VSIP 2025 will
provide fertile ground for engineers and scientists from around the world to
escalate collaboratively the research frontiers within the field of video,
signal and image processing and related areas. Original and unpublished work
relevant to, but are not limited to, the following topics are hereby
solicited.
To see the information of Track Chairs, please kindly
click.
Track 1: Video Processing & Analysis
Track 2: Signal Processing & Applications
- Video compression and coding standards (e.g., 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
- Adaptive and nonlinear signal processing
- Biomedical signal processing and analysis
- Speech and audio signal processing
- Time-frequency analysis and wavelets
- Edge and fog computing for signal processing
- Sparse signal processing and compressed sensing
- Radar, sonar, and sensor array processing
- Signal processing for 5G/6G communications
- Quantum signal processing
- IoT-based signal processing systems
- Signal denoising and filtering techniques
- Hardware acceleration for signal processing
Track 3: Image Processing & Computer Vision
Track 4: Multimedia Systems & Applications
- Image segmentation and object detection
- Deep learning for image classification
- Medical image processing (e.g., 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 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 (HCI) in multimedia
- Social media content analysis
- Multimedia for cultural heritage preservation
- AI-driven multimedia recommendation systems
- Multimedia standards and interoperability
- Mobile multimedia applications
Track 5: 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