This Solicitation opportunity from Department Of Transportation was posted on September 4, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Validation test of NR metrics, J.noref

Closed

NTIA0000-25-00384Federal

Submission Closed09/11/2025, 04:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541990

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Solicitation # 80NSSC27945244Q

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NASA Shared Services Center

POSTED

about 22 hours ago

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in 4 days

AI Contract Overview

The International Telecommunications Union, operating under the United Nations, is conducting validation tests for no reference (NR) video quality metrics. These NR metrics are designed to analyze video quality using only pixel values, resolution, and frame rate, without needing the original reference video. Although three decades of research have yet to yield a metric accurate enough for commercial use, U.S. industry is highly interested in NR metrics for enabling automated quality monitoring and corrective feedback in video production systems. The U.S. Department of Commerce’s NTIA/ITS is collaborating in this effort, known as J.noref, by sourcing over 400 short video clips that represent a variety of filming scenarios and camera responses intended to challenge modern cameras in diverse ways. After acquiring this video set, NTIA/ITS will conduct experiments where human evaluators rate video quality. The NR metrics' estimations will be compared against these human assessments to validate their effectiveness. The clips will also be made available to researchers internationally and, for R&D purposes only, will be accessible via the Consumer Digital Video Library. This initiative follows the 2015 study on camera pixel count and monitor resolution, aiming to comprehensively compare how different cameras respond to variables like lighting, motion, scene complexity, and more. The contract is a small business set-aside and is being administered out of Washington DC, with the primary place of performance in Boulder, Colorado. Submissions are due by September 11, 2025.

General Info

ITU and NTIA validate no reference video quality metrics using 400+ clips, human ratings, Boulder-based.

Agency

Department Of Transportation → Department Of Commerce Sspo

NAICS

541990 - All Other Professional, Scientific, and Technical Services

Place of Performance

Boulder, CO, 80305, USA

Set-Aside

SBA

Documents

NTIA ITS Validation Test Footage Specifications

sow

High

RFQ - SAM New Video Content ITU Testing

rfq

High

AI Contract Breakdown

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Timeline

PhaseClosed

PostedSep 4

Solicitation

Response DeadlineSep 11

Deadline has passed

Submission Closed

09/11/2025, 04:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Transportation → Department Of Commerce Sspo

Contacts1 person available

OfficeWASHINGTON, DC, 20230, USA

Organization / AgencyDepartment Of Transportation → Department Of Commerce Sspo

Office AddressWASHINGTON, DC, 20230, USA

Contacts

Mital Pancholi

contact@example.gov

Full Description

The International Telecommunications Union (ITU), which gets its charter from the United Nations (UN), is performing validation tests of no reference (NR) metrics that assess the quality of a video stream using only pixel values, resolution, and frame rate. Despite 30 years of research into NR video metrics, no such metric has been proven accurate enough for commercial deployment. U.S. industry is very interested in this type of metric because it could enable automatic feedback loops in cameras and various video systems. The NR metric would allow the camera or video system to detect quality problems, understand why the quality is bad, and automatically fix the problem. The U.S. Department of Commerce's NTIA/ITS is participating in this validation test of NR metrics, nicknamed J.noref. We need a set of footage to be used in an experiment that will contain 400+ short videos. Those videos will show various responses of modern video cameras, to scenes and filming scenarios chosen to solicit different responses from the cameras. After the purchase is produced, NTIA will conduct an experiment where a panel of people will assess the quality of the videos. The NR metrics then try to estimate the quality of each video. The videos will be shared with other researchers around the world. The videos will also be shared for research and development (R&D) purposes only (no commercial applications) on the Consumer Digital Video Library (CDVL, www.cdvl.org). This purchase is inspired by the 2015 study, Impact of Camera Pixel Count and Monitor Resolution Perceptual Image Quality (Conference Paper) - ITS, performed by NTIA/ITS, Intel, and the University of Ghent. That study compares the performance of 23 digital cameras, each used to photograph the same scene. Figures 1, 2, and 3 show the types of scenes selected and the range of camera impairments that were produced. The full set of images can be viewed by creating a free account on CDVL, logging in, and then searching for - CCRIQ. The goal is to compare the quality response of different cameras in responses to major variables (e.g., scene complexity, camera motion, in-view motion, lighting, and focal distance).