Scene-by-Scene Data Application Execution on Disk Reproduction Apparatus
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Solution Overview
Problem
Conventional optical disk storage media, such as HD-DVD and Blu-ray, face limitations in processing large data applications due to resource constraints in reproduction apparatuses, leading to long loading times and restricted configurations, which hinder the provision of personalized and versatile data applications.
Innovation Solution
A method that executes data applications on a scene-by-scene basis by obtaining and generating scene resource data based on user or device identification, allowing for efficient processing and personalization, even with large data sizes, by reading and updating basic data applications from disk media or external storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the size of the data application is increased to provide more functions and content, then the versatility and personalization of the data application is improved, but the processing resources of the reproduction apparatus become insufficient and the execution time increases
Solution Approach 1:
The data application is divided into multiple scenes, where each scene represents a functional unit that can be independently loaded and executed. This segmentation allows the system to load only the necessary scene resources rather than the entire application, reducing memory consumption and execution time while maintaining versatility.
Solution Approach 2:
Scene resource data is pre-processed and stored in advance, including all necessary resources for each scene. This preliminary preparation enables the reproduction apparatus to quickly load and execute scenes without extensive processing during runtime, thereby reducing execution time while supporting large-scale applications.
2Adaptability or versatility
If the size of the data application is increased to provide personalized content, then the personalization capability is improved, but the memory resources of the reproduction apparatus become insufficient
Solution Approach 1:
The application is segmented into scenes with their own dedicated resource data. This allows the system to load only the memory resources required for the current scene rather than allocating memory for the entire application, effectively managing limited memory resources while supporting personalized content.
Solution Approach 2:
Each scene has its own localized resource data tailored to specific personalization requirements. This local quality approach ensures that memory is allocated efficiently for each scene's specific needs rather than pre-allocating memory for all possible personalized content, optimizing memory utilization.
3Adaptability or versatility
If the bandwidth for data transmission is limited, then the network transmission capability is constrained, but the ability to provide personalized data applications with various configurations is reduced
Solution Approach 1:
The data application is segmented into scenes that can be transmitted independently over the network. This segmentation allows for efficient bandwidth utilization by transmitting only the necessary scene resources rather than the entire application, enabling configuration flexibility within bandwidth constraints.
Solution Approach 2:
Specific scene resource data is extracted and transmitted based on user needs and device capabilities. This extraction approach allows the system to provide personalized configurations by selectively transmitting only the required data portions, optimizing bandwidth usage while maintaining versatility.
4Reliability
If the data application is loaded and processed in the reproduction apparatus, then the data application can be executed locally, but the loading time and processing time increase for large data applications
Solution Approach 1:
The application is segmented into scenes that can be loaded incrementally rather than all at once. This segmentation reduces the initial loading time and allows the system to execute local scenes quickly while maintaining the capability to load additional scenes as needed, balancing local execution reliability with reduced time loss.
Solution Approach 2:
Scene resource data is pre-processed and prepared in advance, including validation and optimization. This preliminary action ensures that when scenes are loaded locally, they can be executed efficiently with minimal processing time, maintaining reliable local execution while reducing time loss.
Data Source
AI summary
A data application based on a reproduction apparatus of a disk media is disclosed. In accordance with method, a scene resource data corresponding to each scene of a data application based on a base data application of the disk media or the reproduction apparatus to execute the data application on a scene-by-scene basis, thereby minimizing a time required for the execution of the data application and a limit of a size of the data application, and providing the data application personalized based on a device information or a user information.