Date of Award
6-2020
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2020.
Degree Name
Master of Science (MS)
Department
Computer Science and Engineering
First Advisor
Ying Liu
Abstract
Video data makes up 58% of all internet traffic and is growing as self-driving car cameras, 4K televisions, and video surveillance systems continue to come online. Traditional heuristics based image and video codecs such as JPEG and HEVC have been successful thus far, however, these approaches lack the ability to leverage big data to gain massive insights. Six deep learning based approaches are proposed to tackle efficient image/video compression and image compression for machine classification.
Recommended Citation
Bellay, Zachary Daniel, "Deep Learning Methods for Efficient Image Coding" (2020). Computer Science and Engineering Master's Theses. 20.
https://scholarcommons.scu.edu/cseng_mstr/20