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WaveOne

WaveOne

WaveOne is a Mountain View, California-based digital media company that utilizes artificial intelligence for video compression. It was founded in 2016 by Lubomir Bourdev and Oren Rippel.

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wave.one
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Technology
Technology
Digital media
Digital media
Publishing
Publishing
AI video compression
AI video compression
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Location
Mountain View, California
Mountain View, California
Palo Alto, California
Palo Alto, California
Noida
Noida
B2X
B2B
B2B
CEO
Lubomir Bourdev
Lubomir Bourdev
Founder
Lubomir Bourdev
Lubomir Bourdev
Oren Rippel
Oren Rippel
Pitchbook URL
pitchbook.com/profiles...181166-14
Number of Employees (Ranges)
1 – 10
Number of Employees
6
Full Address
2479 East Bayshore Road Palo Alto, CA 94303 United States
Investors
Khosla Ventures
Khosla Ventures
Pete Flint
Pete Flint
Gokul Rajaram
Gokul Rajaram
Albert Azout
Albert Azout
Omega Venture Partners
Omega Venture Partners
0
In-Q-Tel
In-Q-Tel
Alumni Ventures Group
Alumni Ventures Group
Wilson Sonsini Goodrich & Rosati
Wilson Sonsini Goodrich & Rosati
...
Founded Date
2016
Total Funding Amount (USD)
9,000,000
Latest Funding Round Date
December 1, 2020
Competitors
InterDigital
InterDigital
NVIDIA
NVIDIA
Aivero
Aivero
V-Nova
V-Nova
CTO
Oren Rippel
Oren Rippel
Latest Funding Type
Seed
Seed
Patents Assigned (Count)
10
Motto/Tagline
Context-adaptive compression of digital media

Other attributes

Company Operating Status
Active

WaveOne is a digital media company that uses artificial intelligence to compress videos. It was founded in 2016 by Lubomir Bourdev and Oren Rippel. WaveOne is based in Mountain View, California.

Video compression

In existing codecs, the compressed representation of a frame consists of the motion vectors and the residual. The decoder applies the motion vectors to the previously decoded frame and adds the residual to reconstruct the current frame. The process is repeated for each frame. Since pixels of an object tend to move together in the same direction, the motion vectors can be represented compactly by grouping nearby pixels and specifying the motion for each group.

WaveOne's model

WaveOne's model uses deep learning for frame prediction where they fit patterns and predict spatiotemporal patterns from data. The model compresses motion vectors through understanding the motion boundaries and vectors with a more efficient representation of less important areas. In this way, their model can distribute the bandwidth so more important areas have sophisticated motion boundaries and precise motion vectors, rather than the traditional partition of frames into hierarchies of blocks and assigning the same motion vector for all pixels in a block.

The algorithm learns what arbitrary information in frames is important and efficiently compresses the less important information. Through their model's joint compression of motion and residual information, WaveOne's model is able to achieve multi-flow representation with multiple layers of motion vector. And through their model, WaveOne proposes a method for machine learning-based spatial rate control, allowing a single architecture to tune for different bitrates.

WaveOne also states that their model achieves higher quality, less buffering, and lower bandwidth than on standard-definition videos. Relative to their algorithm, HEVC/ H.265, AVC/H.264 and VP9 typically produce codes up to 60% larger. On high-definition 1080p videos, H.265 and VP9 typically produce codes up to 20% larger, and H.264 up to 35% larger. Moreover, WaveOne says their approach does not suffer from blocking artifacts and pixelation.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

Efficient Learned Flexible-Rate Video Coding -- WaveOne

WaveOne, Inc.

https://www.wave.one/elf

Web

May 2021

Learned Video Compression -- WaveOne

WaveOne, Inc.

https://www.wave.one/learned-video-compression-1

Web

November 2018

Real-Time Adaptive Image Compression -- WaveOne

WaveOne, Inc.

https://www.wave.one/real-time-adaptive-image-compression

Web

May 2017

References

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