UBC Digital Multimedia Lab
UBC Digital Multimedia Lab
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Mahsa Pourazad
Ph.D
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A Dimmed Display Image Enhancement Technique for Energy Conservation
A Novel No-Reference HD Video Quality Metric Based on Perceptual Temporal Pooling
Multimodal Cooperative 3D Object Detection for Autonomous Driving
A Color Preserving Down-sampling Approach for 8K to 4K HDR Images
A Deep Learning-Based No-Reference Quality Metric for High-Definition Images Compressed With HEVC
Federated Semi-Supervised Learning for Object Detection in Autonomous Driving
Gradient-based Offset Compensation for Edge Corrections on 8K Video Transmission using 4K Tiles
A Spatial Calibrated and Colour Corrected Light Field Outdoor Video Dataset from a 5x5 Dense Camera Array
Federated Monocular 3D Object Detection for Autonomous Driving
A Generative Adversarial Network Based Tone Mapping Operator for 4K HDR Images
Comparison of Modern Compression Standards on Medical Images for Telehealth Applications
Investigating Suitability of Inverse Tone Mapping for Medical Images
Deep Learning Based Camera Switching for Sports Broadcasting
A Security-Centric Deep Learning Enabled Camera Solution for Real-Time Human Fall Detection
A Deep Learning Based Human Fall Detection Solution
A Deep Learning based Unoccupied Parking Space Detection Method for City Lots
An Efficient Pseudo-Sequence-Based Light Field Video Coding Utilizing View Similarities for Prediction Structure
Epipolar Shift Compensated Light Field Video Quality Metric
An Efficient Refocusing Scheme for Camera-Array Captured Light Field Video for Improved Visual Immersiveness
An efficient three-dimensional prediction structure for coding light field video content using the MV-HEVC standard
Deep Learning Based Street Parking Space Detection in Real-Time
Deep Learning-Based HDR Image Upscaling Approach for 8K UHD Applications
A Deep Learning Based Approach for Camera Switching in Amateur Ice Hockey Game Broadcasting
A Fully Automatic Content Adaptive Inverse Tone Mapping Operator With Improved Color Accuracy
An Object-Based Refocusing Scheme for Light Field Video Content
Learning-Based Light Field View Synthesis for Efficient Transmission and Storage
Methods and Apparatuses for Tone Mapping and Inverse Tone Mapping
Comparison of Emerging Video Compression Schemes for Efficient Transmission of 4K and 8K HDR Video
Deep Learning based Street Parking Sign Detection and Classification for Smart Cities
A Perception-Based Inverse Tone Mapping Operator for High Dynamic Range Video Applications
Differences in Visual Attention for HDR and SDR Content
A Deep Learning Based Spatial Super-Resolution Approach for Light Field Content
A New Large-scale Video Dataset for Human Fall Detection
A Color Adjustment Method for HDR Display of Video Content Received Over Wireless Multimedia Networks
A Novel Chroma Representation for Improved HDR Video Compression Efficiency using the HEVC Standard
A Novel Chroma Processing Scheme for Improved Color Accuracy of HDR Video Content
Methods and Apparatuses for Tone Mapping and Inverse Tone Mapping
A Non-Intrusive Deep Learning Based Fall Detection Scheme Using Video Cameras
Light Field Video Content of Outdoor Scene from a 5x5 Camera Array
Redistribution of chroma information for improved HDR color representation
SSIM Assisted Pseudo-sequence-based Prediction Structure for Light Field Video Compression
Improving Color Accuracy of HDR Video Content
A Novel Chroma Processing Scheme for Improved Color Accuracy of HDR Video Content
Light Field Video Compression for Random Access Efficiency
An Efficient Random Access Light Field Video Compression Utilizing Diagonal Inter-View Prediction
A High Contrast Video Inverse Tone Mapping Operator for High Dynamic Range Applications
A New Prediction Structure for Efficient MV-HEVC based Light Field Video Compression
An Entropy-Based Inverse Tone Mapping Operator with Improved Color Accuracy for High Dynamic Range Applications
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