Project Grant 2504596
- This federal Project Grant award of $493,388, awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, supports a collaborative research project titled "LANDS - Learning-Based Adaptive Networked Systems for Delivery of Short Videos." The project aims to improve the efficiency and understanding of short-video systems, which have become increasingly popular for delivering various types of content to billions of users globally....
- This Project Grant award of $600,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program aims to advance how machines interpret video content by developing new capabilities for analyzing extended video streams. The 3-year project, which runs from September 1, 2025 to August 31, 2028, will support research to address the extreme data volume inherent in long video sequences. The key technical focus is on a novel framework...
- This $275,000 Project Grant was awarded on July 15, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant supports a collaborative research project led by George Mason University that aims to revolutionize immersive video streaming technology using advanced neural content representation techniques. The key objectives of the project are to improve the resiliency, bandwidth optimization, and...
- This federal Project Grant award of $275,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on July 15, 2025, supports a collaborative research effort to develop advanced immersive video streaming technology. The project, led by the University of Illinois, explores techniques to enable users to see and interact with lifelike 3D environments, rather than just watching a flat video. By leveraging computer vision, computer...
- This $250,000 Project Grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084) will fund the development of an automatic video quality assessment and adjustment software prototype for networked camera systems. The University of Cincinnati will receive the award to design and demonstrate a software tool that can detect various causes of video quality degradation in networked cameras. The prototype will analyze video bitstreams and...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $496,895 over a 3-year period starting September 1, 2024 to develop a unified framework for simplifying and automating the development, optimization, and adaptation of video analytics pipeline (VAP) applications. The key products and services to be delivered under this grant include: A framework that enables domain experts to specify...
- This federal Project Grant award, valued at $360,000.00 and spanning August 1, 2025 to July 31, 2028, was provided by the Division of Computer and Network Systems within the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a collaborative research project between investigators at the Massachusetts Institute of Technology and the University of Washington focused on developing new machine learning models to...
- This two-year Project Grant from the National Science Foundation's Division of Computer and Network Systems provides $238,545 to Rutgers, The State University for research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: FROM CAPTURE TO CONSUMPTION: SYSTEM CHALLENGES IN PERVASIVE 360-DEGREE VIDEO SHARING." The funding supports investigator-initiated research under the Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing,...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) totaling $539,998 will fund the development of an integrated framework to enable high-performance, energy-efficient learning-based super resolution (SR) technology. The key innovations of this 3-year project (July 1, 2025 - June 30, 2028) include: Extracting computer graphics (CG) information from GPU architecture during low-resolution rendering...
- This $660,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to advance multi-stream architectures in computer vision and artificial intelligence. The project aims to: (1) develop a suite of high-performance multi-stream foundation models for tasks like object detection, text-based image segmentation, and audio-video analysis; (2) optimize algorithms to enhance the efficiency of these...
This $320,881 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program aims to improve the efficiency and understanding of short-video systems. The project, led by Brown University, will develop new video delivery techniques that use less compute and network resources, reduce energy consumption on user devices, and generate new analytical insights on short-video system behaviors. The expected outcomes include new browser plugins, open-source software, and educational content such as course modules on short-video streaming. The project will also support broadening participation in computing through engagement with high-school students, undergraduate researchers, and graduate students. This transformative research leverages a combination of systems design, networking, and machine learning approaches, complemented by user studies, to advance the state-of-the-art in short-video delivery technologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.9k | 8/22/25 |