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

Antoni Burguera

2024

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 333-340. DOI: 10.5220/0012423700003660

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Burguera A.
PY - 2024
SP - 333
EP - 340
DO - 10.5220/0012423700003660
PB - SciTePress