Browsing School of Computing and Engineering (UMKC) by Thesis Advisor "Li, Zhu"
Now showing items 1-8 of 8
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Advanced Light Field Frame Prediction For Optimized Compression
(University of Missouri--Kansas City, 2017)Current light field compression techniques lack robustness to handle both rate distortion optimized motion compensation as well as latency during the encoding and decoding process. This paper focuses on a contribution ... -
Compression for Machine Vision and Beyond
(2020)Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms ... -
Deep Learning Based Point Cloud Processing and Compression
(2022)A point cloud is a 3D data representation that is becoming increasingly popular. Recent significant advances in 3D sensors and capturing techniques have led to a surge in the usage of 3D point clouds in virtual reality/augmented ... -
Deep learning-based artifacts removal in video compression
(2021)The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts, extensive filtering techniques were ... -
Deep learning-based optimization of light field processing
(2023)As commonly acknowledged, light field technology offers a multi-dimensional extension for image processing by capturing both the intensity and direction of light rays, resulting in a more comprehensive representation of ... -
Improving Extreme Low-light Image Denoising via Residual Learning
(2019)Taking a satisfactory picture in a low-light environment remains a challenging problem. Low-light imaging mainly suffers from noise due to the low signal-to-noise ratio. Many methods have been proposed for the task of image ... -
Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling
(University of Missouri--Kansas City, 2017)Robust content identification and de-duplication of video content in networks and caches have many important applications in content delivery networks. In this work, we propose a scalable hashing scheme based Fisher ... -
Vision task driven image super-resolution and image enhancement
(2021)In visual object recognition problems, low-light exposure, and low-quality images present great challenges in a variety of navigation and surveillance use cases. Recent advancements in deep learning-based methods may ...