Computer Vision and Image Processing: Technologies and Applications for Multimedia Systems

Dear Colleagues,

In recent years, Computer Vision has emerged as a key enabler of intelligent information systems, transforming the way we process and interpret visual data. These technologies play a fundamental role in extracting structured information from unstructured image and video sources, supporting a wide range of applications.

This Special Issue provides a platform for researchers and practitioners to share recent developments, innovative algorithms, and applied solutions that advance the integration of Computer Vision into multimedia technologies. We welcome contributions that demonstrate how vision systems enhance multimedia experiences—whether through content understanding, dynamic interaction, visual augmentation, or intelligent streaming.

Applied contributions are encouraged, particularly those that explore the intersection of information theory and Computer Vision, specific to multimedia systems, such as intelligent video streaming, real-time content adaptation, semantic video summarization, interactive AR/VR environments, vision-based user interaction, and multimedia data fusion in IoT or smart city platforms.

Topics of interest include, but are not limited to, the following:

• Advanced algorithms for multimedia content enhancement and restoration (e.g., image/video enhancement, denoising, super-resolution).
• Visual data compression and transmission methods optimized for multimedia streaming platforms.
• Real-time multimedia systems and embedded vision processing solutions for multimedia applications.
• Vision-based dynamic texture analysis, synthesis, and classification for multimedia applications.
• Computer Vision integration with AR/VR multimedia systems.
• Semantic understanding, scene interpretation, and content indexing for multimedia retrieval systems.
• AI-driven multimedia analytics, including deep learning approaches for multimedia understanding.
• Vision-enabled multimedia applications for smart cities and urban environments (e.g., urban landmark detection, multimedia surveillance).
• Multimedia vision systems leveraging IoT networks and sensor fusion.
• Multimedia systems supporting advanced e-learning, training, and interactive communication.

We invite researchers and practitioners to contribute original research articles and reviews that advance the state of the art in vision-based information technologies.

Dr. Ciprian Orhei
Dr. Muguras Mocofan
Dr. Radu Vasiu
Guest Editors

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