Artificial Intelligence in Multimedia: Generation, Synthesis, Analysis, and Security
This special issue belongs to the section "Learning".
Special Issue Information
Dear Colleagues,
The landscape of multimedia processing has evolved into a highly complex, multimodal, and immersive ecosystem. Artificial Intelligence (AI) now serves as the core factor driving this field toward high-level semantic understanding, data-driven optimization, and advanced content generation. Despite these achievements, AI-powered multimedia systems still face significant bottlenecks in real-world deployment. Current frameworks continue to face varied key challenges, such as achieving robust generalization in open-world multimodal understanding, optimizing multimedia coding efficiency, and ensuring precise control in generative synthesis. Furthermore, critical issues such as managing large-scale multimedia data, defending against adversarial attacks, and effectively fusing multi-sensor data for complex applications still need to be further explored. To address these evolving challenges, this Special Issue provides a comprehensive forum for researchers and practitioners to present their latest theoretical advances and technological innovations. We will gather cutting-edge research at the intersection of AI and multimedia, focusing on core areas including multimodal analysis, intelligent coding, generative synthesis, large-scale data systems, trustworthy security, and smart applications. We welcome high-quality original research papers and comprehensive survey articles. Topics of interest include, but are not limited to, Open-World Multimodal Understanding and Cross-Modal Alignment; AI-Driven Multimedia Compression and Coding; Generative AI for Multimedia Synthesis, Enhancement, and Quality Assessment; Large-Scale Multimedia Data Management and Analytics; Privacy-Preserving Computing, Deepfake Detection, and Multimedia Forensics; Artificial Intelligence-based Digital Watermarking and Information Hiding Techniques; Trustworthy Multimedia Intelligence, Adversarial Robustness, and Proactive Defense; and Multi-Sensor Fusion and AI-Powered Multimedia Applications for Smart Cities and IoT.
Prof. Dr. Zhili Zhou
Dr. Weiwei Jiang
Dr. Haoyu Chen
Dr. Qing Liu
Dr. Han Wu
Guest Editors
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Keywords
- machine learning
- artificial intelligence
- multimedia processing
- multimodal understanding
- generative AI
- multimedia security
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