Northwestern University

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Filtering by: Keyword ConvLSTM Resource type Dissertation Subject Electrical engineering

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Neural Network Approaches for Video Transmission, Motion Estimation and Error Concealment

Description:

Abstract The work presented in this dissertation addresses three broad areas of video signal processing: video transmission, motion estimation and error concealment. In the first category, focused on the source-side, we present two machine learning models for efficient content-aware resource allocation and packet prioritization for video transmission over shared/constrained, lossy...

Keyword:

CNN, Optical Flow, Video Transmission, Neural Networks, ConvLSTM, Motion Estimation, Error Concealment, and Capsule Networks

Subject:

Electrical engineering, Computer engineering, and Computer science

Creator:

Sankisa, Arun

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14822 and etdadmin_upload_685993