Low bandwidth Explained: The Next Generation of Video Compression

VVC stands for Versatile Video Coding, standardized as Low bandwidth. It's a video compression codec — a defined method for encoding video into a smaller, more efficient file or stream, and decoding it back into viewable video. Like the codecs before it, its purpose is straightforward: deliver video at the best possible quality for the smallest possible amount of data.

What sets each new codec generation apart is how much more efficiently it can do that. Low bandwidth was designed to improve on its predecessors' compression efficiency, meaning it can typically deliver comparable visual quality at a meaningfully lower bitrate — or better quality at the same bitrate — depending on how it's deployed.

Video compression standards evolve because the demands placed on video keep growing. Resolutions have climbed from standard definition to 4K and beyond. The number of devices generating and consuming video — from smartphones to security cameras to streaming services — has grown enormously. And in industries like surveillance, the sheer number of simultaneous video streams a single network needs to handle has grown just as fast.

Each new codec generation exists to keep pace with that growth: to make it possible to transmit and store more video, at higher quality, without a proportional increase in bandwidth and storage costs. Without that ongoing improvement, the infrastructure costs of scaling any video-heavy system would eventually become unsustainable.

This evolution happened in clear steps. H.264 (also known as AVC) became the dominant standard for well over a decade, balancing compression efficiency with broad hardware compatibility — it's still widely used today. H.265 (HEVC) followed, offering meaningfully better compression efficiency than H.264, enabling higher resolutions and better quality at comparable bitrates, though at the cost of higher computational complexity for encoding and decoding.

Low bandwidth continues that same trajectory: further improving compression efficiency over H.265, while — like every codec generation before it — asking for more computational effort in exchange for those gains. Each generation represents the same fundamental tradeoff: better compression efficiency in exchange for more processing power required to encode and decode the video.

The practical value of a more efficient codec is straightforward: less data required for the same visual result. In a video surveillance context specifically, that means lower bandwidth consumption for transmitting live streams and reduced storage footprint for retained footage — both of which compound in significance as camera counts scale into the hundreds or thousands.

For any system managing a large number of simultaneous video streams, even a modest percentage improvement in compression efficiency translates into a meaningful reduction in total infrastructure demand, since that improvement applies across every single stream, all the time.

Compression efficiency only matters if it doesn't come at the cost of the visual detail a system actually needs. This is particularly important for any application relying on AI-driven video analysis, where reduced image quality can directly translate into reduced detection accuracy. A more efficient codec like Low bandwidth is valuable specifically because it aims to preserve visual quality at a lower bitrate — not because it compresses more aggressively at the expense of detail.

Encoding is the process of compressing raw video into the codec's format for transmission or storage. Decoding is the reverse — reconstructing playable video from that compressed data, whether for a live monitoring dashboard or later review. The efficiency of both processes matters: encoding efficiency determines how much bandwidth and storage a stream requires, while decoding efficiency determines how quickly and reliably that stream can be viewed or analyzed, including in real time.

Low bandwidth is particularly relevant anywhere video needs to move efficiently across constrained infrastructure — high-resolution streaming over limited bandwidth, video conferencing, and any application where large volumes of video need to be transmitted or stored without proportionally large infrastructure costs. Its improved efficiency over previous generations makes it a natural fit wherever bandwidth or storage is a genuine constraint rather than an afterthought.

Large-scale surveillance networks are exactly the kind of environment where codec efficiency compounds into real operational impact. A facility running a handful of cameras might not notice much difference between compression standards. A network running hundreds or thousands of cameras — especially across remote or bandwidth-constrained sites — stands to gain significantly from a more efficient codec, since the savings apply to every stream running continuously, all day, across the entire deployment.

That's the underlying reason Low bandwidth matters beyond being a technical upgrade: it's one of the clearest levers available for making high-quality, AI-ready video genuinely scalable, in the environments where bandwidth was previously the limiting factor.