EURASIP Journal on Image and Video Processing

Scope & Guideline

Showcasing Breakthroughs in Visual Data Processing

Introduction

Immerse yourself in the scholarly insights of EURASIP Journal on Image and Video Processing with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1687-5176
PublisherSPRINGER
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2007 to 2024
AbbreviationEURASIP J IMAGE VIDE / EURASIP J. Image Video Process.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The EURASIP Journal on Image and Video Processing is dedicated to advancing the field of image and video processing through the dissemination of high-quality research. The journal covers a wide range of methodologies and applications, emphasizing innovative techniques and their practical implications.
  1. Image Processing Techniques:
    The journal focuses on various image processing methodologies, including denoising, segmentation, and feature extraction, aimed at enhancing image quality and usability across different domains.
  2. Video Processing and Analysis:
    A core area of the journal is video processing, which encompasses compression, enhancement, and real-time analysis, addressing the challenges posed by modern video technologies.
  3. Machine Learning and Deep Learning Applications:
    The integration of machine learning and deep learning techniques in image and video processing is a significant focus, showcasing how these technologies can optimize various processes and improve outcomes.
  4. Biometric and Forensic Applications:
    Research related to biometric recognition and forensic analysis using image and video data is prominently featured, reflecting the growing importance of security and authentication in digital environments.
  5. Multimodal and Multiscale Approaches:
    The journal emphasizes multimodal and multiscale methodologies, exploring how different types of data and scales of analysis can be combined to achieve more comprehensive results.
  6. Real-time and Embedded Systems:
    There is a consistent focus on real-time processing and the development of embedded systems for image and video applications, highlighting the journal's relevance to practical and industrial applications.
Recent publications in the EURASIP Journal on Image and Video Processing indicate a shift towards emerging themes that reflect current technological advancements and societal needs. The following areas are gaining traction.
  1. Deep Learning for Image and Video Processing:
    There is a significant increase in research applying deep learning methods for various tasks in image and video processing, including classification, detection, and enhancement, indicating a trend towards sophisticated computational techniques.
  2. Explainability and Interpretability in AI:
    Emerging themes focus on the explainability of AI models, particularly in biometric applications, emphasizing the need for transparency in automated systems and their decision-making processes.
  3. Real-time and Edge Computing Solutions:
    The trend towards real-time processing and edge computing solutions is gaining momentum, driven by the need for instantaneous analysis in applications such as surveillance and autonomous systems.
  4. Multimodal Data Fusion:
    Research exploring the integration of different data modalities (e.g., image, video, and sensor data) is on the rise, reflecting a holistic approach to processing and analysis that enhances accuracy and robustness.
  5. Ethical and Privacy Considerations:
    An increasing number of studies are addressing ethical concerns related to biometric data usage and privacy issues, highlighting the importance of responsible practices in image and video processing.

Declining or Waning

As the field of image and video processing evolves, certain themes have become less prominent in recent publications. The following areas reflect a waning focus within the journal's scope.
  1. Traditional Image Processing Techniques:
    While foundational techniques remain important, there has been a noticeable decline in publications centered solely on traditional methods, as the field increasingly embraces advanced machine learning approaches.
  2. Theoretical Studies without Practical Applications:
    Papers focusing purely on theoretical aspects of image processing without practical implementation or application have decreased, as there is a growing demand for research that bridges the gap between theory and practice.
  3. Basic Image Manipulation Techniques:
    Research centered on basic image manipulation techniques, such as simple filtering or basic transformations, has seen reduced emphasis in favor of more complex and innovative approaches.
  4. Static Image Analysis:
    There is a marked decline in the frequency of studies dedicated solely to static image analysis, as dynamic and temporal aspects of image and video processing gain prominence.
  5. Low-Resolution Image Processing:
    Research focused on low-resolution image processing is becoming less frequent, as advancements in high-resolution imaging technologies and processing techniques take precedence.

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