The 9th International Conference on Video and Image Processing (ICVIP 2025)

The 9th International Conference on Video and Image Processing (ICVIP 2025) explores advancements in video and image processing, covering innovative techniques, tools, and applications across various domains. 

Topics

• 3D images and models
• Virtual reality, visualization, and education
• Real-time rendering for VR
• Surface modeling
• Simulation and virtual reality
• Machine learning technologies for vision
• Image/video summarization and visualization
• Compression methods
• Ontologies for annotation and search of images and videos
• Advanced descriptors and similarity metrics for images, audio and video
• Rendering methods
• Learning and relevance feedback in image/video retrieval
• Virtual environments
• Sound rendering technologies
• Virtual reality techniques for behavioral and cognitive assessment
• Illumination and reflection techniques
• Image geometry and multi-view geometry
• Image compression, coding, and encryption
• Novel image data management systems and applications
• e-Learning applications and computer graphics
• Case studies and emerging technologies
• Studies of information-seeking behavior among image/video users
• Image feature extraction
• Virtual reality software tools and languages
• Classification and clustering techniques
• Content-based indexing, search, and retrieval of images & videos
• Applications in broadcast, web, cultural heritage, satellite, forensic, and (bio-)medical image and video collections
• Virtual laboratories
• Image/video search and browsing on the Web
• Object recognition
• Database architectures for image/video retrieval
• Multimodal human computer interaction
• Computer art and entertainment (including games)
• Virtual humans and artificial life
• Image generation, acquisition, and processing
• Visual computing and graphics
• Curves and meshes
• Virtual reality and emerging applications
• Sound rendering technologies
• Modeling of natural scenes and phenomena
• Real-time collision detection algorithms
• Color and texture

Who should Attend

• Academics and researchers in computer graphics
• Video and image processing professionals
• Engineers and software developers
• Artists and designers interested in virtual reality
• Technologists focused on machine learning applications
• Industry professionals working on simulation and rendering
• Data scientists specializing in image feature extraction
• Students in related fields
• Experts in VR and multimedia applications
• Developers of e-learning tools and virtual environments