Aims and scope

Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools, and case studies of multimedia applications. Experimental and survey articles are appropriate for the journal. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed.

Specific areas of interest include (but are not limited to):

 Multimedia Tools:
- Multimedia application enabling software
- System software support for multimedia
- Hypermedia
- Performance measurement tools for multimedia
- Multimedia authoring tools
- System hardware support for multimedia
- Multimedia databases and retrieval
- Web tools and applications

Multimedia Applications:
+ Prototype multimedia systems and platforms
- Multimedia on information superhighways

+ Home
- Video on-demand
- Interactive TV
- Home shopping
- Remote home care
- Electronic album
- Personalized electronic journals

+ Education and Training
- Computer aided instruction
- Distance and interactive training
- Multimedia encyclopedias
- Interactive training on the web

+ Operations
- Command and control
- Process control
- CAD/CAM
- Air traffic control
- On-line monitoring
- Multimedia security systems

+ Public
- Digital libraries
- Electronic museum
- Networked kiosk systems (medical, legal, banking, shopping, tourist)

+ Business Office
- Executive information systems
- Remote consulting systems
- Video conferencing
- Multimedia mail
- Multimedia documents
- Advertising
- Collaborative work
- Electronic publishing

+ Visual Information Systems

Special Issue on AI-Driven Immersive Multimedia
Día de Entrega: 2026-03-01

This special issue builds upon the “Intelligent Immersification in the Immersive Multimedia” workshop organized at ACM Multimedia 2025, which explores how AI transforms immersive multimedia systems. Selected workshop papers and invited contributions from academia and industry will be considered, ensuring diverse, high-quality participation.

This Special Issue will provide a multidisciplinary platform for researchers and practitioners exploring the intersection of AI and immersive multimedia technologies.

This special issue aligns closely with Multimedia Tools and Applications (MTAP)’s mission to publish cutting-edge research on multimedia systems, applications, and intelligent content processing.

The convergence of Artificial Intelligence (AI) and immersive multimedia technologies within the Immersive Multimedia is transforming how humans interact with digital environments. This special issue will explore how AI empowers next-generation immersive systems through synthetic data, intelligent avatars, multimodal sensing, and generative simulation, creating adaptive, interactive, and human-centered virtual worlds.

By integrating methods from AI, human-computer interaction, cognitive modeling, and multimedia engineering, this issue contributes directly to MTAP’s goals of advancing the theory, tools, and applications for multimedia intelligence.

Special Issue on Rich Media with Generative AI: Creation, Control, and Efficient Representation
Día de Entrega: 2026-03-31

This special issue serves as a forum for disseminating recent advances that integrate generative intelligence with multimedia representation, communication, and system efficiency. It emphasizes principled methodologies and practical frameworks that advance the creation, control, and delivery of rich media content across visual, textual, and multimodal domains.

The issue welcomes contributions that address both theoretical advances and practical implementations bridging generative modeling and multimedia systems. Submissions may explore algorithmic innovation, system design, evaluation methodologies, or applied technologies that contribute to more controllable, efficient, and scalable generative multimedia frameworks. Topics of interest include, but are not limited to:

• Generative models for multimedia synthesis, restoration, and enhancement
• Efficient representations and tokenized compression for generated content
• Diffusion, transformer, and foundation models for media creation and editing
• 3D and 4D scene generation, neural rendering, and view synthesis
• Cross-modal generation, style transfer, and multimodal alignment
• Controllable and interpretable generative modeling for interactive applications
• Compression, distillation, and inference acceleration of generative models
• Perceptual evaluation, benchmarking, and large-scale multimodal datasets
• Generative augmentation for embodied AI, gaming, and simulation
• End-to-end systems for efficient multimedia delivery and rendering

The special issue particularly encourages submissions that demonstrate how generative AI can be translated into deployable multimedia tools and applications, addressing real-world constraints in scalability, controllability, and quality.

Guest Editors

Dr. Wei Jiang, Futurewei Technologies, vwjiang@gmail.com
Dr. Zhenghao Chen: University of Newcastle, zhenghao.chen@newcastle.edu.au
Dr. Dong Xu: University of Hong Kong, dongxu@cs.hku.hk

Submission deadline and overall timeline:

Submission deadline – March 31, 2026
Tentative publication date: (Online First) – Q4 2026

Proposed deadlines for reviewing, author revision and final notification:

First review decisions – April 30, 2026
Revised manuscript deadline – May 30, 2026
Final decisions – June 30, 2026
Camera-ready manuscripts deadline – July 15, 2026

Special Issue on Empowering Patients Through AI, Multimedia, and Explainable HCI: Innovations in Personalized Healthcare
Día de Entrega: 2026-07-31

The empowerment of patients is emerging as a central focus in the digital transformation of healthcare. The integration of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Explainable AI (XAI) presents an unprecedented opportunity to develop transparent, intuitive, and patient-centered technologies. However, while AI advancements—such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)—offer transformative tools for diagnostics, treatment, and personalized care, their complexity often limits patients’ trust, understanding, and engagement.

Patient empowerment relies on solutions that demystify complex AI-driven insights, fostering trust and enabling individuals to actively participate in their healthcare journey. Explainable AI (XAI) addresses this need by making AI outputs interpretable and transparent, ensuring patients can comprehend and trust the information being presented. Combined with HCI principles, XAI-enabled multimedia tools—such as medical videos, images, interactive dashboards, wearable devices, and virtual health assistants—make health data more engaging, accessible, and actionable.

This special issue explores how the convergence of AI, HCI, and multimedia technologies can empower patients through tools that improve health literacy, facilitate informed decision-making, and foster collaboration with clinicians. By prioritizing patient trust, transparency, and accessibility, these innovations aim to transform healthcare into a truly inclusive and empowering experience.

Topics of interest include, but are not limited to:

Explainable HCI for Multimedia-Enhanced Patient Tools
Explainable Diagnostics and Patient-Centered Interfaces
HCI and XAI in Mental Health Management
Trustworthy and Ethical XAI for Healthcare Multimedia
Patient Education and Engagement Through XAI
Technical and Multimedia Innovations for Healthcare
Ethical and Regulatory Considerations
Enhancing Physician Support Through Integrated AI and Multimedia Solutions

Important Dates

Submission Open: October 20, 2025
Submission Deadline: July 31, 2026