The exponential growth of video data, particularly 4K/8K content, is pushing existing infrastructure to its limits. Industries from entertainment to security face immense pressure to deliver high-quality visuals with minimal latency and cost. Regulatory demands for data retention and environmental concerns over energy consumption further compel businesses to adopt more efficient data handling solutions, making advanced compression technologies like this indispensable for future-proof operations.
Achieves High Image Quality and Compression Ratio: This technology adjusts the weighting of inter-prediction and intra-prediction based on evaluation results, minimizing image degradation while achieving high compression efficiency. This enables high-quality transmission and storage of high-definition video content.
High Compatibility with Existing Systems: It can be integrated as a prediction image correction module into existing image encoding/decoding devices. Requiring no major system changes, companies can rapidly integrate this technology into their video processing pipelines and realize early return on investment.
Robust Technical Superiority: Patentability was recognized despite 7 prior art references, demonstrating clear differentiation from existing technologies. This robust patent, having overcome rigorous examination, provides licensees with a secure foundation for business expansion.
This patent protects a method for adjusting weighted average processing in predicted image correction, demonstrating clear differentiation from existing technologies despite 7 prior art references. Its robust claim structure, developed with expert legal counsel, suggests strong enforceability and resilience against invalidation.
This patent primarily covers the algorithmic adjustment of prediction image correction. White space exists in areas such as novel hardware accelerators for real-time processing, advanced content-adaptive streaming protocols, or integration with AI for semantic video analysis beyond basic motion/intra prediction.
Improved video compression efficiency (~15%) directly reduces communication bandwidth and storage fees for companies handling large volumes of video data. Assuming a company transfers and stores 100TB of video data annually, considering communication costs of ~$350/month per TB (AI est.) and storage costs of ~$50/month per TB (AI est.), the estimated cost reduction is (~$350 + ~$50) × 15% × 100TB × 12 months = ~$72K/year (AI est.), rounded to ~$50K/year (AI est.).
X: Data Compression Efficiency
Y: Image Quality Preservation