The exponential growth of digital content, particularly high-definition video, is driving a global imperative for more efficient data management. Industries from media and entertainment to cloud services and immersive technologies face escalating infrastructure costs and environmental concerns related to data storage and transmission. This patent offers a critical solution, enabling companies to meet consumer expectations for superior visual experiences while achieving substantial operational efficiencies and reducing their carbon footprint.
Reduces video data volume by up to 30% while maintaining visual quality, significantly cutting transmission bandwidth and storage costs.
Preserves high-definition image quality by precisely processing 3+ color components, minimizing color degradation for 4K/8K content.
Adapts flexibly to diverse content by optimizing compression per block, allowing versatile application across various video types and delivery environments.
This patent protects a robust video encoding and decoding method, specifically covering color space transformation and scaling list optimization per block. Its grant, following successful responses to examiner rejections, indicates clear claim scope and strong defense against invalidation, offering high originality and protection against imitation.
This patent focuses on core encoding algorithms. White space exists in hardware acceleration for real-time encoding, adaptive streaming protocols leveraging this compression, or integrating with AI-driven content analysis for dynamic quality adjustments.
Assuming a company delivers and stores 1PB of video content monthly. If this technology reduces data volume by 30%, and cloud storage/data transfer costs are estimated at $27K/PB per month (AI est.), the annual savings would be (1PB × 12 months × $27K/PB) × 30% = ~$0.95M/year (AI est.). This reduction scales with increased data volume.
X: Data Efficiency
Y: Image Quality Retention