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Multi-format parallel video compression tool (MFPVC)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0056
Agency Tracking Number: N192-097-1027
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N192-097
Solicitation Number: 19.2
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-10-17
Award End Date (Contract End Date): 2020-04-14
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Sergey Voronin
 Senior Scientist
 (301) 294-5271
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution

To address the need for advanced video compression capability, IAI proposes a robust solution which works across many different video formats, by first transcribing the video to a set of color jpeg images at a specified frame rate and dimensions. The resulting images are then compressed by a parallel multi-stage scheme, which takes advantage of nearby image channel correlation, approximate linear dependence under transformation, and uses image tailored lossless compression methods. In particular, we will utilize an algorithm, which takes advantage of high correlation between signals in a cluster, in order to encode the signals efficiently in terms of a single pillar member of the cluster. We will also apply sparsity preserving low rank matrix factorization techniques, such as the interpolative decomposition, to take advantage of approximate linear dependence between RGB channel data in nearby images. For lossless compression, we will consider a setup using inversion coding, based on distances between occurrences of repeating symbols, as well as recent work on hierarchical predictions. Supplementing this will be a parallel module for approximate decompression and video playback.

* Information listed above is at the time of submission. *

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