Call for Papers
Aim and ScopeIVPAI2020 welcomes author submission of papers concerning any branch of the Image Processing and Artificial Intelligence, and their applications in other subjects.
The conference publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing methods for these purposes.
Submission will be rigorously reviewed, and should clearly make the case for a documented improvement over the existing state-of-the-arts.
It is planned to publish the proceedings with SPIE (final approval pending), and some outstanding papers will be selected to the special issues on the prominent international journals (SCI indexed).
Topics (include but are not limited to)
| Track 1 Image, Speech, Signal and Video Processing |
Track 2 Pattern Recognition and Machine Learning |
|---|---|
| Signal, image and video processing | Statistical and structural pattern recognition |
| Image and video analysis and understanding | Machine learning and data mining |
| Audio and acoustic processing and analysis | Artificial neural networks |
| Segmentation, features and descriptors | Dimensionality reduction and manifold learning |
| Texture and color analysis | Classification and clustering |
| Automatic speech and speaker recognition | Symbolic learning |
| Multimedia analysis, indexing and retrieval | Active and ensemble learning |
| Vision sensors | Deep learning |
| Medical image and signal analysis | Machine learning |
| Computer-aided detection and diagnosis | Support vector machine |
| Image guidance and robot guidance of interventions | Neural networks |
| Face recognition | Bayesian learning |
| Image compression, coding, and encryption | Transfer learning |
| Graph theory in image processing | Reinforcement learning and temporal models |
| Natural language processing | Semi-supervised learning and spectral methods |
| Track 3 Computer Vision |
Track 4 Data Science and Artificial Intelligence Application |
|---|---|
| Vision sensors | Knowledge Engineering |
| Biologically motivated vision | Computational intelligence |
| Illumination and reflectance modeling | Intelligent agent |
| Image based modeling | Intelligent control |
| Physics-based vision | Knowledge management |
| Perceptual organization | Artificial Immune System |
| Computational photography | Big data Data mining |
| 3D shape recovery | Distributed and parallel learning |
| 2D/3D object detection and recognition | Human Computer Interaction |
| Cognitive and embodied vision | Fuzzy Systems and Control |
| Occlusion and shadow detection | Intelligent Systems |
| Vision for graphics | Soft Computing |
| Scene understanding | Graphics algorithms |