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Building a video retrieval system that is robust and reliable, especially forthe marine environment, is a challenging task due to several factors such asdealing with massive amounts of dense and repetitive data, occlusion,blurriness, low lighting conditions, and abstract queries. To address thesechallenges, we present MarineVRS, a novel and flexible video retrieval systemdesigned explicitly for the marine domain. MarineVRS integratesstate-of-the-art methods for visual and linguistic object representation toenable efficient and accurate search and analysis of vast volumes of underwatervideo data. In addition, unlike the conventional video retrieval system, whichonly permits users to index a collection of images or videos and search using afree-form natural language sentence, our retrieval system includes anadditional Explainability module that outputs the segmentation masks of theobjects that the input query referred to. This feature allows users to identifyand isolate specific objects in the video footage, leading to more detailedanalysis and understanding of their behavior and movements. Finally, with itsadaptability, explainability, accuracy, and scalability, MarineVRS is apowerful tool for marine researchers and scientists to efficiently andaccurately process vast amounts of data and gain deeper insights into thebehavior and movements of marine species.

MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding