* indicates that this line can be assigned as a paper's topic.
| 1: | [MDS] Multidimensional Signal Processing | ||
| 1.1*: | [MDS-ALGO] Algorithms and Multidimensional Transforms | ||
| 1.2*: | [MDS-SMOD] Signal and System Modeling and Identification | ||
| 1.3*: | [MDS-SPEC] Spectral Estimation | ||
| 1.4*: | [MDS-APPL] Applications of Multidimensional Signal Processing | ||
| 2: | [SMR] Image & Video Sensing, Modeling, and Representation | ||
| 2.1*: | [SMR-SEN] Image & Video Sensing and Acquisition | ||
| 2.2*: | [CIF] Computational Image Formation and Reconstruction | ||
| 2.3*: | [CIF-MLI] Machine Learning-based Computational Image Formation | ||
| 2.4*: | [BIO-BI] Biological Imaging | ||
| 2.5*: | [BIO-BCI] Brain/Human-Computer Interfaces | ||
| 2.6*: | [SMR-REP] Image & Video Representation | ||
| 2.7*: | [SMR-HPM] Perception and Quality Models for Images & Video | ||
| 3: | [TEC] Image & Video Processing Techniques | ||
| 3.1*: | [TEC-FOR] Formation and Reconstruction | ||
| 3.2*: | [TEC-RST] Restoration and Enhancement | ||
| 3.3*: | [TEC-ISR] Interpolation, Super-Resolution, and Mosaicing | ||
| 3.4*: | [TEC-PDE] Partial Differential Equation Based Processing of Images & Video | ||
| 3.5*: | [TEC-MRS] Multiresolution Processing of Images & Video | ||
| 3.6*: | [TEC-BIP] Biomedical and Biological Image Processing | ||
| 3.7*: | [TEC-MLI] Machine Learning for Image and Video Processing | ||
| 4: | [COM] Image and Video Communications and Networks | ||
| 4.1*: | [COM-LLC] Lossless Coding of Images & Video | ||
| 4.2*: | [COM-LOC] Lossy Coding of Images & Video | ||
| 4.3*: | [MLR-APPL] Machine Learning for Image and Video Compression | ||
| 4.4*: | [COM-ERC] Error Resilience and Channel Coding for Image & Video Systems | ||
| 4.5*: | [IMA-WMM] Wireless/Mobile Multimedia | ||
| 4.6*: | [COM-MMC] Image & Video Communications | ||
| 4.7*: | [COM-NET] Image & Video Networks and Streaming | ||
| 4.8*: | [IMA-MCCC] Media Cloud Computing and Communication | ||
| 4.9*: | [IMA-SPCPS] Social Media Computing and Networking | ||
| 4.10*: | [COM-WSE] Image & Video Processing for Watermarking and Security | ||
| 5: | [ARS] Image & Video Analysis, Synthesis, and Retrieval | ||
| 5.1*: | [ARS-IVA] Image & Video Mid-Level Analysis | ||
| 5.2*: | [ARS-IIU] Image & Video Interpretation and Understanding | ||
| 5.3*: | [ARS-BIM] Image & Video Biometric Analysis | ||
| 5.4*: | [TEC-BIP] Biomedical and Biological Image Analysis | ||
| 5.5*: | [ARS-SRE] Image & Video Storage and Retrieval | ||
| 5.6*: | [ARS-SRV] Image & Video Synthesis, Rendering, and Visualization | ||
| 5.7*: | [MLR-APPL] Machine Learning for Image and Video Analysis and Retrieval | ||
| 5.8*: | [MLR-APPL-CL Machine Learning for Image and Video Classification | ||
| 5.9*: | [MLR-APPL-OD Machine Learning for Object Detection | ||
| 5.10*: | [MLR-APPL-R Machine Learning for Recognition in Images and Videos | ||
| 5.11*: | [MLR-APPL-OT Machine Learning for Object Tracking | ||
| 5.12*: | [MLR-APPL-EX Explainable Machine Learning for Computer Vision | ||
| 5.13*: | [MLR-APPL-GR Graph Signal Processing for Image and Video Analysis | ||
| 6: | [ELI] Electronic Imaging | ||
| 6.1*: | [ELI-SDP] Image Scanning and Capture | ||
| 6.2*: | [ELI-COL] Color and Multispectral Imaging | ||
| 6.3*: | [ELI-PRT] Printing and Halftoning | ||
| 6.4*: | [ELI-DOC] Scanned Document Analysis, Processing, and Coding | ||
| 6.5*: | [MLR-APPL] Machine Learning in Electronic Imaging and Document Processing | ||
| 7: | [3D] Three-Dimensional Image and Video Processing | ||
| 7.1*: | [3D-STE] Stereoscopic and Multiview Processing and Display | ||
| 7.2*: | [3D-LFI] Light-Field Image Processing and Compression | ||
| 7.3*: | [3D-PCP] Point Cloud Processing and Compression | ||
| 7.4*: | [3D-VID] 3D Image and Video Analysis and Compression | ||
| 7.5*: | [3D-AVR] Image and Video Processing Augmented and Virtual Reality | ||
| 7.6*: | [3D-HDW] Hardware and Software Systems for Image & Video Processing | ||
| 7.7*: | [3D-ML] Machine Learning in 3D Image and Video Processing | ||
| 8: | [IMT] Computational Imaging Methods and Models | ||
| 8.1*: | [IMT-CIS] Coded Image Sensing | ||
| 8.2*: | [IMT-CST] Compressed Sensing | ||
| 8.3*: | [IMT-SIM] Statistical Image Models | ||
| 8.4*: | [IMT-SLM] Sparse and Low Rank Models | ||
| 8.5*: | [IMT-GIM] Graphical Image Models for Computational Imaging | ||
| 8.6*: | [IMT-LBM] Learning-Based Models for Computational Imaging | ||
| 8.7*: | [IMT-PIM] Perceptual Image Models for Computational Imaging | ||
| 9: | [CIS] Computational Imaging Systems and Analysis | ||
| 9.1*: | [CIS-MI] Medical Imaging: Image Formation, Reconstruction, Restoration | ||
| 9.2*: | [ANA] Computational Images Analysis | ||
| 9.3*: | [IMT-LBM] Machine Learning for Computational Images | ||
| 9.4*: | [CIS-CPH] Computational Photography | ||
| 9.5*: | [CIS-MIS] Mobile Imaging | ||
| 9.6*: | [CIS-PIS] Pervasive Imaging | ||
| 9.7*: | [CIS-HCC] Human Centric Computing | ||
| 9.8*: | [CIS-MCI] Microscopic Imaging | ||
| 9.9*: | [CIS-SSI] Spectral Sensing | ||
| 9.10*: | [CIS-TIM] Tomographic Imaging | ||
| 9.11*: | [CIS-MRI] Magnetic Resonance Imaging | ||
| 9.12*: | [CIS-AIM] Acoustic Imaging: Computational Acoustic and Ultrasound Imaging | ||
| 9.13*: | [CIS-RIM] Radar Imaging | ||
| 9.14*: | [CIS-NCI] Novel Computational Imaging Systems | ||
| 9.15*: | [CIS-NLC] Non-Linear Computational Imaging Systems | ||
| 10: | [HSS] Imaging Hardware and Software | ||
| 10.1*: | [HSS-HPC] High-Performance Embedded Computing Systems | ||
| 10.2*: | [HSS-BDC] Big Data Computational Imaging: High Performance Computing | ||
| 10.3*: | [HSS-HDD] Integrated Hardware/Digital Design | ||
| 10.4*: | [HSS-NSS] Non-Traditional Sensor Systems | ||
| 11: | 5-Minute Video Clip Contest (5-MICC) | ||
| 11.1*: | 5-MICC | ||
| 12: | 3 Minute Thesis Competition | ||
| 12.1*: | 3 Minute Thesis Competition | ||
| 13: | PROGRESS @ ICIP 2020 | ||
| 13.1*: | PROGRESS @ ICIP 2020 | ||