Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat

Antoni Burguera

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Paper

Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat

Topics: Deep Learning for Tracking; Deep Learning for Visual Understanding ; Object Detection and Localization; Vision for Robotics

In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 333-340, 2024 , Rome, Italy

Author: Antoni Burguera

Affiliation: Departament de Matemàtiques i Informàtica, Universitat de les Illes Balears, Ctra. Valldemossa Km. 7.5, 07122 Palma, Illes Balears, Spain

Keyword(s): Computer Vision, Progressive Image Encoding, Deep Learning, Underwater Robotics.

Abstract: This paper explores the advantages of evaluating Progressive Image Encoding (PIE) methods in the context of the specific task for which they will be used. By focusing on a particular task —fish detection in their natural habitat— and a specific PIE algorithm — Progressive Hierarchical Image Encoding (PHIE)—, the paper investigates the performance of You Only Look Once (YOLO) in detecting fish in underwater images using PHIE-encoded images. This is particularly relevant in underwater environments where image transmission is slow. Results provide insights into the advantages and drawbacks of PHIE image encoding and decoding, not from the perspective of general metrics such as reconstructed image quality but from the viewpoint of its impact on a task —fish detection— that depends on the PHIE encoded and decoded images.

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Paper citation in several formats:

Burguera, A. (2024). Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 333-340. DOI: 10.5220/0012423700003660

@conference{visapp24,
author={Antoni Burguera.},
title={Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={333-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012423700003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Combining Progressive Hierarchical Image Encoding and YOLO to Detect Fish in Their Natural Habitat
SN - 978-989-758-679-8
IS - 2184-4321
AU - Burguera, A.
PY - 2024
SP - 333
EP - 340
DO - 10.5220/0012423700003660
PB - SciTePress