Blu-ray Graphic Data Structure for Resolution Management
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Solution Overview
Problem
Current methods lack effective management of graphic data on high-density read-only optical disks like Blu-ray Disc ROMs, which hinders efficient reproduction and storage of graphic images with varying sizes and color depths.
Innovation Solution
A data structure with a graphic information area comprising graphic image and palette information segments, allowing adjustable color depth and blending ratios, along with encoding methods like discrete cosine transform (DCT) and predictive coding, to optimize storage and reproduction of graphic data on high-density optical disks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If graphic data is recorded with high color depth and high resolution, then image quality is improved, but data size increases
Solution Approach 1:
The graphic data is segmented into multiple resolution levels (first resolution level and second resolution level). The system selectively records and reproduces graphic data at different resolution levels based on available buffer memory, allowing high-quality images when memory is available and lower-quality images when memory is constrained, thus resolving the contradiction between image quality and data size.
Solution Approach 2:
The system dynamically adjusts the resolution level of reproduced graphic data based on the available buffer memory capacity. When buffer memory is sufficient, higher resolution data is used; when buffer memory is limited, lower resolution data is used. This dynamic adaptation resolves the contradiction by making image quality flexible rather than fixed.
2Adaptability or versatility
If multiple graphic images with different sizes and color depths are stored, then versatility is improved, but data management complexity increases
Solution Approach 1:
The data structure is designed to universally handle graphic images with different resolution levels, color depths, and sizes through a unified format. The system uses a common data structure that can accommodate various image types by selectively applying different resolution levels and color depths, eliminating the need for separate management systems for each image type.
Solution Approach 2:
The system changes key parameters (resolution level and color depth) of the same graphic data to create multiple versions suitable for different applications. By maintaining the base graphic data and selectively applying parameter changes, the system achieves versatility without proportionally increasing data management complexity.
3Stability of the object's composition
If graphic data is multiplexed with video/audio stream, then integration is improved, but reproduction synchronization difficulty increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing graphic data at multiple resolution levels before reproduction. During playback, the appropriate resolution level is pre-selected based on buffer memory availability, and graphic data is reproduced in advance. This preliminary preparation simplifies synchronization control during actual playback by reducing real-time decision-making complexity.
Data Source
AI summary
The recording medium includes a graphic information area having at least one graphic image information segment and at least one palette information segment recorded therein. Each palette information segment provides color information. Each graphic image information segment provides reproduction information for reproducing one or more graphic images.