{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854235","patent":{"patent_number":"US-9854235","title":"Methods and devices for entropy coding in scalable video compression","assignee":null,"inventors":[],"filing_date":"2013-02-26T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N"],"num_claims":19,"abstract":"Methods and devices for decoding, in a video decoder, a block of enhancement-layer transform domain data for an enhancement-layer encoded video and corresponding to a reconstructed block of reference-layer transform domain data, are provided. The method includes determining a context for an enhancement-layer element based, at least in part, upon elements in the corresponding reconstructed block of reference-layer transform domain data, wherein the elements are identified by a template and wherein the position of the template in the reference-layer reconstructed block is based upon the position of that enhancement-layer element in the block of enhancement-layer transform domain data."},"analysis":{"summary":"Methods and Devices for Entropy Coding in Scalable Video Compression introduces a novel approach to video compression, specifically targeting the enhancement of entropy coding techniques within scalable video coding (SVC) frameworks. The core innovation lies in improving compression efficiency by intelligently leveraging data correlations between the enhancement layer and the reference layer of a video stream.\n\nThe problem addressed is the increasing demand for efficient video compression methods that can adapt to varying network conditions and device capabilities. Existing solutions often struggle to balance compression ratio, video quality, and scalability, leading to issues such as buffering, low resolution, and high bandwidth consumption.\n\nThe key technical approach involves determining a context for enhancement-layer elements based on corresponding reconstructed blocks of reference-layer transform domain data. This allows for more accurate and efficient entropy coding, resulting in improved compression ratios and enhanced video quality.\n\nThe business value and applications of this technology are significant. It can reduce bandwidth costs for streaming services, improve the user experience on mobile devices, and enable new applications for video conferencing and broadcasting. The technology also allows for more efficient use of storage space, which is crucial for applications such as video archiving and cloud storage.\n\nThe market opportunity for this innovation is substantial, given the continued growth of video streaming and the increasing demand for high-quality video experiences. By offering a more efficient and scalable solution for video compression, Methods and Devices for Entropy Coding in Scalable Video Compression has the potential to capture a significant share of the video compression market.","layman_explanation":"Methods and Devices for Entropy Coding in Scalable Video Compression aims to solve the problem of inefficient video compression, which leads to high bandwidth consumption, buffering issues, and degraded video quality. Existing solutions often struggle to balance compression ratio, video quality, and scalability, especially in diverse network conditions.\n\nThis technology works by intelligently leveraging data correlations between different layers of a video stream. Imagine a video stream as a layered cake. The base layer is the reference layer, and the top layers are the enhancement layers. This innovation analyzes the reference layer to help compress the enhancement layers more efficiently. It's like using a map to pack your suitcase more effectively. The key is that it determines the best way to compress each part of the video based on what it already knows about other parts.\n\nThis matters because it can significantly reduce the amount of data needed to transmit video, leading to lower bandwidth costs for streaming services, improved user experience for viewers, and new opportunities for video conferencing and mobile video. It allows for higher quality video at lower bitrates, making it easier to stream video on mobile devices and in areas with limited network coverage. The competitive advantage lies in its ability to adapt to varying network conditions and device capabilities, ensuring a smooth and enjoyable viewing experience for all users.\n\nLooking ahead, this technology could be integrated into a wide range of video applications, from streaming services and video conferencing platforms to mobile devices and cloud storage solutions. The market adoption timeline will depend on the pace of integration by video codec vendors and streaming service providers. For investors, this technology represents a promising opportunity to capitalize on the growing demand for efficient video compression solutions.","technical_analysis":"Methods and Devices for Entropy Coding in Scalable Video Compression focuses on enhancing entropy coding within scalable video compression (SVC) systems. The invention's core technical contribution is a method for determining the context used in entropy coding of enhancement-layer data, leveraging information from the corresponding reconstructed block of reference-layer transform domain data.\n\nThe technical architecture involves a standard SVC encoder and decoder, with modifications to the entropy coding module. The encoder analyzes the reference-layer data to determine the context for coding the enhancement-layer data. This context is then used to select the appropriate probability model for entropy coding.\n\nThe implementation details involve several key steps. First, the reference layer is encoded and decoded using a standard video codec. Second, the enhancement layer is encoded using the proposed entropy coding method. Third, the decoder reconstructs the reference layer and uses this information to decode the enhancement layer.\n\nThe algorithm specifics involve a template that is used to identify elements in the reference-layer reconstructed block. The position of this template is based on the position of the enhancement-layer element in the block of enhancement-layer transform domain data.\n\nIntegration patterns would involve integrating the modified entropy coding module into existing SVC codecs. This would require careful consideration of the interfaces between the entropy coding module and other modules in the codec.\n\nThe performance characteristics of this technology are expected to be improved compression ratios and enhanced video quality, particularly in scalable video coding scenarios. The exact performance gains will depend on the specific video content and the configuration of the SVC system.\n\nThe code-level implications involve modifications to the entropy coding module in the SVC codec. This would require expertise in video coding and entropy coding techniques.","business_analysis":"Methods and Devices for Entropy Coding in Scalable Video Compression presents a significant business opportunity within the rapidly growing video streaming and compression market. The core value proposition lies in its ability to improve compression efficiency and scalability, leading to reduced bandwidth costs, enhanced user experiences, and new revenue opportunities.\n\nThe market opportunity size is substantial. The global video streaming market is projected to reach billions of dollars in the coming years, driven by the increasing popularity of online video platforms and the growing demand for high-quality video content. This technology can help streaming providers to reduce their bandwidth costs, which is a major expense for these companies.\n\nThe competitive advantages of this technology include improved compression ratios, enhanced video quality, and scalability. These advantages can help companies to differentiate themselves from their competitors and attract new customers.\n\nThe revenue potential for this technology is significant. It can be monetized through licensing agreements with video codec vendors, streaming service providers, and other companies in the video ecosystem. Additionally, it can be used to develop new products and services, such as cloud-based video transcoding platforms.\n\nThe business models for this technology could include licensing, subscription, and freemium models. Licensing would involve charging a fee for the use of the technology. A subscription model would involve charging a recurring fee for access to the technology. A freemium model would involve offering a basic version of the technology for free and charging for advanced features.\n\nThe strategic positioning for this technology would be as a key enabler of high-quality video experiences. It can be positioned as a solution that helps companies to reduce their bandwidth costs, improve the user experience, and generate new revenue streams.\n\nThe ROI projections for this technology are promising. By reducing bandwidth costs and improving the user experience, this technology can help companies to increase their profitability and grow their business.","faqs":null,"topics":["video compression","entropy coding","scalable video","video streaming","data compression","methods","devices","entropy"],"tech_cluster":null},"seo":{"title":"Entropy Coding for Scalable Video Compression - Patent US-9854235","description":"Discover how Methods and Devices for Entropy Coding in Scalable Video Compression improves video compression efficiency. Full patent analysis, claims, and technical details.","keywords":["video compression","entropy coding","scalable video","video streaming","data compression","patent","patent US-9854235"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854235","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-9854235","citation_suggestion":"Patentable. \"Methods and devices for entropy coding in scalable video compression\" (US-9854235). https://patentable.app/patents/US-9854235","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854235","json":"https://patentable.app/api/llm-context/US-9854235","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:44:44.606Z"}