A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images

A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images

Public aquariums and similar institutions often use video as a method to monitor the behavior, health, and status of aquatic organisms in their environments. These video footages take up a sizeable amount of space and require the use of autoencoders to reduce their file size for efficient storage. T...

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Bibliographic Details
Main Authors: Rich C. Lee, Ing-Yi Chen
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
autoencoder
deep learning
computer vision
image recognition
Online Access:https://www.mdpi.com/1424-8220/21/15/4966

Internet

https://www.mdpi.com/1424-8220/21/15/4966

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