Intelligent Automation, Inc. — Department of Defense SBIR Phase II: NGA191-002
Intelligent Automation, Inc. — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $1,000,000 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code NGA191-002 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,000,000
- Agency
- Department of Defense · National Geospatial-Intelligence Agency
- Program / Phase
- SBIR · Phase II
- Topic
- NGA191-002
- Solicitation
- 19.1
- NAICS
- —
- Place of performance
- MD
- Period
- 2021-08-26 → 2023-09-06
Description
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 videos. Unfortunately, this approach is time-consuming, especially considering the scale of data. Crowdsourcing is attractive as an efficient approach to quickly tag large amounts of data. However, the results obtained through crowdsourcing are usually of lower quality than those obtained by expert analysts, and are sometimes noisy, missing, or incomplete as VNIIRS ratings reflect subjective assessment of semantic content. \n\n During Phase I, we have demonstrated the novel VAST-CQA annotation toolkit that allows for rapid video annotation, multi-user capabilities, smart annotation assignment, and an evaluation of an automated VNIIRS assessment system. In Phase II, we propose to extend the user interface capabilities, enhance the smart selection to expand the active learning work begun in Phase I, and further streamline the processing workflow. IAI will build and deliver the VAST-CQA software that is ready for integration at NGA by the end of Phase II.