Automating situational reporting

Marissa Dotter; Josh Harguess

doi:10.1117/12.2589624

21 April 2021 Automating situational reporting

Marissa Dotter, Josh Harguess

Proceedings Volume 11733, Geospatial Informatics XI; 117330G (2021) https://doi.org/10.1117/12.2589624
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

With the vast amounts of unstructured data that is accrued through surveillance, body-cameras, mobile phones, and other sources, there is a need to perform data synthesis into natural language through automated methods. Recent advances in machine learning have enabled compression of data sequences into short, compact, informal summaries as keyframes and video thumbnails. Additionally, the capability to generate text that describes an overall image or full motion video has rapidly increased. However, generating text in more formal structures, such as reports, remains a relatively unsolved area of Natural Language Generation (NLG). This work is an initial attempt to understand the gap in the data summarization and document generation problem, specifically for the generation of situation reports and study the data annotations necessary to implement an end-to-end pipeline that would ingest data, summarize it, and generate a situation report for easy consumption by a user.

Conference Presentation

Citation Download Citation

Marissa Dotter and Josh Harguess "Automating situational reporting", Proc. SPIE 11733, Geospatial Informatics XI, 117330G (21 April 2021); https://doi.org/10.1117/12.2589624

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available