The proliferation of 5G/6G networks and the rise of metaverse applications are accelerating the need for ultra-high-definition, low-latency video. Content providers face immense pressure to deliver visually stunning experiences while managing escalating data transmission and storage costs. This technology provides a critical solution, allowing companies to meet consumer demand for premium visual quality and reduce infrastructure overhead, maintaining a competitive edge in a rapidly evolving digital landscape.
Maximizes perceived video vividness by combining luminance and chrominance evaluation, suppressing quality degradation often overlooked by objective metrics.
Optimizes bandwidth utilization by prioritizing bit allocation for critical color information, reducing infrastructure costs.
Demonstrates clear differentiation against existing technologies, with patentability confirmed after comparison with four prior art documents.
This patent protects a video encoding device, program, and method, specifically covering the adjustment of code amounts based on a quality metric that considers both luminance and chrominance signals. Its patentability was affirmed despite four prior art references, indicating strong novelty and inventiveness, and a low risk of invalidation.
This patent primarily covers the encoding process and color signal adjustment. White space exists in areas such as adaptive bitrate streaming protocols, post-processing for display calibration, or AI-driven content analysis for further compression optimization.
Assumes a large-scale video streaming company delivers 100 petabytes (PB) of video data annually. This technology could reduce the average bitrate by ~3%. With combined data transfer and storage costs estimated at ~$0.17/GB (AI est.), the annual savings could be 100 PB × 0.03 × $0.17/GB = ~$500K (AI est.). Additionally, increased user engagement could drive revenue growth, potentially leading to a total economic impact of ~$550K per year (AI est.).
X: Subjective Quality Retention
Y: Bandwidth Efficiency