Award Data

The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data browsing, and testing of automated video assessment systems. Existing methods for video quality assessment rely on expert analysts to view and tag ...

NGA seeks to incorporate Artificial Intelligence (AI) and Machine Learning (ML) into Intelligence, Surveillance, and Reconnaissance (ISR) missions to capture fleeting targets. As such, a large number of dynamic scenes with accurate target motions and behaviors will be needed for training and performance evaluation. The traditional microscopic model-based approach for vehicle activity simulation is ...

The goal of this Direct to Phase II effort is to develop a prototype system for Cross-Lingual Unsupervised Extraction (CLUE) that can extract relevant information from across a variety of sources, modalities, and languages.  The CLUE system will extract entities and relations of interest from the different sources and languages, linking this information across documents, associating it with relev ...

Intelligence analysts attempting to geolocate ground-level imagery rely on numerous sources of information including reference data of distinct urban and topographical structures which of may be visible from the ground. This matching process is tedious and requires careful identification of topographic features (e.g. ridgelines) and relevant contextual information (e.g. environment type) from both ...

The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data compression and data browsing. Unlike video quality metrics, VNIIRS ratings reflect subjective assessment of semantic content, which may not always ...

Electricity is one of the most transformative resources in existence. It plays a vital role in homes, shops, factories, and transportation systems. While most of the people in the world benefit from reliable electricity without giving it a second thought, many still live without it. Even those with seemingly reliable energy can unexpectedly lose it, as the September 20, 2017 landfall of Hurricane ...

This Small Business Innovation Research (SBIR) Phase II project will perform some needed tests for commercialization of the highly PFAS-selective nanofiber mats fabricated from electrospun polymer nanofibers. The Phase I results have shown the proof of concept for two materials developed for the removal of PFOA and PFOS with over 91% efficiency at very high concentrations (ppm level) and 99% at lo ...

Topographic features found in ground-based natural images contain information that is useful for a variety of applications including geolocation estimation and navigation. Traditionally, these features have been manually labeled by analysts which is costly and time consuming, especially considering the volume of readily available data. During Phase I, we have demonstrated a novel TOFENet framework ...

With the explosive growth of Internet of Things (IoT) and mobile communication technologies, media streaming service and applications based on video content have gained remarkable popularity and interest from users. When someone is using their device to record a video, then share that video with friends through a certain website (e.g. Netflix, YouTube), the process may sound simple from the user s ...

Fumed silica is an important additive in many products including paints, plastics and tires, but it is produced by an energy-intensive costly, toxic and hazardous process. SioTex has developed a superior triple green replacement for fumed silica that produces no toxic waste, uses little energy, and is inexpensive.  Our patent pending technology uses rice hulls, a bio-waste, as the feedstock.  Us ...