Displays

Vision-Based Intelligent Evaluation Technology

Guest editors:

Professor Ke Gu, Ph.D.
Beijing University of Technology, Beijing, China
Areas of Expertise: Image processing, environmental perception, automatic detection

Associate professor Lai Kuan Wong, Ph.D.
Multimedia University, Selangor, Malaysia
Areas of Expertise: Computer vision, computational photography, medical imaging

Associate professor Tho Quan Thanh, Ph.D.
Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam
Areas of Expertise: Deep neural network, visual segmentation, artificial intelligence models

Assistant Professor Maryam Karimi, Ph.D.
Shahrekord University, Shahrekord, Iran
Areas of Expertise: Image processing, computer vision, deep learning

Professor Weisi Lin, Ph.D.
Nanyang Technological University, Singapore
Areas of Expertise: Perception inspired signal modeling, video compression, image processing and analysis

Professor Nipon Theera-Umpon, Ph.D.
Chiang Mai University, Chiang Mai, Thailand

Special issue information:

Vision-based intelligent evaluation technology, as an interdisciplinary field integrating artificial intelligence and computer vision, deeply converges core algorithms such as visual quality assessment, image enhancement, abnormal behavior detection and multi-target recognition, thus to establish a comprehensive analysis system covering the entire process from data collection and feature extraction to intelligent decision-making. Against the backdrop of the in-depth promotion of digital transformation, many application fields, such as industrial internet, medical imaging and educational big data, are imposing increasingly stringent requirements on the real-time nature and accuracy of data evaluation. Traditional manual evaluation methods struggle to meet these requirements, while intelligent evaluation technology leverages the advantages of automation, precision and real-time capabilities to efficiently process complex data and provide scientific support for decision-making. Taking the generative AI for example, intelligent evaluation technology can efficiently conduct a comprehensive quality analysis of generated content, including visual authenticity verification, artistic quality assessment and multimodal alignment detection.Taking industrial production for example, intelligent evaluation technology can accurately perform a comprehensive assessment of objects, such as size measurement, shape recognition, defect detection, and motion trajectory analysis. This special issue calls for novel and high-quality papers that introduce reliable solutions and technologies for the above-mentioned problems.

The topics of interest include, but are not limited to:

1. Intelligent visual evaluation system for diverse application scenarios, such as visual quality assessment,
   image enhancement, and object recognition;
2. Lightweight evaluation technologies driven by intelligent perception, with a focus on breakthroughs in technologies such as adaptation to resource-constrained scenarios and few-shot learning paradigms;
3. Embodied intelligence and multimodal evaluation framework, such as interactive scenario enhancement, cross-modal fusion modeling, and vision-action collaborative evaluation system for embodied intelligence;
4. Practical applications of industrial intelligent evaluation, with a focus on breakthroughs in environmental perception technologies for different fields such as sewage water quality monitoring and air pollution monitoring.

Manuscript submission information:

Please refer to the Guide for authors to prepare your manuscript, and select the article type of “VSI:VIET” when submitting your manuscript online at the journal’s submission platform Submission site for Displays. 

Final Manuscript Submission Deadline: 30th June 2026

Keywords:

(Intelligent evaluation) OR (embodied intelligence) OR
(generative artificial intelligence) OR (quality assessment
and enhancement) OR (object recognition)

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