SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network

Autor:	Qiu, Dicong
Rok vydání:	2018
Předmět:	Computer Science - Machine Learning Computer Science - Computer Vision and Pattern Recognition Computer Science - Information Retrieval Computer Science - Robotics Statistics - Machine Learning
Zdroj:	Planetary and Space Science, 2020, 118: 104943
Druh dokumentu:	Working Paper
DOI:	10.1016/j.pss.2020.104943
Popis:	Planetary exploration missions with Mars rovers are complicated, which generally require elaborated task planning by human experts, from the path to take to the images to capture. NASA has been using this process to acquire over 22 million images from the planet Mars. In order to improve the degree of automation and thus efficiency in this process, we propose a system for planetary rovers to actively search for prominence of prespecified scientific features in captured images. Scientists can prespecify such search tasks in natural language and upload them to a rover, on which the deployed system constantly captions captured images with a deep image captioning network and compare the auto-generated captions to the prespecified search tasks by certain metrics so as to prioritize those images for transmission. As a beneficial side effect, the proposed system can also be deployed to ground-based planetary data systems as a content-based search engine. Comment: 9 pages, 5 figures, 1 table. Preprint. Work in progress
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1809.03385 Zobrazit plný text záznamu View this record from Arxiv