IMAGE AND VISION COMPUTING

Scope & Guideline

Transforming insights into breakthroughs in visual computing.

Introduction

Delve into the academic richness of IMAGE AND VISION COMPUTING with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0262-8856
PublisherELSEVIER
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1983 to 2024
AbbreviationIMAGE VISION COMPUT / Image Vis. Comput.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Image and Vision Computing' primarily focuses on the development and application of computer vision and image processing techniques. It serves as a platform for researchers to share innovative methods and applications that enhance the understanding and manipulation of visual data. The journal emphasizes interdisciplinary approaches, integrating insights from computer science, engineering, and cognitive science to advance the field of image and vision computing.
  1. Computer Vision Algorithms:
    The journal publishes papers on various algorithms that improve image analysis, object detection, and scene understanding, including deep learning techniques and traditional computer vision methods.
  2. Image Processing Techniques:
    Research focused on image enhancement, restoration, segmentation, and feature extraction is a core area, with applications spanning medical imaging, remote sensing, and multimedia.
  3. Interdisciplinary Applications:
    The journal encourages submissions that apply vision and imaging techniques to diverse fields such as robotics, healthcare, autonomous vehicles, and augmented reality.
  4. Human-Computer Interaction (HCI):
    Papers exploring the interaction between humans and machines through visual interfaces, including gesture recognition, emotion detection, and user experience studies.
  5. Emerging Technologies:
    Research on cutting-edge technologies such as 3D imaging, virtual reality, and machine learning applications in vision computing is highlighted.
The journal is currently witnessing a surge in interest in several emerging themes that reflect the latest advancements in technology and research trends within the domain of image and vision computing. These themes indicate a dynamic shift towards more complex, integrated approaches to visual data analysis.
  1. Deep Learning Techniques:
    There is a significant rise in the application of deep learning techniques for various tasks such as image segmentation, classification, and object detection, showcasing the effectiveness of neural networks in handling complex visual data.
  2. Multimodal Learning:
    Research exploring the integration of multiple data modalities (e.g., visual, textual, auditory) is gaining traction, reflecting the need for more holistic approaches to understanding and interpreting visual information.
  3. Real-time Processing and Edge Computing:
    Emerging studies focus on real-time image processing and the utilization of edge computing for applications in autonomous systems and smart devices, emphasizing the need for efficient and rapid analysis.
  4. Explainable AI in Vision Tasks:
    There is an increasing emphasis on explainable AI techniques that aim to make the decision-making processes of computer vision systems more transparent and understandable, which is crucial in sensitive fields like healthcare.
  5. Robustness Against Adversarial Attacks:
    Research addressing the robustness of vision systems against adversarial attacks is trending, highlighting the importance of security in image analysis and machine learning applications.

Declining or Waning

While 'Image and Vision Computing' continues to evolve, certain themes appear to be diminishing in prominence as the focus shifts toward more contemporary issues and technologies. This shift reflects the changing landscape of research priorities and technological advancements in the field.
  1. Traditional Image Processing Techniques:
    There is a noticeable decline in publications focusing solely on traditional image processing methods without integration into machine learning frameworks, as the field moves towards more sophisticated, data-driven approaches.
  2. Basic Object Detection:
    Research papers centered around basic object detection techniques without the incorporation of deep learning or advanced methodologies have decreased, indicating a shift towards more complex and effective solutions.
  3. Hardware-Specific Implementations:
    Studies that emphasize hardware-specific implementations for image processing are less frequent, as the community increasingly prioritizes software-based innovations that are more widely applicable.
  4. Theoretical Foundations:
    Theoretical papers that do not include practical applications or experimental results are becoming less common, as researchers seek to demonstrate real-world applicability of their findings.
  5. 2D Image Analysis:
    There is a waning interest in 2D image analysis as research increasingly focuses on 3D imaging, depth perception, and multi-dimensional data analysis.

Similar Journals

Journal of Real-Time Image Processing

Transforming Theoretical Insights into Real-Time Solutions
Publisher: SPRINGER HEIDELBERGISSN: 1861-8200Frequency: 4 issues/year

Journal of Real-Time Image Processing, published by SPRINGER HEIDELBERG, is a renowned peer-reviewed journal dedicated to the field of real-time image processing. With an ISSN of 1861-8200 and an E-ISSN of 1861-8219, this journal operates under a rigorous academic framework, ensuring high-quality publications that cater to both theoretical and practical advancements in the discipline. Since its inception in 2006, it has continually evolved, maintaining a Q2 ranking in Information Systems according to the 2023 Category Quartiles. This journal ranks #103 out of 394 in Scopus for Computer Science - Information Systems, positioning it within the top 27% percentile, which underscores its significance in the research community. Its focus on the intersection of image processing and real-time applications makes it a vital resource for researchers, professionals, and students eager to explore and contribute to cutting-edge developments in the field. Though it does not currently offer open access, the journal's comprehensive scope and commitment to disseminating impactful research make it an essential platform for advancing knowledge in real-time image processing.

Computational Visual Media

Connecting global minds in computational visual media.
Publisher: TSINGHUA UNIV PRESSISSN: 2096-0433Frequency: 4 issues/year

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.

SIAM Journal on Imaging Sciences

Championing Excellence in Imaging Research and Applications.
Publisher: SIAM PUBLICATIONSISSN: 1936-4954Frequency: 4 issues/year

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.

International Journal of Image and Graphics

Illuminating the Path to Visual Excellence
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-4678Frequency: 4 issues/year

International 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.

SIGNAL PROCESSING-IMAGE COMMUNICATION

Innovating Signal Processing for Tomorrow's Technologies
Publisher: ELSEVIERISSN: 0923-5965Frequency: 10 issues/year

SIGNAL 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.

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Transforming Ideas into Optical Insights
Publisher: Optica Publishing GroupISSN: 1084-7529Frequency: 12 issues/year

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, published by Optica Publishing Group, is a leading journal in the fields of optics, image science, and vision. With a rich history dating back to 1979, it serves as an essential platform for disseminating cutting-edge research and developments from 1984 to 2024. The journal covers a wide array of topics, including atomic and molecular physics, electronic and optical materials, and pattern recognition in computer vision. Its prestigious categorization in the Q2 quartile for Atomic and Molecular Physics and Optics and its Q3 rankings in Computer Vision and Medical fields indicate the high-level contributions it fosters within the scientific community. Researchers will benefit from its commitment to rigorous peer review and its role in advancing knowledge at the intersection of science and application. Although it is not an open-access journal, the quality of content attainable here is invaluable for academics, industry professionals, and students eager to explore the forefront of optical science.

International Journal of Advanced Computer Science and Applications

Connecting Scholars to Shape the Future of Computing.
Publisher: SCIENCE & INFORMATION SAI ORGANIZATION LTDISSN: 2158-107XFrequency: 12 issues/year

International Journal of Advanced Computer Science and Applications, published by SCIENCE & INFORMATION SAI ORGANIZATION LTD, stands as a significant platform in the ever-evolving field of computer science. With its ISSN 2158-107X and E-ISSN 2156-5570, the journal aims to disseminate high-quality research and innovations from diverse areas within computer science, embracing cutting-edge technologies and methodologies. As of 2023, it holds a commendable Q3 ranking in the field, placing it among a competitive cohort of journals while showcasing its commitment to scholarly excellence. The journal operates under an open access model, ensuring that its content is widely accessible to researchers, professionals, and students alike, thereby fostering a collaborative environment for knowledge-sharing and advancing the discipline. With a history of converged contributions from 2017 to 2024, the International Journal of Advanced Computer Science and Applications serves as a vital resource for those seeking to stay at the forefront of computer science research and applications.

CAAI Transactions on Intelligence Technology

Elevating Standards in AI and Computer Science
Publisher: WILEYISSN: 2468-6557Frequency: 4 issues/year

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

International Journal of Wavelets Multiresolution and Information Processing

Bridging Mathematics and Technology with Wavelet Research
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-6913Frequency: 6 issues/year

Welcome to the International Journal of Wavelets, Multiresolution and Information Processing, a leading platform published by World Scientific Publishing Co. Pte Ltd that explores the intricate intersections of applied mathematics, signal processing, and information systems. Since its inception in 2006, this journal has provided a robust avenue for scholars and practitioners to disseminate innovative research and developments in wavelet theory and its multidisciplinary applications, providing valuable insights into complex problem-solving across various fields. With an impact factor that reflects its rigorous peer-review process and commitment to quality, the journal holds a commendable Q3 category ranking in Applied Mathematics, Information Systems, and Signal Processing as of 2023. The journal is housed in Singapore and serves a global audience, ensuring that groundbreaking research is accessible to all. Emphasizing open discourse and collaboration, the International Journal of Wavelets, Multiresolution and Information Processing is an essential resource for researchers, professionals, and students aiming to advance their understanding and practical use of wavelet and multiresolution techniques.

JOURNAL OF MATHEMATICAL IMAGING AND VISION

Pioneering Discoveries in Applied Mathematics and Vision Science
Publisher: SPRINGERISSN: 0924-9907Frequency: 9 issues/year

JOURNAL 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.