International Journal of Multimedia Data Engineering & Management, published by IGI Global, is a pivotal platform for the dissemination of knowledge in the fields of multimedia data engineering, information management, and technology-driven methodologies. With a keen emphasis on exploring innovative approaches to data management, this journal engages researchers, professionals, and students interested in the rapidly evolving digital landscape. Although currently not designated as Open Access, the journal is accessible through institutional subscriptions, fostering rigorous academic dialogue and collaboration. The ISSN for this esteemed publication is 1947-8534 (E-ISSN: 1947-8542), ensuring its global reach and recognition within the scholarly community. By bridging theoretical perspectives with practical applications, the International Journal of Multimedia Data Engineering & Management supports ongoing advancements and drives impactful research in multimedia technologies.

Advances in Multimedia is a dynamic journal published by HINDAWI LTD, dedicated to the ever-evolving field of multimedia research. Since its inception in 2007, this Open Access journal has provided a platform for the dissemination of innovative findings and applications in various aspects of multimedia computing, including image processing, audio-visual technology, and cross-media communication. Although its coverage in Scopus has been discontinued, the journal remains relevant in the academic community, with a focus on fostering new ideas and discussions among researchers and practitioners. With an impact factor reflective of its contributions to the field, Advances in Multimedia plays a crucial role in bridging theoretical and practical applications, enabling scholars and students to engage with cutting-edge topics. This journal serves as a gateway for knowledge, inviting contributions that enhance our understanding of multimedia's impact on both technology and society.

Frontiers in Signal Processing is a pioneering open access journal published by FRONTIERS MEDIA SA that has been a key player in the field of signal processing since its launch in 2021. With an E-ISSN of 2673-8198, this journal aims to foster innovative research and contribute to advancements in various signal processing applications, from audio and image processing to telecommunications and biometrics. As a platform for researchers, professionals, and students, it provides a rigorous peer-review process along with wide dissemination of high-quality articles, making groundbreaking findings freely accessible to a global audience. The journal’s commitment to open access ensures that knowledge is not confined by paywalls, thereby empowering the scientific community to accelerate discovery and learning. With a comprehensive scope that encompasses theoretical insights and practical applications, Frontiers in Signal Processing is poised to play a vital role in shaping future developments in this dynamic field.

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.

EURASIP Journal on Image and Video Processing, published by Springer, is a leading open-access journal dedicated to the dissemination of significant advancements in the field of image and video processing. Since its inception in 2007, the journal has been pivotal in bridging the gap between theoretical research and practical applications, serving a diverse audience of researchers, professionals, and students. With an impressive impact factor reflected in its 2023 Scopus rankings—ranking Q2 in Electrical and Electronic Engineering, Information Systems, and Signal Processing—this journal showcases innovative methodologies, applications, and technologies in the realm of image and video processing. Authors benefit from the journal's open-access model, promoting widespread visibility and accessibility of their work. Located in the heart of New York City, the journal continues to evolve, covering converged years from 2007 to 2024, ensuring it remains at the forefront of research in a rapidly changing technological landscape.

Journal of Signal Processing Systems for Signal Image and Video Technology, published by SPRINGER, is a leading interdisciplinary journal dedicated to advancing research and development in the fields of signal processing, image processing, and video technology. With an ISSN of 1939-8018 and an E-ISSN of 1939-8115, this journal emphasizes both theoretical and practical applications, boasting a wide scope that ranges from control and systems engineering to hardware architecture. Since its inception in 2008, it has gained a solid reputation, reflected in its 2023 category quartile rankings—including Q2 in Control and Systems Engineering and Q3 in Signal Processing—demonstrating its significance within the academic community. The journal is underpinned by a commitment to open access, promoting broad dissemination of knowledge, and is particularly vital for researchers, professionals, and students looking to contribute to and stay updated in these rapidly evolving fields. With ongoing explorations into the convergence of technology and methodology until 2024, the journal stands as a crucial resource for the latest innovations and discussions in signal processing systems.

The International Journal of Digital Multimedia Broadcasting is a leading scholarly platform dedicated to the interdisciplinary exploration of digital multimedia broadcasting, published by HINDAWI LTD. With an ISSN of 1687-7578 and an E-ISSN of 1687-7586, this Open Access journal has made significant strides since its inception in 2008, ensuring wide accessibility and dissemination of research. Based in the United States, at Adam House, 3rd Flr, 1 Fitzroy Sq, London W1T 5HF, England, the journal covers a range of topics relevant to Communication, Electrical and Electronic Engineering, and Media Technology, boasting impressive Scopus rankings that highlight its influence in these fields. As part of the Q3 category in Communication and Electrical Engineering, and Q2 in Media Technology for 2023, the journal serves a vital role in fostering the understanding of technological advancements and their applications in multimedia broadcasting. Researchers, professionals, and students are encouraged to contribute to and benefit from the journal's rich repository of knowledge, paving the way for innovative developments in this dynamic industry.

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.

Traitement du Signal, published by the INT Information & Engineering Technology Association, is a distinguished journal that serves the vibrant field of Electrical and Electronic Engineering. With an ISSN of 0765-0019 and an E-ISSN of 1958-5608, this journal has made significant contributions to the discipline since its inception. While it currently operates under a non-open access model, it maintains its commitment to disseminating valuable research from 2010 to 2023, despite its recent discontinuation in Scopus coverage. Recognized in the third quartile (Q3) of the category in 2022, the journal provides a platform for researchers, professionals, and students to publish their findings on topics such as signal processing, communications, and related technologies. By curating high-quality articles, Traitement du Signal plays a crucial role in advancing knowledge and fostering innovation within the electrical and electronic engineering community.

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.