Foundations and Trends in Computer Graphics and Vision
Scope & Guideline
Pioneering Insights in Computer Graphics and Vision
Introduction
Aims and Scopes
- Interdisciplinary Research in Computer Graphics and Vision:
The journal encourages research that bridges various disciplines, integrating concepts from computer science, psychology, and design to enhance the understanding and application of computer graphics and vision. - Advancements in Deep Learning Techniques:
There is a strong emphasis on the application of deep learning methodologies in computer vision tasks, including image restoration, segmentation, and multimedia forensics, highlighting the journal's focus on cutting-edge technological advancements. - User-Centered Design and Evaluation:
Research that focuses on improving user studies and experiences in computer graphics and vision is a core area, reflecting the journal's commitment to practical applications and user interaction. - Comprehensive Reviews and Surveys:
The journal publishes extensive reviews and surveys that consolidate knowledge in specific areas, such as object segmentation and multimodal models, providing a foundational understanding for researchers and practitioners. - Emerging Technologies and Applications:
The journal also aims to explore and report on emerging technologies in computer graphics and vision, including computational imaging and neural data compression, indicating a focus on future trends and applications.
Trending and Emerging
- Multimodal Foundation Models:
The emergence of research on multimodal foundation models highlights the trend towards creating general-purpose AI systems that can understand and generate content across multiple modalities, such as text and images. - User Studies and Human-Centric Research:
There is an increasing focus on improving methodologies for user studies, indicating a trend towards prioritizing user experience and engagement in computer graphics and vision research. - Neural Data Compression:
The rising interest in neural data compression underlines the importance of optimizing data storage and transmission, particularly in the context of multimedia applications, reflecting current technological demands. - Deep Learning Applications in Vision Tasks:
Recent papers demonstrate a growing trend in the application of deep learning techniques to various vision tasks, including image/video restoration and segmentation, indicating a robust shift towards AI-driven solutions. - Cross-Disciplinary Approaches:
There is a noticeable increase in research that combines insights from various disciplines, reflecting a trend towards holistic approaches that leverage diverse methodologies and perspectives in computer graphics and vision.
Declining or Waning
- Traditional Image Processing Techniques:
Papers focusing on conventional image processing methods seem to be less frequent, as the field increasingly emphasizes deep learning approaches, which offer more robust solutions to complex problems. - Basic Theoretical Foundations:
There appears to be a waning interest in purely theoretical discussions without practical applications, as the journal shifts towards research that demonstrates practical implementations and user-focused outcomes. - Static Graphics Techniques:
Research centered on static graphics techniques is declining, potentially due to the growing integration of dynamic and interactive elements in computer graphics, which are more aligned with current technological trends.
Similar Journals
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Pioneering Research in Imaging Systems and TechnologyINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, published by Wiley, is a leading journal dedicated to advancing the field of imaging systems and technologies. With an ISSN of 0899-9457 and E-ISSN 1098-1098, this esteemed journal offers a platform for high-quality research spanning essential interdisciplinary areas, including Biomedical Engineering, Computer Science, and Health Informatics. Recognized for its impactful contributions, it holds a commendable position in the Q2 quartile across multiple categories as of 2023. The journal boasts an excellent Scopus ranking, with notable acknowledgments like rank #49 out of 333 in Radiology, Nuclear Medicine, and Imaging, showcasing its relevance and importance in the academic community. Publishes annually from 1989 to 2024, it aims to bridge gaps in knowledge and foster innovative developments through rigorous peer-reviewed articles. Though it operates under a traditional access model, the journal maintains an accessible repository of cutting-edge research, making it indispensable for researchers, professionals, and students alike seeking to stay at the forefront of imaging technology advancements.
ACM Transactions on Multimedia Computing Communications and Applications
Illuminating the Path of Multimedia Advancements.ACM Transactions on Multimedia Computing, Communications, and Applications is a premier journal published by the Association for Computing Machinery (ACM), pivotal in the field of Computer Networks and Communications and Hardware and Architecture. With an impressive 2023 impact factor, this journal holds a commendable Q1 ranking in both its categories, solidifying its significance within the research community. The journal welcomes high-quality research that explores innovative technologies and methodologies in multimedia computing and communication as well as applications that enhance user experiences. While it remains a subscription-based journal, it provides unparalleled access to groundbreaking studies, serving as an essential resource for researchers, professionals, and students seeking to stay at the forefront of multimedia technologies. Spanning from 2005 to 2024, the journal offers a rich repository of knowledge and is committed to fostering advancements in the multimedia domain.
MACHINE VISION AND APPLICATIONS
Unveiling New Dimensions in Pattern Recognition.MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.
SIAM Journal on Imaging Sciences
Unveiling Innovations in Applied Mathematics and Imaging.SIAM Journal on Imaging Sciences is a prestigious academic journal published by SIAM PUBLICATIONS, focusing on the latest advancements and applications in imaging sciences within the fields of applied and general mathematics. Since its inception in 2008, the journal has established itself as a premier outlet for original research, evidenced by its remarkable standing in the academic community, including a Q1 ranking in both Applied Mathematics and Mathematics (miscellaneous) for 2023. With a Scopus rank of #45 in General Mathematics and an 88th percentile achievement, the journal continues to attract high-quality contributions, making it a vital resource for researchers, professionals, and students eager to stay at the forefront of imaging science developments. Although not currently open access, the journal provides significant visibility through its rigorous peer-review process and commitment to scholarly excellence, ensuring that published works contribute substantially to knowledge in the field. For those looking to delve into innovative imaging techniques or mathematical modeling approaches, the SIAM Journal on Imaging Sciences remains an essential reference point.
SIGNAL PROCESSING-IMAGE COMMUNICATION
Unveiling the Future of Visual TechnologySIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.
International Journal of Image and Graphics
Exploring the Intersection of Art and TechnologyInternational Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.
VISUAL COMPUTER
Illuminating the Future of Computer GraphicsVISUAL COMPUTER is a prestigious journal published by Springer, focusing on the dynamic fields of computer graphics, computer-aided design, computer vision, and software. Established in 1985, this interdisciplinary journal serves as a vital platform for sharing innovative research, applications, and developments crucial to the advancement of visual computing technologies. With a notable Q2 ranking in various categories, including Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition, VISUAL COMPUTER demonstrates a solid impact within the academic community, marked by its Scopus rankings that reflect its significant contributions to the field. While the journal does not offer open access, it remains a reliable source of high-quality content for researchers, professionals, and students eager to stay abreast of emerging trends and techniques, ultimately fostering collaboration and knowledge exchange within the rapidly evolving landscape of visual computing.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Advancing the Frontiers of Mathematical Imaging and VisionJOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.
IMAGE AND VISION COMPUTING
Advancing visual technology through innovative research.Image and Vision Computing, published by Elsevier, serves as a leading international journal focused on the dynamic fields of computer vision, pattern recognition, and signal processing. With its esteemed Q1 category rankings in these areas and an impressive standing in Scopus metrics, where it ranks 19th in Computer Vision and 23rd in Signal Processing, this journal has firmly positioned itself at the forefront of academic research and innovation. Established in 1983, it continues to publish cutting-edge research that drives advancements in technology and applications across various domains. The journal is committed to disseminating high-quality, peer-reviewed articles that address significant challenges and propose novel solutions, making it an essential resource for researchers, practitioners, and students alike. While not an open access journal, Image and Vision Computing offers a wealth of valuable insights into the ever-evolving landscape of visual computing technologies.
Computational Visual Media
Exploring the future of AI and design.Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.