UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
Washington, D.C. 20549
Form 6-K
Report of Foreign Private Issuer
Pursuant to Rule 13a-16 or 15d-16
under the Securities Exchange Act of 1934
For the month of December 2023
Commission file number: 001-41523
BEAMR IMAGING LTD.
(Translation of registrant’s name into English)
10 HaManofim Street
Herzeliya, 4672561, Israel
(Address of principal executive offices)
Indicate by check mark whether the registrant
files or will file annual reports under cover of Form 20-F or Form 40-F.
Form 20-F ☒ Form
40-F ☐
CONTENTS
Attached hereto and incorporated
herein is the Registrant’s press release issued on December 11, 2023, titled “Beamr Releases White Paper on its CABR Solution
to Boost Vision AI”.
EXHIBIT INDEX
SIGNATURES
Pursuant to the requirements
of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto
duly authorized.
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Beamr Imaging Ltd. |
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Date: December 11, 2023 |
By: |
/s/ Sharon Carmel |
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Name: |
Sharon Carmel |
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Title: |
Chief Executive Officer |
2
Exhibit 99.1
Beamr Releases White Paper on using its CABR Solution to Boost Vision
AI
Herzliya Israel, Dec. 11, 2023 (GLOBE NEWSWIRE) -- Beamr, a leader in video optimization technology and solutions, today
announced that it released a White Paper detailing how its Content Adaptive Bitrate (CABR) optimized encoding solution, which reduces
video size but not perceptual quality, can make video used for vision AI easier to handle, thus reducing workflow complexity. Beamr is
advancing on a new front - and reveals its capability to support Machine Learning for video.
Machine Learning (ML) for video
processing is a field expanding at a fast pace, with a market already estimated at billions of dollars. One of the biggest pain points
for ML players is managing extremely large video files and libraries. As the cluster of files grows bigger, they are faced with the challenging
task of storing and transferring them at an increasing cost.
Results of a new case study show
it may be possible to address the challenge and cut processing costs using Beamr’s technology.
Screen
shot form Beamr Machine Learning experiment showing
that true detection results are unaffected by replacing the source file (left) with the smaller, easier-to-transfer, optimized file
(right)
In the new White Paper, Beamr
shows that video files that were slimmed down by 40% on average - without losing their perceptual quality due to Beamr’s CABR technology
- keep ML results unaffected.
The tests were conducted on NVIDIA
DeepStream SDK - a tool for AI-based multi-sensor processing, video, audio and image understanding, which was a natural choice for Beamr
as an NVIDIA Metropolis partner.
Tamar Shoham, Beamr CTO, said:
"We decided to try out the Nvidia DeepStream SDK, which enables vision AI applications and services, combined with the recent Nvidia
encoder enhanced with Beamr CABR. In the experiment, we demonstrated that the results of the DeepStream were unaffected by the video optimization
process”.
“We are thankful to the
Nvidia DeepStream team for supporting our research”, Shoham Added.
The results presented in the
White Paper show that Beamr’s patent-proven and award winning technology - Content Adaptive Bitrate - can be applied to videos that
undergo ML tasks such as object detection. In future work, Beamr plans to investigate the further potential benefits obtained when CABR
is incorporated at the training stage and expand the experiments to include more model types and ML tasks.
Read the full White Paper: Beamr
CABR Poised to Boost Vision AI
About
Beamr
Beamr
(Nasdaq: BMR) is a world leader in content adaptive video solutions. Backed by 53 granted patents, and winner of the 2021 Technology and
Engineering Emmy® award and the 2021 Seagate Lyve Innovator of the Year award, Beamr's perceptual optimization technology enables
up to a 50% reduction in bitrate with guaranteed quality. www.beamr.com
Forward-Looking
Statements
This
press release contains “forward-looking statements” that are subject to substantial risks and uncertainties. Forward-looking
statements in this communication may include, among other things, statements about Beamr’s strategic and business plans, technology,
relationships, objectives and expectations for its business, the impact of trends on and interest in its business, intellectual property
or product and its future results, operations and financial performance and condition. All statements, other than statements of historical
fact, contained in this press release are forward-looking statements. Forward-looking statements contained in this press release may be
identified by the use of words such as “anticipate,” “believe,” “contemplate,” “could,”
“estimate,” “expect,” “intend,” “seek,” “may,” “might,” “plan,”
“potential,” “predict,” “project,” “target,” “aim,” “should,”
“will” “would,” or the negative of these words or other similar expressions, although not all forward-looking
statements contain these words. Forward-looking statements are based on the Company’s current expectations and are subject to inherent
uncertainties, risks and assumptions that are difficult to predict. Further, certain forward-looking statements are based on assumptions
as to future events that may not prove to be accurate. For a more detailed description of the risks and uncertainties affecting the Company,
reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”),
including, but not limited to, the risks detailed in the Company’s annual report filed with the SEC on April 24, 2023 and in subsequent
filings with the SEC. Forward-looking statements contained in this announcement are made as of the date hereof and the Company undertakes
no duty to update such information except as required under applicable law.
Investor
Contact:
investorrelations@beamr.com
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