Recently, much attention has been given to image annotation due to the massive increase in
image data volume. One of the image retrieval methods which guarantees the retrieval of …

We present thorough this review the developments in the field, point out their current
limitations, and outline its timelines and unique potential. In order to do so we introduce the …

The recognition of coral species based on underwater texture images poses a significant
difficulty for machine learning algorithms, due to the three following challenges embedded in …

In recent years, marine animal study has gained increasing research attention, which raises
significant demands for fine-grained marine animal segmentation (MAS) techniques. In …

Coral reefs are biologically diverse and structurally complex ecosystems, which have been
severally affected by human actions. Consequently, there is a need for rapid ecological …

Across the globe, remote image data is rapidly being collected for the assessment of benthic
communities from shallow to extremely deep waters on continental slopes to the abyssal …

The development of advanced acoustic and optical imaging techniques along with
autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) has …

We describe the application of the computerized deep learning methodology to the
recognition of corals in a shallow reef in the Gulf of Eilat, Red Sea. This project is aimed at …

The automatic classification of marine species based on images is a challenging task for
which multiple solutions have been increasingly provided in the past two decades. Oceans …

Unlike land, the oceans, although covering more than 70% of the planet, are largely
unexplored. Global fisheries resources are central to the sustainability and quality of life on …