The relentless growth of global data traffic, particularly high-resolution video, is driving urgent demand for more efficient compression technologies. Industries from entertainment to surveillance are grappling with escalating infrastructure costs and environmental impact. Simultaneously, consumer expectations for seamless, high-quality streaming and immersive experiences (VR/AR) are rising. This technology directly addresses these pressures, offering a strategic advantage to companies seeking to optimize their digital infrastructure, reduce operational expenditures, and meet sustainability goals in a fiercely competitive market.
Increases data compression efficiency by ~20%: Efficiently reduces entropy in intra-prediction, potentially cutting data volume by an average of ~20% while maintaining equivalent image quality.
Maintains and enhances visual quality: Suppresses video block noise and maintains high image quality through optimal orthogonal transformation based on reference pixel positions used for prediction image generation.
Ensures market exclusivity with robust IP: Secures long-term technological advantage in the market as an S-rank patent that overcame 5 prior art documents and multiple office actions.
This patent protects a video encoding and decoding system that significantly improves compression efficiency through adaptive intra-prediction, specifically covering residual signal inversion and optimal orthogonal transformation based on reference pixel positions. Its robust S-rank status was achieved by overcoming multiple rejections and a final refusal, demonstrating a meticulously refined and difficult-to-invalidate claim scope.
This patent primarily covers intra-prediction enhancements. Licensees could develop complementary IP in areas such as inter-prediction algorithms, advanced post-processing filters, or novel hardware acceleration architectures for video encoding beyond the core intra-prediction module.
Assuming a video streaming service provider transfers 10PB of data annually. If this technology reduces data volume by an average of 20%, it could save 2PB of data transfer annually. Estimating data transmission and storage costs at ~$500K/PB (AI est.), this projects an annual cost reduction of ~$500K/PB × 2PB = ~$1M (AI est.). This directly shortens equipment investment payback periods.
X: Data Compression Efficiency
Y: Visual Quality Retention