A methodology for the systematic assessment of underwater video processing algorithms

Miguel Arredondo, Katia Lebart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image processing algorithms developed for other contexts, but little methodology on how to assess their suitability for underwater images currently exists. This paper suggests a methodology to quantitatively assess the robustness and behavior of algorithms in the face of underwater noises. It relies on the systematic simulation of underwater specific perturbations of images, with varying degrees of severity. The methodology enables to benchmark algorithms' suitability for underwater conditions. © 2005 IEEE.

Original languageEnglish
Title of host publicationOceans 2005 - Europe
Pages362-367
Number of pages6
Volume1
DOIs
Publication statusPublished - 2005
EventOceans 2005 - Europe - Brest, France
Duration: 20 Jun 200523 Jun 2005

Conference

ConferenceOceans 2005 - Europe
CountryFrance
CityBrest
Period20/06/0523/06/05

Fingerprint

Processing
Image processing
Sensors

Cite this

Arredondo, Miguel ; Lebart, Katia. / A methodology for the systematic assessment of underwater video processing algorithms. Oceans 2005 - Europe. Vol. 1 2005. pp. 362-367
@inproceedings{940d1d071d734724bcac1bf64742ad15,
title = "A methodology for the systematic assessment of underwater video processing algorithms",
abstract = "The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image processing algorithms developed for other contexts, but little methodology on how to assess their suitability for underwater images currently exists. This paper suggests a methodology to quantitatively assess the robustness and behavior of algorithms in the face of underwater noises. It relies on the systematic simulation of underwater specific perturbations of images, with varying degrees of severity. The methodology enables to benchmark algorithms' suitability for underwater conditions. {\circledC} 2005 IEEE.",
author = "Miguel Arredondo and Katia Lebart",
year = "2005",
doi = "10.1109/OCEANSE.2005.1511741",
language = "English",
isbn = "0780391039",
volume = "1",
pages = "362--367",
booktitle = "Oceans 2005 - Europe",

}

Arredondo, M & Lebart, K 2005, A methodology for the systematic assessment of underwater video processing algorithms. in Oceans 2005 - Europe. vol. 1, pp. 362-367, Oceans 2005 - Europe, Brest, France, 20/06/05. https://doi.org/10.1109/OCEANSE.2005.1511741

A methodology for the systematic assessment of underwater video processing algorithms. / Arredondo, Miguel; Lebart, Katia.

Oceans 2005 - Europe. Vol. 1 2005. p. 362-367.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A methodology for the systematic assessment of underwater video processing algorithms

AU - Arredondo, Miguel

AU - Lebart, Katia

PY - 2005

Y1 - 2005

N2 - The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image processing algorithms developed for other contexts, but little methodology on how to assess their suitability for underwater images currently exists. This paper suggests a methodology to quantitatively assess the robustness and behavior of algorithms in the face of underwater noises. It relies on the systematic simulation of underwater specific perturbations of images, with varying degrees of severity. The methodology enables to benchmark algorithms' suitability for underwater conditions. © 2005 IEEE.

AB - The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image processing algorithms developed for other contexts, but little methodology on how to assess their suitability for underwater images currently exists. This paper suggests a methodology to quantitatively assess the robustness and behavior of algorithms in the face of underwater noises. It relies on the systematic simulation of underwater specific perturbations of images, with varying degrees of severity. The methodology enables to benchmark algorithms' suitability for underwater conditions. © 2005 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=33746745286&partnerID=8YFLogxK

U2 - 10.1109/OCEANSE.2005.1511741

DO - 10.1109/OCEANSE.2005.1511741

M3 - Conference contribution

SN - 0780391039

SN - 9780780391031

VL - 1

SP - 362

EP - 367

BT - Oceans 2005 - Europe

ER -