The proliferation of 4K/8K content, immersive VR/AR experiences, and the rapid growth of cloud gaming are placing unprecedented demands on global network infrastructure and data centers. Companies face immense pressure to deliver superior visual quality with minimal latency and cost. Efficient video compression is no longer just an optimization; it's a critical enabler for scaling these services, meeting consumer expectations, and managing escalating operational expenses in a competitive digital landscape.
Reduces Data Volume by ~30%: Achieves high compression ratios compared to conventional techniques by suppressing the increase in signaling flag overhead, even with multiple synthesis methods.
Maintains High Image Quality: Dynamically determines the optimal synthesis method based on the similarity between two predicted images, minimizing image degradation.
Lowers Processing Load: Reduces computational costs in encoding and decoding processes through an efficient prediction algorithm, thereby decreasing system load.
This patent protects a prediction device, encoding device, decoding device, and program, covering a broad scope with 7 claims. Its novelty and inventiveness have been objectively proven through comparison with four prior art documents, establishing clear differentiation from existing technologies. The involvement of a reputable patent firm suggests a meticulously drafted and robust claim set, providing a stable foundation for future enforcement and defense.
This patent primarily covers the video prediction algorithm. Licensees could explore adjacent IP in content-adaptive streaming protocols, advanced error concealment techniques, or specialized hardware acceleration architectures for this specific prediction method.
Assuming a company streaming 100TB of high-definition video content annually adopts this technology, a 30% data volume reduction is achieved. This reduces data transfer costs (~$33.50/TB, AI est.) and storage costs (~$13.50/TB, AI est.). The estimated annual reduction is calculated as (100TB × 30% × $33.50/TB) + (100TB × 30% × $13.50/TB), resulting in an estimated annual cost reduction of ~$1M (AI est.) per facility.
X: Data Compression Efficiency
Y: Image Quality Retention