About the Journal

Academic Insight Journal of Multimedia & Information Engineering (AIJMIE) is a bi-monthly, open-access, peer-reviewed journal dedicated to publishing high-quality original research at the intersection of multimedia systems and information engineering.

  • Scope:
    • Multimedia data processing (image/video analysis, feature extraction, retrieval)
    • Signal and network optimization
    • Computer vision & pattern recognition (object detection, 3D reconstruction, scene understanding)
    • Data mining & knowledge discovery
    • Artificial intelligence & machine learning
    • Soft computing & evolutionary algorithms
    • Human–computer interaction, UI/UX & informatics engineering
    • Emerging delivery technologies (IoT, edge/fog computing, 5G/6G)
    • Big data analytics & cloud computing
    • Network security & privacy in multimedia systems
    • Natural language processing & multimodal interfaces
    • Multimedia retrieval & recommendation systems
    • Blockchain applications in information engineering
    • Speech & audio signal processing
  • Publication Frequency: Six issues per year (every two months: January, March, May, July, September, November)
  • Format: Online only; all articles freely available under a CC BY 4.0 license
  • ISSN: [print ISSN], [online ISSN]
  • DOI Assignment: All published articles receive a CrossRef DOI for persistent access and citation
  • Indexing: Google Scholar, DOAJ, CrossRef, PubMed, and selected abstracting services
  • Submission Types: Original Research Articles only (up to 8,000 words, including references)
  • Review Process: Double-blind peer review with an average turnaround of 6–8 weeks

Welcome from the Editor-in-Chief

On behalf of the Editorial Board of AIJMIE, I am pleased to welcome you to our journal. Our mission is to publish rigorous, open-access research that advances multimedia systems and information engineering. We invite you to explore our latest issue and consider submitting your own work.

Call for Papers: Special Issue on Computer Vision Advances

Deadline for submission: 31 December 2025. We invite original research and review articles on all aspects of computer vision, including but not limited to:
• Deep learning for image and video analysis
• Object detection & instance segmentation
• 3D reconstruction & scene understanding
• Visual SLAM, tracking, and motion estimation
• Medical & remote sensing image processing
• Multimodal vision and language integration
• Explainable AI and interpretability in vision systems
Read more & submit your paper.

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