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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution

Description:

Super-resolution (SR) has become one of the most critical problems in image and video processing. In Chapter 2 of this thesis, a detailed review of existing Deep Learning (DL) techniques for addressing the SR task, with an emphasis on how DL and analytical techniques can be combined, is provided. Chapter...

Keyword:

Image Processing, Video Processing, Deep Learning, and Super-Resolution

Subject:

Electrical engineering and Computer science

Creator:

Lucas, Alice Marie

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

01/21/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15076 and etdadmin_upload_741221
Context-aware and Attentional Visual Object Tracking

Description:

Visual object tracking, i.e. consistently inferring the motion of a desired target from image sequences, is a must-have component to bridge low-level image processing techniques and high-level video content analysis. This has been an active and fruitful research topic in the computer vision community for decades due to both its...

Keyword:

Context-awareness, Visual Attention, Computer Vision, Multiple Target Tracking, Video Processing, and Visual Tracking

Subject:

Electrical and Computer Engineering

Creator:

Ming Ying

Owner:

Scholarly Digital Publishing

Date Uploaded:

09/06/2018

Date Modified:

09/06/2018

Date Created:

2008-05-22

Resource Type:

Dissertation

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