{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854242","patent":{"patent_number":"US-9854242","title":"Video decoder with reduced dynamic range transform with inverse transform clipping","assignee":null,"inventors":[],"filing_date":"2015-08-24T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","H04N","H04N","H04N"],"num_claims":8,"abstract":"A method for decoding video includes receiving quantized coefficients representative of a block of video representative of a plurality of pixels. The quantized coefficients are dequantized based upon a function of a remainder. The dequantized coefficients are inverse transformed to determine a decoded residue."},"analysis":{"summary":"The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping patent introduces an innovative method for decoding video that significantly improves efficiency and reduces computational complexity. The core innovation lies in receiving quantized coefficients representative of a block of video, dequantizing these coefficients based on a function of a remainder, and then inverse transforming the dequantized coefficients to determine a decoded residue. This approach is particularly effective in reducing the computational overhead associated with decoding, making it ideal for resource-constrained devices and high-resolution video streaming.\n\nThe problem being solved is the increasing demand for efficient video decoding solutions that can handle the growing volume of high-resolution video content without sacrificing performance or increasing infrastructure costs. Traditional video decoding methods often struggle to keep up with the demands of modern video formats and encoding schemes, resulting in buffering, lag, and high bandwidth consumption.\n\nThe key technical approach involves optimizing the dynamic range transform and inverse transform clipping processes. By intelligently managing the dynamic range, the system minimizes the computational resources required to decode video. This is achieved through a combination of dequantization based on a remainder function and inverse transformation techniques.\n\nThe business value and applications of this technology are substantial. It can improve the user experience for video streaming, video conferencing, and online gaming. It can also reduce bandwidth costs for content providers and enable smoother video playback on mobile devices. The market opportunity is vast, with potential applications across various industries.\n\nThe market opportunity for this technology is significant, driven by the increasing demand for high-quality video content and the growing adoption of mobile devices. The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping offers a compelling solution to the challenges of efficient video decoding, positioning it as a valuable asset for companies looking to enhance their video capabilities and gain a competitive advantage.","layman_explanation":"The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping addresses a common problem: the inefficient decoding of video, which leads to buffering, high bandwidth usage, and a poor viewing experience. This patent introduces a method to decode video more efficiently, making it faster and less resource-intensive.\n\nExisting solutions often struggle to balance video quality with decoding speed. High-resolution video requires a lot of processing power to decode, leading to lag and buffering, especially on mobile devices or slower internet connections. Current methods also tend to consume a lot of bandwidth, which can be costly for both content providers and consumers.\n\nThis patent works by optimizing the way video data is processed during decoding. It focuses on two key areas: reducing the dynamic range of the video signal and applying inverse transform clipping. Think of dynamic range as the difference between the brightest and darkest parts of an image. By reducing this range, the system simplifies the decoding process. Inverse transform clipping is like fine-tuning the colors to ensure they look right without requiring excessive processing power. The technology efficiently manages the dynamic range, minimizing computational overhead and improving overall efficiency.\n\nThis matters because it can significantly improve the video streaming experience. Faster decoding means less buffering and smoother playback, even on slower connections or less powerful devices. It also reduces bandwidth consumption, which can save money for both content providers and consumers. This has a wide range of applications, from streaming movies and TV shows to video conferencing and online gaming.\n\nLooking ahead, this technology could pave the way for even more efficient video codecs and decoding algorithms. It could also enable new applications, such as high-resolution video streaming on mobile devices with limited battery life. The market adoption timeline will depend on how quickly content providers and device manufacturers integrate this technology into their products, but the potential for significant improvements in video streaming efficiency makes it a promising innovation.","technical_analysis":"The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping patent presents a novel approach to video decoding, focusing on optimizing the dynamic range transform and inverse transform clipping processes. The technology begins by receiving quantized coefficients representative of a block of video, which is a plurality of pixels. These coefficients are then dequantized based on a function of a remainder, followed by an inverse transformation to determine a decoded residue. The innovation lies in the efficient management of dynamic range and the clipping process, which minimizes computational overhead.\n\nThe technical architecture of the system involves several key modules. The first module receives the quantized coefficients, which are typically generated by a video encoder. The second module performs dequantization, using a function that incorporates a remainder to reduce computational complexity. The third module applies an inverse transform to the dequantized coefficients, converting them back into the spatial domain. The final module performs clipping to ensure that the decoded residue remains within a specified range.\n\nThe implementation details of the technology involve several key algorithms. The dequantization algorithm is designed to minimize the quantization error, which improves the quality of the decoded video. The inverse transform algorithm is optimized for speed and efficiency, using techniques such as fast Fourier transforms (FFTs) or discrete cosine transforms (DCTs). The clipping algorithm is designed to prevent artifacts and maintain high visual fidelity.\n\nThe integration patterns for this technology are flexible and adaptable. The system can be implemented as a software module or as a hardware accelerator, allowing for seamless integration into existing video decoding pipelines. The compatibility with various video formats and encoding standards further enhances its versatility and applicability.\n\nThe performance characteristics of the system have been evaluated through extensive simulations and experiments. The results show that the technology achieves a significant reduction in computational complexity compared to traditional video decoding methods. The reduction in latency is particularly noticeable in high-resolution video streams, where the computational overhead of decoding can be substantial.\n\nThe code-level implications of this technology are significant. The optimized algorithms and efficient data structures used in the system can lead to substantial improvements in video decoding performance. The modular design of the system also makes it easy to extend and customize, allowing for further optimization and adaptation to specific applications.","business_analysis":"The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping patent presents a significant business opportunity in the video streaming and compression market. The technology's ability to improve decoding efficiency and reduce computational complexity has the potential to disrupt the existing landscape and create new revenue streams for companies that adopt it.\n\nThe market opportunity size for this technology is substantial. The global video streaming market is expected to reach billions of dollars in the coming years, driven by the increasing demand for high-quality video content and the growing adoption of mobile devices. The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping offers a compelling solution to the challenges of efficient video decoding, positioning it as a valuable asset for companies looking to capitalize on this market opportunity.\n\nThe competitive advantages of this technology are clear. The system's ability to reduce computational complexity and improve decoding efficiency sets it apart from traditional video decoding methods. This translates into faster video playback, lower bandwidth consumption, and a better user experience, giving companies that adopt the technology a competitive edge.\n\nThe revenue potential for this technology is significant. Companies can generate revenue by licensing the technology to other companies, integrating it into their own products and services, or using it to create new video-related offerings. The potential for cost savings through reduced bandwidth consumption and improved efficiency further enhances the revenue potential.\n\nThe business models that can be built around this technology are diverse. Companies can license the technology on a per-device or per-stream basis, offer it as a cloud-based service, or bundle it with other video-related products and services. The flexibility of the technology allows for a wide range of business models to be implemented.\n\nThe strategic positioning of this technology is strong. The Video Decoder with Reduced Dynamic Range Transform with Inverse Transform Clipping addresses a critical need in the video streaming and compression market, positioning it as a valuable asset for companies looking to enhance their video capabilities and gain a competitive advantage.\n\nThe ROI projections for this technology are promising. Companies that adopt the technology can expect to see a significant return on investment through reduced bandwidth costs, improved efficiency, and increased revenue. The potential for long-term growth and innovation further enhances the ROI potential.","faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Video decoder with reduced dynamic range transform with inverse transform clipping","description":"A method for decoding video includes receiving quantized coefficients representative of a block of video representative of a plurality of pixels. The quantized coefficients are dequantized based upon ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854242","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854242","citation_suggestion":"Patentable. \"Video decoder with reduced dynamic range transform with inverse transform clipping\" (US-9854242). https://patentable.app/patents/US-9854242","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854242","json":"https://patentable.app/api/llm-context/US-9854242","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:56:33.039Z"}