Automated video identification of marine species (AVIMS) - new application: report

Michal Mackiewicz; Geoffrey French; Mark Fisher

Automated video identification of marine species (AVIMS) - new application: report

Michal Mackiewicz
, Geoffrey French
, Mark Fisher

Research output: Book/Report › Commissioned report

6 Downloads (Pure)

Abstract

A commissioned report on the development of a web-based computer application for machine learning-based (semi-)automated analysis of underwater video footage obtained during the monitoring of aquatic environments.

Original language	English
Publisher	Scottish Government Marine Directorate
Volume	14
Edition	7
ISBN (Electronic)	978-1-83521-505-0
Publication status	Published - 3 Nov 2023

Publication series

Name	Scottish Marine and Freshwater Science
Publisher	Scottish Government Marine Directorate
No.	7
Volume	14
ISSN (Electronic)	2043-7722

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Access to Document

https://www.gov.scot/publications/new-application-automated-video-identification-marine-species-avims/pages/5/#:~:text=The%20overall%20objective%20of%20this,of%20analysing%20video%20footage%2C%20detecting

Cite this

Mackiewicz, M., French, G., & Fisher, M. (2023). Automated video identification of marine species (AVIMS) - new application: report. (7 ed.) (Scottish Marine and Freshwater Science ; Vol. 14, No. 7). Scottish Government Marine Directorate. https://www.gov.scot/publications/new-application-automated-video-identification-marine-species-avims/pages/5/#:~:text=The%20overall%20objective%20of%20this,of%20analysing%20video%20footage%2C%20detecting

@book{b17def64345040b98a0041df3476bb85,

title = "Automated video identification of marine species (AVIMS) - new application: report",

abstract = "A commissioned report on the development of a web-based computer application for machine learning-based (semi-)automated analysis of underwater video footage obtained during the monitoring of aquatic environments.",

author = "Michal Mackiewicz and Geoffrey French and Mark Fisher",

year = "2023",

month = nov,

day = "3",

language = "English",

volume = "14",

series = "Scottish Marine and Freshwater Science ",

publisher = "Scottish Government Marine Directorate",

number = "7",

edition = "7",

}

Mackiewicz, M, French, G & Fisher, M 2023, Automated video identification of marine species (AVIMS) - new application: report. Scottish Marine and Freshwater Science , no. 7, vol. 14, vol. 14, 7 edn, Scottish Government Marine Directorate. <https://www.gov.scot/publications/new-application-automated-video-identification-marine-species-avims/pages/5/#:~:text=The%20overall%20objective%20of%20this,of%20analysing%20video%20footage%2C%20detecting>

TY - BOOK

T1 - Automated video identification of marine species (AVIMS) - new application: report

AU - Mackiewicz, Michal

AU - French, Geoffrey

AU - Fisher, Mark

PY - 2023/11/3

Y1 - 2023/11/3

N2 - A commissioned report on the development of a web-based computer application for machine learning-based (semi-)automated analysis of underwater video footage obtained during the monitoring of aquatic environments.

AB - A commissioned report on the development of a web-based computer application for machine learning-based (semi-)automated analysis of underwater video footage obtained during the monitoring of aquatic environments.

M3 - Commissioned report

VL - 14

T3 - Scottish Marine and Freshwater Science

BT - Automated video identification of marine species (AVIMS) - new application: report

PB - Scottish Government Marine Directorate

ER -