Visual Attributes in Computer Vision Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 93
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advancements in computer vision algorithms have unlocked the potential of visual attributes across a wide spectrum of emerging research areas and innovative real-world applications. These include, but are not limited to, healthcare, autonomous vehicles, activity recognition, facial and gesture analysis, biomedical imaging, vision-based rehabilitation, augmented reality (AR), virtual reality (VR), mixed reality (MR), and other intelligent systems. Both static and dynamic visual attributes are key to shaping these applications. Optimizing the use of individual or combined visual attributes has the potential to significantly enhance the performance, accuracy, and impact of these systems for end users and industry. This Special Issue aims to accelerate progress in this rapidly evolving field by fostering interdisciplinary collaboration and engagement within the visual computing and intelligent computer vision communities.
We welcome submissions on a range of topics, including but not limited to visual quality computing, visual cues for activity and gesture analysis, healthcare applications, image/video segmentation and inpainting, real-world or in-the-wild applications, low-level intelligent vision systems, visual field augmentation, transformation, and gamification.
Dr. Md Baharul Islam
Guest Editor
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. Algorithms 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 1600 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
- visual quality enhancement and restoration
- image and video inpainting and super-resolutions
- gesture recognition for human–computer interactions
- sign language recognition systems
- computer vision for medical imaging
- visual attributes in diagnostic healthcare systems
- vision-based rehabilitation and assistive technologies
- visual cues for remote healthcare monitoring
- vision for autonomous driving systems
- object detection and tracking in dynamic environments
- scene understanding and semantic segmentation for autonomous systems
- visual data for edge and cloud computing
- low-level vision for intelligent systems
- AR/VR/MR applications in training and simulation
- gamification in vision-based applications
- immersive environments for learning and training
- object completion and inpainting in vision systems
- vision-based surveillance and security systems
- visual perception under adverse conditions (e.g., low light, weather, etc.)
- computer vision for environmental monitoring (e.g., agriculture, forestry, etc.)
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