The escalating demand for high-definition and real-time video content across industries is straining existing network infrastructures and increasing operational costs. Regulatory pressures for sustainable data management and consumer expectations for seamless, high-quality streaming are driving the urgent need for more efficient video compression technologies. This patent offers a critical solution to mitigate bandwidth congestion, reduce storage expenses, and enable new services in a rapidly evolving digital landscape.
Maximize Encoding Efficiency: Reduces video data volume by an average of ~20% through optimized residual signal processing in intra-prediction, significantly lowering high-definition video distribution costs.
Dramatically Improve Bandwidth Utilization: Achieves superior quality content delivery within limited bandwidth by efficiently reducing entropy through unique transformation processes, highlighting its distinctiveness with minimal prior art.
Optimize for Next-Gen Communication: Designed for ultra-low latency and high-definition video transmission required by 5G/6G, establishing long-term technological leadership with exclusivity until 2041.
This patent comprehensively protects encoding devices, decoding devices, and programs through claims 1-4, enabling broad commercial application. Its registration with minimal prior art and successful navigation of examiner rejections indicate strong originality and robust, difficult-to-invalidate rights. This strong IP provides a solid foundation for licensees to differentiate themselves and maintain long-term market advantage.
This patent primarily covers intra-prediction optimization within video encoding. Licensees could develop complementary IP in areas such as inter-prediction algorithms, advanced error concealment techniques, or specialized hardware acceleration for real-time encoding.
Assuming a licensee operates a video streaming service, this technology could reduce data volume by an average of ~20% compared to conventional encoding. With an estimated annual communication cost of ~$4.0M (AI est.), based on a monthly data transfer of 500TB and a cost of ~$6,500/TB (AI est.), a 20% reduction could yield an annual cost saving of ~$0.8M (AI est.). This creates capacity for increased high-definition content delivery and investment in new services.
X: Encoding Efficiency
Y: Bandwidth Cost Reduction