The escalating global data traffic, fueled by 4K/8K streaming, cloud gaming, and AI-driven analytics, necessitates advanced compression technologies. Companies face immense pressure to optimize infrastructure costs while meeting consumer and industrial demands for higher resolution and lower latency. This patent offers a strategic advantage by enabling significant bandwidth and storage savings, crucial for competitive differentiation and sustainable growth in the rapidly evolving digital economy.
Enhances viewer experience by precisely controlling deblocking filters based on weighted coefficients, effectively suppressing block noise and maintaining high image quality for immersive viewing.
Improves encoding efficiency by up to 20% through enhanced prediction accuracy using weighted averaging from multiple reference images, optimizing bandwidth utilization and reducing distribution costs.
Offers broad adaptability to various video formats and distribution environments, enabling integration into existing infrastructure without significant changes, thus supporting diverse use cases.
This patent protects a video encoding system, specifically focusing on the precise control of deblocking filters based on weighted coefficients used in prediction. Its robust claims, which overcame six cited prior art documents during examination, define a stable and strong intellectual property foundation, particularly for dynamically controlling filter processing based on prediction weights.
This patent focuses on deblocking filter control within video encoding. Licensees could develop complementary IP in adaptive bitrate streaming algorithms, content-aware encoding beyond block-level processing, or novel hardware acceleration architectures for specific edge devices.
Assuming an enterprise distributes and stores 1,000 PB of video data annually, a 20% improvement in encoding efficiency could reduce data volume by 200 PB per year. Estimating an average cost of $5,000/PB (AI est.) for cloud storage and CDN, this translates to an annual cost reduction of $5,000/PB × 200 PB = $1.0M (AI est.).
X: Video Quality & Compression Efficiency
Y: Implementation Ease & Versatility