2025 9th International Conference on Electronic Information Technology and Computer Engineering

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 535

Special Issue Editors


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Guest Editor
College of Computer and Information Science, Southwest University, Chongqing, China
Interests: big data

E-Mail Website
Guest Editor
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
Interests: big data; recommender systems; environmental protection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleague,

Electronic information technology and computer engineering are two significant scopes of the journal Symmetry. The 2025 9th International Conference on Electronic Information Technology and Computer Engineering (EITCE 2025) serves as good platforms for academics, researchers, and engineers to meet and exchange innovative ideas and information on all aspects of electronic information technology and computer engineering.

The 2025 9th International Conference on Electronic Information Technology and Computer Engineering (EITCE 2025) (https://eitce.org/) will be held on June 13–15, 2025, in Chongqing, China. EITCE 2025 aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of electronic information technology and computer engineering. The conference will provide a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, as well as the practical challenges encountered and solutions adopted, in the fields of electronic information technology and computer engineering.

The topics of interests are within the broad areas of electronic information technology and computer engineering, including, but not limited to, the following:

Electronic information technology part:

  • Digital signal processing;
  • Sensor technology;
  • Embedded systems;
  • Digital communication technologies;
  • Satellite communication technologies;
  • Wireless network communication technologies;
  • Mobile communication;
  • Computer network communications;
  • Signal and image processing;
  • Multimedia technology;
  • Semiconductor devices;
  • Optical networks;
  • Communication;
  • Computer applications;
  • Photovoltaic system;
  • Power electronics;
  • Radio frequency;
  • Automation;
  • Virtual instrumentation;
  • Grid computing;
  • Robotics;
  • Information remote sensing.

Computer engineering part:

  • Numerical analysis;
  • Operating systems;
  • Programming paradigms;
  • Quantum computing theory;
  • Scientific computing;
  • Computer programming;
  • Database management systems;
  • Evolutionary computation;
  • Logic programming;
  • Machine learning;
  • Software engineering;
  • Software testing;
  • Symbolic mathematics;
  • Advanced adaptive signal processing;
  • Spectrum estimation and modeling;
  • TF spectrum analysis and wavelet analysis;
  • Higher-order spectral analysis;
  • Adaptive filtering and signal processing;
  • Array signal processing;
  • Hardware implementation for signal processing;
  • Speech and audio coding;
  • Speech synthesis and recognition;
  • Image processing and understanding;
  • Information ocean technology;
  • PDE for image processing;
  • Video compression and streaming;
  • Computer vision and VR;
  • Multimedia and human–computer interactions;
  • Statistic learning and pattern recognition;
  • AI and neural networks;
  • Communication signal processing;
  • SP for Internet and wireless communication.

Prof. Dr. Xin Luo
Prof. Dr. Di Wu
Guest Editors

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. Symmetry 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 2400 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

  • digital signal processing
  • sensor technology
  • embedded systems
  • digital communication technologies
  • satellite communication technologies
  • wireless network communication technologies
  • mobile communication
  • computer network communications
  • signal and image processing
  • multimedia technology
  • semiconductor devices
  • optical networks
  • communication
  • computer applications
  • photovoltaic system
  • power electronics
  • radio frequency
  • automation
  • virtual instrumentation
  • grid computing
  • robotics
  • information remote sensing
  • numerical analysis
  • operating systems
  • programming paradigms
  • quantum computing theory
  • scientific computing
  • computer programming
  • database management systems
  • evolutionary computation
  • logic programming
  • machine learning
  • software engineering
  • software testing
  • symbolic mathematics
  • advanced adaptive signal processing
  • spectrum estimation and modeling
  • TF spectrum analysis and wavelet analysis
  • higher-order spectral analysis
  • adaptive filtering and signal processing
  • array signal processing
  • hardware implementation for signal processing
  • speech and audio coding
  • speech synthesis and recognition
  • image processing and understanding
  • information ocean technology
  • PDE for image processing
  • video compression and streaming
  • computer vision and VR
  • multimedia and human–computer interactions
  • statistic learning and pattern recognition
  • AI and neural networks
  • communication signal processing
  • SP for internet and wireless communication

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Published Papers (1 paper)

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Research

18 pages, 15092 KiB  
Article
Ultra-Low Bitrate Predictive Portrait Video Compression with Diffusion Models
by Xinyi Chen, Weimin Lei, Wei Zhang, Yanwen Wang and Mingxin Liu
Symmetry 2025, 17(6), 913; https://doi.org/10.3390/sym17060913 - 10 Jun 2025
Viewed by 247
Abstract
Deep neural video compression codecs have shown great promise in recent years. However, there are still considerable challenges for ultra-low bitrate video coding. Inspired by recent diffusion models for image and video compression attempts, we attempt to leverage diffusion models for ultra-low bitrate [...] Read more.
Deep neural video compression codecs have shown great promise in recent years. However, there are still considerable challenges for ultra-low bitrate video coding. Inspired by recent diffusion models for image and video compression attempts, we attempt to leverage diffusion models for ultra-low bitrate portrait video compression. In this paper, we propose a predictive portrait video compression method that leverages the temporal prediction capabilities of diffusion models. Specifically, we develop a temporal diffusion predictor based on a conditional latent diffusion model, with the predicted results serving as decoded frames. We symmetrically integrate a temporal diffusion predictor at the encoding and decoding side, respectively. When the perceptual quality of the predicted results in encoding end falls below a predefined threshold, a new frame sequence is employed for prediction. While the predictor at the decoding side directly generates predicted frames as reconstruction based on the evaluation results. This symmetry ensures that the prediction frames generated at the decoding end are consistent with those at the encoding end. We also design an adaptive coding strategy that incorporates frame quality assessment and adaptive keyframe control. To ensure consistent quality of subsequent predicted frames and achieve high perceptual reconstruction, this strategy dynamically evaluates the visual quality of the predicted results during encoding, retains the predicted frames that meet the quality threshold, and adaptively adjusts the length of the keyframe sequence based on motion complexity. The experimental results demonstrate that, compared with the traditional video codecs and other popular methods, the proposed scheme provides superior compression performance at ultra-low bitrates while maintaining competitiveness in visual effects, achieving more than 24% bitrate savings compared with VVC in terms of perceptual distortion. Full article
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