Advances in Intelligent Computer Vision and Multimedia Applications

Dear Colleagues,

This Special Issue, “Advances in Intelligent Computer Vision and Multimedia Applications”, is focused on the intersection of advanced Artificial Intelligence (AI) techniques—specifically deep learning and computer vision—with the broad field of multimedia. The advent of intelligent algorithms capable of multimodal understanding is set to transform the landscape of multimedia applications. To facilitate this, we aim to highlight research that not only improves visual understanding but also addresses the efficiency, scalability, and interpretability of intelligent systems deployed in real-world multimedia environments.

• Focus: To highlight how intelligent algorithms are transforming the way we are capture, process, analyze, and interact with multimedia data (images, audio, video, and 3D models), moving beyond traditional signal processing to semantic understanding and generative capabilities.
• Scope: Encompasses a broad spectrum of emerging technologies, ranging from deep learning architectures (such as Vision Transformers and Diffusion Models) to real-time applications in surveillance, multimodal integration, and edge computing in multimedia environments.
• Purpose: To bridge the gap between theoretical advancements in computer vision and their practical application in multimedia systems, shifting the spotlight toward semantic understanding, generative capabilities, and intelligent automation.

While the existing literature is rich in computer vision theory and standalone multimedia networking, this Special Issue will usefully supplement current research by focusing mainly on the “intelligent” convergence of these fields. It extends the literature beyond static image analysis or data transmission, highlighting dynamic, context-aware systems that can reason about and interact with complex environments.

This Special Issue connects pure computer vision algorithms with practical multimedia systems (Integration vs. Isolation), fills a critical void regarding Generative AI's impact on content creation and verification, and prioritizes multimodal synergy (combining audio, visual, and text) over the single-modality approach.

Dr. Jiajia Li
Dr. Dong Chen
Guest Editors

Manuscript Submission Information

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