The competitive landscape in digital media and broadcasting is intensifying, with consumers demanding ever-higher quality content. This pushes companies to invest heavily in infrastructure for 4K/8K streaming and storage. Simultaneously, environmental regulations and corporate sustainability goals are pressuring data centers to reduce energy consumption. This technology directly addresses these pressures by enabling significant bandwidth and storage cost reductions, potentially up to 20%, allowing businesses to meet market demands for quality while improving operational efficiency and environmental footprint.
Maximizes encoding efficiency while suppressing image quality degradation: Optimally controlling de-blocking filter application based on transformation type could prevent blur in decoded video, maintaining high image quality while potentially reducing data volume by up to 20%.
Reduces processing load, improves real-time performance: Eliminating unnecessary filter processing when no discontinuities exist between blocks reduces overall encode/decode load, thereby enhancing real-time processing capabilities.
Achieves stable video quality in a highly competitive domain: This technology, granted patentability after comparison with 5 prior art documents, offers a robust solution to existing challenges. Stable video quality enhances user experience and provides differentiation against competitors.
This patent protects the core control logic for de-blocking filters in video encoding and decoding devices, covering various aspects through 6 claims. It was granted after successfully addressing examiner objections, demonstrating robust patentability and stability for licensees.
This patent primarily covers de-blocking filter control logic within video encoding. White space exists for developing novel hardware accelerators for this logic or integrating AI/ML for other pre/post-processing video enhancements.
Bandwidth and storage costs for video streaming services are proportional to video quality and data volume. Assuming an average 15% improvement in encoding efficiency, a company transferring and storing 1PB of data monthly could achieve approximately $2.5M/year in cost savings. (1PB/month × 12 months × bandwidth/storage unit cost [e.g., $0.15/GB (AI est.)] × 15% reduction rate = ~$2.5M/year (AI est.)). This offers significant economic benefits by improving service quality while curbing investments in existing infrastructure.
X: Encoding Efficiency
Y: Image Quality Preservation