{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854129","patent":{"patent_number":"US-9854129","title":"Image processing apparatus, method for controlling same, and storage medium for improving a processing efficiency in an image processing apparatus which includes a multi-core processor","assignee":null,"inventors":[],"filing_date":"2015-11-27T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","G06T","H04N","H04N","H04N"],"num_claims":18,"abstract":"A scheduler of an image processing apparatus allocates processing of control programs of the image processing apparatus to a plurality of cores when it is determined that a processor is mounted to a peripheral unit. The scheduler allocates a control program of the peripheral unit and a program related to a control program for the peripheral unit among the control programs of the image processing apparatus to at least one core among the plurality of cores and allocates remaining control programs among the control programs of the image processing apparatus to remaining cores among the plurality of cores when it is determined that a processor is not mounted to the peripheral unit."},"analysis":{"summary":"The Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent introduces a system that optimizes image processing efficiency by dynamically allocating processing tasks across multiple cores. This innovation addresses the problem of inefficient resource utilization in traditional image processing systems, which often struggle to keep up with the increasing demands of high-resolution images and real-time video processing. The key technical approach involves a scheduler that intelligently allocates control programs to different cores based on the presence or absence of peripheral units. When a processor is mounted to a peripheral unit, the scheduler distributes the processing of control programs across multiple cores, maximizing parallel processing capabilities. Conversely, when a processor is not mounted, the scheduler allocates control programs related to the peripheral unit to specific cores while distributing remaining control programs to other cores.\n\nThe business value of this technology lies in its ability to significantly improve processing speed, reduce energy consumption, and enhance the overall performance of image processing systems. This can lead to advancements in various applications, including medical imaging, security surveillance, autonomous vehicles, and consumer electronics. The market opportunity is substantial, as the demand for high-quality images and videos continues to grow. By optimizing resource utilization and reducing processing overhead, this patent can enable the development of more powerful and energy-efficient image processing systems, providing a competitive advantage to companies that adopt this technology. \n\nFurthermore, the patent's focus on dynamic allocation and adaptability to different hardware configurations makes it a versatile solution for a wide range of applications. This flexibility can lead to increased adoption rates and broader market penetration. The potential for cost savings through reduced energy consumption and improved processing efficiency can also drive adoption, particularly in industries where these factors are critical. In conclusion, the Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent represents a significant step forward in the field of image processing, offering a compelling solution for optimizing performance and reducing energy consumption.","layman_explanation":"The Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent addresses the challenge of efficiently processing images in a world where image resolution and video quality are constantly increasing. Existing image processing systems often struggle to keep up with these demands, leading to slow processing times and increased energy consumption. This patent offers a solution by intelligently managing how image processing tasks are distributed across multiple processing cores, similar to how a team of workers can complete a project faster by dividing the work among themselves.\n\nInstead of relying on a fixed distribution of tasks, this patent introduces a dynamic system that adapts to the specific hardware configuration and the presence of peripheral devices. Imagine a scenario where you have a computer with multiple processors, and you connect a high-resolution camera to it. The patented system will recognize the presence of the camera and allocate processing tasks accordingly, ensuring that the image processing is optimized for the specific device. This dynamic allocation is like having a smart manager who assigns tasks based on the availability and capabilities of each team member.\n\nThis innovation matters because it can significantly improve the performance of image processing systems in a wide range of applications. In medical imaging, it can lead to faster and more accurate diagnoses. In autonomous vehicles, it can enable real-time image processing for navigation and safety. In consumer electronics, it can enhance the quality of photos and videos. The potential market impact is substantial, as the demand for high-quality images and videos continues to grow. By optimizing resource utilization and reducing processing overhead, this patent can create significant business value for companies that adopt this technology.\n\nThe future applications of this technology are vast. As image resolution and video quality continue to increase, the need for efficient image processing systems will become even more critical. The patented system provides a foundation for further innovation and customization, allowing developers to tailor the technology to specific application requirements. The market adoption timeline is likely to be driven by the increasing demand for high-performance image processing in various industries. The investment implications are significant, as companies that invest in this technology can gain a competitive edge in the rapidly evolving image processing market.","technical_analysis":"The Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent details a system designed to enhance the efficiency of image processing through intelligent management of multi-core processors. The technical architecture centers around a scheduler that dynamically allocates processing tasks to different cores based on the presence or absence of peripheral units. This adaptive approach ensures optimal resource utilization, maximizing parallel processing capabilities when possible and strategically assigning tasks when peripheral units are not connected.\n\nThe implementation involves sophisticated algorithms that analyze the dependencies between control programs and peripheral units. The scheduler uses this information to minimize communication overhead and maximize parallel processing. Performance monitoring is also integrated, allowing the scheduler to dynamically adjust its allocation strategy in response to changing workloads. This dynamic adjustment is crucial for maintaining optimal performance under varying conditions.\n\nFrom a code-level perspective, the scheduler would likely be implemented using a combination of data structures and control flow mechanisms. Data structures would be used to represent the control programs, peripheral units, and core assignments. Control flow mechanisms would be used to implement the allocation algorithms and performance monitoring routines. Integration patterns would involve interfacing with the operating system's process management and memory management facilities to ensure efficient resource utilization. This technology has implications for developers working on image processing applications, as it provides a framework for optimizing performance and reducing energy consumption. The system's adaptability and dynamic allocation strategy make it a valuable tool for a wide range of image processing tasks.","business_analysis":"The Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent presents a significant business opportunity in the image processing market. The core innovation lies in its ability to optimize resource allocation in multi-core processors, leading to enhanced efficiency and reduced energy consumption. This technology has the potential to disrupt various industries, including medical imaging, security surveillance, autonomous vehicles, and consumer electronics.\n\nThe market opportunity is substantial, driven by the increasing demand for high-resolution images and real-time video processing. The competitive advantages of this patent include its dynamic allocation strategy, adaptability to different hardware configurations, and potential for cost savings through reduced energy consumption. These advantages can translate into increased revenue potential for companies that adopt this technology. The business models that can be built around this patent include licensing the technology to hardware manufacturers, developing and selling image processing software that incorporates the patented system, and providing consulting services to help companies optimize their image processing workflows. \n\nFrom a strategic positioning perspective, this patent can enable companies to differentiate themselves from competitors by offering more efficient and powerful image processing solutions. The ROI projections for this technology are promising, with the potential for significant cost savings and increased revenue generation. The strategic implications are clear: companies that invest in this technology can gain a competitive edge in the rapidly evolving image processing market. The market opportunity size is substantial, with the potential for significant growth in the coming years. The combination of these factors makes this patent a compelling investment opportunity for executives and investors.","faqs":null,"topics":["image processing optimization","multi-core processing","image processing efficiency","dynamic scheduler","patent","image","processing","apparatus"],"tech_cluster":null},"seo":{"title":"Efficient Multi-Core Image Processing - Patent US-9854129","description":"Optimize image processing with this innovative multi-core system. Discover the Image Processing Apparatus, Method for Controlling Same, and Storage Medium for Improving a Processing Efficiency in an Image Processing Apparatus Which Includes a Multi-core Processor patent.","keywords":["image processing optimization","multi-core processing","image processing efficiency","dynamic scheduler","patent","patent US-9854129"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854129","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-9854129","citation_suggestion":"Patentable. \"Image processing apparatus, method for controlling same, and storage medium for improving a processing efficiency in an image processing apparatus which includes a multi-core processor\" (US-9854129). https://patentable.app/patents/US-9854129","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854129","json":"https://patentable.app/api/llm-context/US-9854129","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:16:10.342Z"}