The 8th International Conference on Video, Signal and Image Processing (VSIP 2026)

The 8th International Conference on Video, Signal and Image Processing (VSIP 2026) focuses on advanced techniques and applications in video, signal, and image processing, integrating machine learning, AI, and multimedia systems for modern visual data analysis.

Key Topics

• Video Processing & Analysis
  • Video compression and coding standards (H.265, AV1)
  • Real-time video processing algorithms
  • Video super-resolution and enhancement
  • Motion estimation and object tracking
  • 3D video processing and stereo vision
  • Video summarization and retrieval
  • Deep learning for video analytics
  • Video surveillance and activity recognition
  • Video quality assessment and metrics
  • Streaming and adaptive bitrate technologies
  • Video inpainting and restoration
  • Multi-view video processing
• Signal Processing & Applications
  • Adaptive and nonlinear signal processing
  • Biomedical signal analysis
  • Speech and audio signal processing
  • Time-frequency analysis and wavelets
  • Edge and fog computing for signal tasks
  • Sparse signal processing and compressed sensing
  • Radar, sonar, and sensor array processing
  • Signal processing for 5G/6G communications
  • Quantum signal processing
  • IoT-based signal systems
  • Signal denoising and filtering techniques
  • Hardware acceleration for signal processing
• Image Processing & Computer Vision
  • Image segmentation and object detection
  • Deep learning for image classification
  • Medical image processing (MRI, CT)
  • Hyperspectral and multispectral imaging
  • Image fusion and panorama stitching
  • Generative models for image synthesis (GANs, diffusion)
  • Explainable AI in computer vision
  • Document image analysis and OCR
  • Biometric recognition (face, fingerprint, iris)
  • Low-light and underwater image enhancement
  • Image forensics and tampering detection
  • Edge-aware image processing
• Multimedia Systems & Applications
  • Multimedia content analysis and indexing
  • Augmented/Virtual Reality (AR/VR) technologies
  • Multimedia for autonomous vehicles
  • Haptic and tactile multimedia systems
  • Cloud-based multimedia processing
  • Multimedia security and watermarking
  • Human-computer interaction in multimedia
  • Social media content analysis
  • Multimedia for cultural heritage preservation
  • AI-driven multimedia recommendation systems
  • Multimedia standards and interoperability
  • Mobile multimedia applications
• Machine Learning & AI for Visual Data
  • Self-supervised learning for video/image data
  • Few-shot learning in visual recognition
  • Transformer models for visual processing
  • Federated learning for distributed vision systems
  • Bias and fairness in visual AI models
  • Neural architecture search (NAS) for vision tasks
  • AI-powered video generation and deepfakes
  • Reinforcement learning for video analysis
  • Edge AI for real-time visual inference
  • Multimodal learning (text-image-video)
  • AI in remote sensing and satellite imagery
  • Robustness and adversarial attacks in vision models

Who should Attend

• Video, image, and signal processing researchers
• Machine learning and AI specialists for visual data
• Multimedia system developers and engineers
• Academic faculty and graduate students in computer vision
• Industry professionals in broadcasting, surveillance, and AR/VR
• Healthcare imaging and remote sensing technology experts
• Software engineers and data scientists focusing on visual AI