- Special Session 4 -
Advanced Intelligent Information Processing for Visual Data: Algorithms and Applications
● Please submit via: Electronic Submission System (Please choose Special Session 4)
- The exponential growth of visual data from diverse sources—such as remote sensing satellites, surveillance cameras, and mobile devices—demands sophisticated intelligent information processing techniques to extract meaningful insights. This special session focuses on the development and application of advanced algorithms, including but not limited to deep learning, swarm intelligence, and multimodal large models, for tackling challenges in visual data analysis. We seek contributions that address fundamental issues like data noise, high dimensionality, and computational efficiency, as well as novel applications in emerging fields. The session aims to highlight the synergy between theoretical algorithm design and practical problem-solving in complex visual environments, fostering discussions on how intelligent information processing is reshaping the landscape of graphics and image processing.
- ● Related topics | 征稿主题
Topics of interest include, but are not limited to:
● Robust image denoising, inpainting, and enhancement
● Feature learning and representation for image analysis
● AI-driven image segmentation and feature extraction
● Efficient neural network architectures for visual recognition
● Swarm intelligence and evolutionary algorithms for feature selection and optimization
● Knowledge-guided visual understanding and reasoning
● AI-driven approaches for image fusion and multimodal data integration
● Multimodal representation learning for visual understanding
● Intelligent algorithms for UAV-based remote sensing and resource allocation
● Resource allocation and optimization in edge computing and IoT networks
● Medical image analysis for computer-aided diagnosis
● Real-time video analysis for smart cities
● ......
● Organizer
Prof. Siling Feng, Hainan University, China
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