The escalating demand for high-quality video streaming necessitates optimized workflows and cost control for content providers. Bandwidth consumption, storage, and encoding inefficiencies pose major challenges. AI and Content-Adaptive Encoding (CAE) offer a solution.
CAE dynamically adjusts encoding parameters based on content complexity, enhancing efficiency without sacrificing visual quality. Unlike traditional fixed bitrate encoding, AI analyzes video content granularly, assigning optimal parameters. This minimizes file sizes and bandwidth usage. Netflix's pioneering work (2015-2018) demonstrated over 30% bitrate reduction without noticeable quality loss (VMAF metric).
Solutions like VisualOn Optimizer provide near-optimal efficiency with lower computational overhead. Streaming providers are adopting this to enhance quality, reduce costs, and improve delivery. EiTV, a digital entertainment provider, reduced video bitrates by 40% using VisualOn Optimizer, significantly lowering CDN costs. "It took all of two weeks for EiTV to put VisualOn Optimizer into production."
Intigral, a leading MENA media provider, achieved a 40% average bitrate reduction (peaking at 70%) with VisualOn Optimizer, verified by VMAF and blind tests. This improved KPIs like startup time and buffering. "VisualOn Optimizer delivered 40% average bitrate savings, peaking at 70%, without compromising quality, as verified by VMAF and blind tests. It also improved KPIs such as startup time and buffering ratio." The solution eliminated costly multi-pass encoding, saving computation and energy.
Beyond cost savings, AI-driven CAE enhances adaptive bitrate streaming (ABR), real-time optimization, and sustainability. Collaborations with Axinom, Intel, and Quanteec advance AI-powered encoding. A study with Axinom showcased the effectiveness of AI-driven bitrate allocation, reducing bandwidth while maintaining quality. An Intel collaboration demonstrated up to 40% bitrate reduction with quality enhancement using VisualOn Optimizer on Intel hardware.
VisualOn's partnership with Quanteec focuses on sustainable streaming. Reduced bandwidth minimizes energy consumption and infrastructure strain. As streaming expands, AI-powered CAE is crucial for optimization. Providers using AI-driven solutions benefit from reduced bandwidth, improved workflows, and enhanced scalability, maintaining high visual fidelity and achieving substantial cost savings and sustainability benefits. Companies like EiTV and Intigral show successful implementation without extra hardware costs.