Is it possible to reduce bandwidth costs using AI?
Absolutely, and Small Pixels offers a powerful solution:
At Small Pixels, we've developed neural networks that make your video signal more compression-resistant, allowing you to achieve up to 50% higher compression while maintaining the same perceived quality.
How It Works
Our real-time pre-encoder processing unit (SPAIQ Stream) receives the high-quality video signal from your playoutand enhances it without adding latency. The processed signal is then passed to your existing encoder, which can beconfigured for much higher compression (up to 50% more) without visible quality loss.
Some Examples
The screenshots show the side-by-side comparisons between the original and Small Pixels processed signal with extra compression: 30% more in the first case and 50% more in the second.
Backed by Science
We use VMAF (Video Multimethod Assessment Fusion), an advanced video quality metric developed by Netflix, to objectively measure results. Our processed videos consistently achieve higher VMAF scores, even when more heavily compressed. Below is a typical comparison graph showing the results achievable with our technology.
Key Advantages
- No changes to your delivery chain, fully compatible with all compression schemes (H.264, HEVC, VP9, AV1, etc.) and encoder vendors
- Content-agnostic, whether sports, movies, gaming, or cartoons, our system delivers consistent results.
- Always-on performance, runs 24/7/365 with proven stability.
- Every platform, you can save bandwith on every delivery platform: OTT, Satellite, DTT …..
About Us
Small Pixels is a deep tech company specializing in AI-driven video enhancement. Its advanced technology improves video quality while reducing bandwidth and storage needs, serving sectors such as Media & Entertainment, video conferencing, and security & surveillance. From real-time processing to restoration and upscaling, Small Pixels helps organizations deliver superior visual experiences seamlessly and efficiently. With a focus on scalability and global impact, it is redefining video optimization standards.
Contact us for more information or to schedule a proof of concept (POC):
Synopsis
Small Pixels has introduced an AI-based solution to reduce bandwidth costs without compromising visual quality.
The company’s proprietary technology enables up to 50% higher compression without perceptible loss, by applying real-time pre-processing to the video signal before encoding.
SPA-IQ Stream receives the signal directly from the playout, enhances it without adding latency, and passes it to the existing encoder, which can then operate at a much higher compression rate.
VMAF metrics confirm improved perceived quality, even at higher compression levels. The solution is compatible with all codecs and distribution channels—OTT, satellite, DTT.
The system runs 24/7, is content-agnostic, and requires no changes to the existing delivery infrastructure.
Small Pixels offers scalable solutions across media, conferencing, and surveillance, focusing on real-time processing, upscaling, and bandwidth reduction.
Reducing bandwidth without losing quality is possible. Small Pixels applies real-time AI processing to the signal before compression, increasing resistance and enabling more efficient encoding with no system changes.
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