* indicates that this line can be assigned as a paper's topic.
| 1: | SRD: Image & Video Sensing, Representation, and Display | ||
| 1.1: | SRD-SEN Image & Video Sensing and Acquisition | ||
| 1.1.1*: | Scanning, sampling and quantization | ||
| 1.1.2*: | Sensor systems and distributed sensing | ||
| 1.1.3*: | Video stabilization and autofocus | ||
| 1.1.4*: | Intrinsic and extrinsic camera model estimation | ||
| 1.1.5*: | Coded aperture systems | ||
| 1.1.6*: | Omnidirectional imaging and plenoptics | ||
| 1.1.7*: | Scanners and cameras | ||
| 1.1.8*: | Imaging sensors | ||
| 1.1.9*: | High dynamic range imaging | ||
| 1.2: | SRD-REP Image & Video Representation and Modeling | ||
| 1.2.1*: | System and image-prior modeling | ||
| 1.2.2*: | Bayesian methods | ||
| 1.2.3*: | Statistical regularization techniques | ||
| 1.2.4*: | Model selection | ||
| 1.2.5*: | Algorithms for iterative and recursive estimation | ||
| 1.2.6*: | Noise and system models | ||
| 1.2.7*: | Natural image models | ||
| 1.2.8*: | Morphological models | ||
| 1.2.9*: | Graphical and tree-based models | ||
| 1.2.10*: | Semantic models | ||
| 1.2.11*: | Multi-scale and multi-orientation representation | ||
| 1.2.12*: | Geometry and texture representation | ||
| 1.2.13*: | Object based representation | ||
| 1.2.14*: | Hierarchical representation | ||
| 1.2.15*: | Sparse representation | ||
| 1.3: | SRD-SRV Image & Video Synthesis, Rendering, and Visualization | ||
| 1.3.1*: | Image rendering | ||
| 1.3.2*: | Texture synthesis | ||
| 1.3.3*: | Visualization and graphic rendering | ||
| 1.3.4*: | Image and video synthesis | ||
| 1.3.5*: | Image-based representation and rendering | ||
| 1.4: | SRD-HPM Image & Video Perception and Quality Models | ||
| 1.4.1*: | Human visual system modeling | ||
| 1.4.2*: | Perceptually optimized algorithms and methods | ||
| 1.4.3*: | Quality metrics and assessment tools | ||
| 2: | TEC: Image & Video Processing Techniques | ||
| 2.1: | TEC-PRC Linear and Nonlinear Filtering | ||
| 2.1.1*: | Linear and nonlinear filtering | ||
| 2.1.2*: | Morphological filtering | ||
| 2.1.3*: | Regression techniques | ||
| 2.2: | TEC-PDE Partial Differential Equation Based Processing | ||
| 2.2.1*: | Level set methods | ||
| 2.2.2*: | Anisotropic diffusion | ||
| 2.3: | TEC-MRS Multiresolution Processing | ||
| 2.3.1*: | Wavelets | ||
| 2.3.2*: | Filter banks | ||
| 2.3.3*: | Scale-space | ||
| 2.3.4*: | Multigrid methods | ||
| 2.3.5*: | Hierarchical processing | ||
| 2.4: | TEC-RST Restoration and Enhancement | ||
| 2.4.1*: | Contrast enhancement, deblurring and denoising | ||
| 2.4.2*: | Multiframe image restoration | ||
| 2.4.3*: | Inpainting and image synthesis | ||
| 2.5: | TEC-ISR Interpolation, Super-resolution, and Mosaicing | ||
| 2.5.1*: | Interpolation and superresolution | ||
| 3: | COM: Image & Video Communications | ||
| 3.1: | COM-COD Lossless and Lossy coding | ||
| 3.1.1*: | Transform coding | ||
| 3.1.2*: | Perceptual coding | ||
| 3.1.3*: | Motion compensated coding | ||
| 3.1.4*: | Wavelet-based coding | ||
| 3.1.5*: | Scalable coding | ||
| 3.1.6*: | Transcoding | ||
| 3.1.7*: | Image/Video compression standards | ||
| 3.1.8*: | Distributed coding | ||
| 3.1.9*: | Multispectral and biomedical image compression | ||
| 3.1.10*: | Lossless and near lossless coding | ||
| 3.1.11*: | Predictive coding | ||
| 3.1.12*: | Reversible transforms | ||
| 3.1.13*: | Machine learning for image/video compression | ||
| 3.2: | COM-ERC Error Resilience and Channel Coding | ||
| 3.2.1*: | Joint source/channel coding | ||
| 3.2.2*: | Error resilience and error concealment | ||
| 3.2.3*: | Video streaming | ||
| 3.2.4*: | Content adaptation | ||
| 3.3: | COM-NET Image & Video Networked Communications | ||
| 3.3.1*: | Sensor networks | ||
| 3.3.2*: | Networking | ||
| 3.3.3*: | Image and video communication protocols | ||
| 3.3.4*: | Multimedia with image and video content | ||
| 3.3.5*: | Multimedia event synchronization | ||
| 3.3.6*: | Multimedia coding and transmission | ||
| 4: | ECI: Electronic and Computational Imaging | ||
| 4.1: | ECI-COL Color and Multispectral Imaging | ||
| 4.1.1*: | Color imaging | ||
| 4.1.2*: | Multispectral and hyperspectral imaging | ||
| 4.2: | ECI-DOC Scanned Document Processing | ||
| 4.2.1*: | Quantization and halftoning | ||
| 4.2.2*: | Display and printing systems | ||
| 4.2.3*: | Print quality assessment | ||
| 4.2.4*: | Page segmentation | ||
| 4.2.5*: | Text/graphics/picture classification | ||
| 4.2.6*: | Background suppression | ||
| 4.2.7*: | Optical character recognition | ||
| 4.2.8*: | Binary image coding | ||
| 4.2.9*: | Document analysis and synthesis | ||
| 4.3: | ECI-STE Stereoscopic, Multiview, and 3D Processing | ||
| 4.3.1*: | Stereo image processing | ||
| 4.3.2*: | Multiview image processing | ||
| 4.3.3*: | 3D modeling & synthesis | ||
| 4.3.4*: | Camera calibration | ||
| 4.3.5*: | Stereoscopic, multiview and 3-D coding | ||
| 4.3.6*: | Stereoscopic and multiview displays and systems | ||
| 4.4: | ECI-IMT Computational Imaging Methods and Models | ||
| 4.4.1*: | Compressed Sensing | ||
| 4.4.2*: | Statistical Image Models | ||
| 4.4.3*: | Sparse and Low Rank Models | ||
| 4.4.4*: | Graphical Image Models | ||
| 4.4.5*: | Learning-Based Models | ||
| 4.4.6*: | Perceptual Image Models | ||
| 4.5: | ECI-CIF Computational Image Formation & Reconstruction | ||
| 4.5.1*: | Sparsity-Based Reconstruction | ||
| 4.5.2*: | Statistically-Based Inversion | ||
| 4.5.3*: | Multi-Image & Sensor Fusion | ||
| 4.5.4*: | Optimization-based Inversion Methods | ||
| 4.5.5*: | Inverse methods | ||
| 4.5.6*: | Tomography and reconstruction | ||
| 5: | IVA: Image & Video Analysis | ||
| 5.1*: | AI for Image & Video Analysis | ||
| 5.2: | IVA-SEG Image & Video Segmentation | ||
| 5.2.1*: | Segmentation | ||
| 5.2.2*: | Edge and boundary detection | ||
| 5.2.3*: | Active-contour and level-set methods | ||
| 5.3: | IVA-MOT Motion Estimation and Analysis | ||
| 5.3.1*: | Motion estimation and optical flow | ||
| 5.4: | IVA-SHA Shape Analysis | ||
| 5.4.1*: | Shape classification | ||
| 5.4.2*: | Morphological analysis methods | ||
| 5.4.3*: | Shape models and metrics | ||
| 5.4.4*: | Stochastic shape and region models | ||
| 5.4.5*: | Local features | ||
| 5.5: | IVA-TEX Texture Analysis | ||
| 5.5.1*: | Texture representation and description | ||
| 5.5.2*: | Texture classification | ||
| 5.6: | IVA-REG Image Registration, Fusion, and Matching | ||
| 5.6.1*: | Mosaicing, registration and alignment | ||
| 5.6.2*: | Multi-image fusion | ||
| 6: | IVIU: Image & Video Interpretation & Understanding | ||
| 6.1*: | AI for Image & Video Interpretation & Understanding | ||
| 6.2: | IVIU-DET Object Detection and Tracking | ||
| 6.2.1*: | Detection and tracking of objects | ||
| 6.3: | IVIU-REC Object Recognition and Classification | ||
| 6.3.1*: | Object recognition and classification | ||
| 6.4: | IVIU-LRE Image & Video Labeling and Retrieval | ||
| 6.4.1*: | Indexing and retrieval | ||
| 6.4.2*: | Browsing, navigation and relevance feedback | ||
| 6.4.3*: | Metadata extraction and semantic analysis | ||
| 6.4.4*: | Video action, event and scene detection | ||
| 6.4.5*: | Content summarization | ||
| 6.4.6*: | Multimodal retrieval involving image and video | ||
| 6.5: | IVIU-3D 3-D Reconstruction | ||
| 6.5.1*: | Shape-from-X | ||
| 6.5.2*: | Pose estimation | ||
| 6.6: | IVIU-VAE Video Action and Event Analysis | ||
| 6.6.1*: | Change detection | ||
| 6.6.2*: | Foreground/background segregation | ||
| 6.6.3*: | Scene analysis | ||
| 7: | IFS: Information Forensics & Security | ||
| 7.1*: | AI for Information Forensics & Security | ||
| 7.2: | IFS-WAT Image & Video Watermarking, Steganography and Data Hiding | ||
| 7.2.1*: | Theoretical models for watermarking and data hiding | ||
| 7.2.2*: | Watermarking and data hiding algorithms | ||
| 7.2.3*: | Benchmarking and security analysis | ||
| 7.2.4*: | Steganography and steganalysis | ||
| 7.2.5*: | Perceptual models | ||
| 7.3: | IFS-BIM Image & Video Biometric Analysis | ||
| 7.3.1*: | Fingerprint biometrics | ||
| 7.3.2*: | Face and gesture biometrics | ||
| 7.3.3*: | Iris and ocular biometrics | ||
| 7.3.4*: | Vein biometrics | ||
| 7.3.5*: | Other biometric modalities | ||
| 7.3.6*: | Multi-modal biometric systems | ||
| 7.3.7*: | Biometrics security and privacy management | ||
| 7.4: | IFS-FOR Image & Video Forensics | ||
| 7.4.1*: | Natural content forensics | ||
| 7.4.2*: | Imaging sensor forensics | ||
| 7.4.3*: | Image/video processing forensics | ||
| 7.4.4*: | Anti-forensics and countermeasures | ||
| 7.4.5*: | Multi-modal image/video forensics | ||
| 7.4.6*: | Adversarial Multimedia Forensics | ||
| 7.4.7*: | Benchmarking | ||
| 7.5: | IFS-CRY Image & Video Processing and Cryptography | ||
| 7.5.1*: | Image/video encryption | ||
| 7.5.2*: | Image/video processing in the encrypted domain | ||
| 7.5.3*: | Privacy-preserving image/video processing | ||
| 7.6: | IFS-APP Image & Video-based Security and Forensics Applications | ||
| 7.6.1*: | Image/video-based surveillance and intelligence gathering | ||
| 7.6.2*: | Image/video protection, identification and monitoring | ||
| 7.6.3*: | Image/video authentication and tamper detection | ||
| 7.6.4*: | Crime scene imaging analysis | ||
| 7.6.5*: | Secure printed documents | ||
| 7.6.6*: | Social media and network systems | ||
| 7.6.7*: | Cloud and distributed computing systems | ||
| 8: | ISA: Integrated Systems & Applications | ||
| 8.1: | ISA-BIP Biomedical and Biological Image Systems | ||
| 8.1.1*: | Segmentation and quantitative analysis for medical & biomedical images | ||
| 8.1.2*: | Biomedical image registration and fusion | ||
| 8.1.3*: | Feature extraction and classification for medical and biomedical images | ||
| 8.1.4*: | Anatomical, functional and molecular data analysis | ||
| 8.1.5*: | Computer assisted screening and diagnosis | ||
| 8.1.6*: | Visualization of biomedical data | ||
| 8.2: | ISA-CIS Computational Imaging Systems | ||
| 8.2.1*: | Computational Photography | ||
| 8.2.2*: | Mobile Imaging | ||
| 8.2.3*: | Pervasive Imaging | ||
| 8.2.4*: | Human Centric Computing | ||
| 8.2.5*: | Computational Microscopy | ||
| 8.2.6*: | Spectral Sensing | ||
| 8.2.7*: | Tomographic Imaging | ||
| 8.2.8*: | Magnetic Resonance Imaging | ||
| 8.2.9*: | Acoustic Imaging | ||
| 8.2.10*: | Radar Imaging | ||
| 8.2.11*: | Novel Computational Imaging Systems | ||
| 8.2.12*: | High-performance embedded computing systems | ||
| 8.2.13*: | Big Data Computational Imaging | ||
| 8.2.14*: | Integrated Hardware/Digital Design | ||
| 8.2.15*: | Non-traditional Sensor Systems | ||
| 8.3: | ISA-HSS Hardware and Software Systems | ||
| 8.3.1*: | Special purpose hardware systems | ||
| 8.3.2*: | Hardware and software co-design | ||
| 8.3.3*: | Parallel and distributed systems | ||
| 8.3.4*: | Integrated applications | ||
| 9: | Uncategorized Topics | ||
| 9.1*: | Uncategorized Topics | ||
| 10: | Industry Demos | ||
| 10.1*: | Industry Demos | ||
| 11: | 3 Minute Thesis Competition | ||
| 11.1*: | 3 Minute Thesis Competition | ||
| 12: | Challege Session | ||
| 12.1*: | Realistic Single Image Recovering in Adverse Weather | ||
| 12.2*: | ICIP 2019 Challenge on Point Cloud Coding | ||
| 12.3*: | Mosquito Breeding Site Hunting for Dengue Fever Control | ||
| 12.4*: | Improving Open Source HEVC Encoding | ||
| 12.5*: | Mobile Video Restoration | ||