The Applications of Computer Vision and Pattern Recognition
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 61
Special Issue Editors
Interests: computer vision; pattern recognition; machine learning
Interests: computer vision and remote sensing image processing fields; target recognition and tracking; image generation and model migration; small sample learning; attribute learning
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; pattern recognition; computer vision; textile engineering; medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision and pattern recognition are fundamentally transforming how machines perceive and interpret the visual world, and they stand as key enabling technologies for the Future Internet, powering its intelligent and data-driven visual processing capabilities across diverse digital ecosystems. From medical image analysis to autonomous systems and augmented reality—core application scenarios of the Future Internet—these technologies enable the extraction of meaningful information from images and video data at an unprecedented scale. The capabilities of deep learning, particularly convolutional neural networks, have been a primary driver behind recent breakthroughs, achieving human-level performance in many tasks and thus elevating the functional potential of Future Internet applications.
However, deploying these systems in real-world Future Internet scenarios presents ongoing challenges, including robustness to the varying data conditions of distributed internet environments, computational efficiency for edge devices that form the backbone of the Future Internet, and the need for explainable and trustworthy models to ensure the security and reliability of Future Internet services.
This Special Issue of Future Internet aims to showcase the latest advancements and innovative applications of computer vision and pattern recognition, with a focus on their integration with Future Internet technologies and use cases. We seek contributions that address both theoretical foundations and practical implementations for the Future Internet ecosystem, pushing the boundaries of what is possible. Topics of interest range from core algorithmic improvements to interdisciplinary applications that solve complex problems in Future Internet-enabled fields like robotics, environmental monitoring, and creative industries.
Prof. Dr. Hewei Yu
Dr. Shun Zhang
Prof. Dr. Remus Brad
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 250 words) can be sent to the Editorial Office for assessment.
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 1800 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
- object detection
- image segmentation
- deep learning
- feature extraction
- autonomous systems
- medical image analysis
- action recognition
- explainable AI
- computational efficiency
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