Data Processing Apparatus Using Vectorization Ratio for Scheme Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing apparatuses face inefficiencies in selecting optimal processing schemes for image data, as current methods do not effectively utilize the degree of compression to determine the best approach between compressed and expanded data formats, leading to suboptimal data processing performance.
Innovation Solution
A data processing apparatus that selects a processing scheme based on the degree of compression of target data using a vectorization ratio as an index, choosing between processing compressed data directly or expanding it for improved performance, employing a scheme selecting unit with a performance predicting unit and a scheme determining unit to decide between vector and raster formats dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is compressed to reduce data transfer bandwidth, then data transfer efficiency is improved, but processing performance may deteriorate due to loss of detail information
Solution Approach 1:
The patent dynamically switches between compressed and uncompressed data processing schemes based on the vectorization ratio. When the vectorization ratio is high (indicating good compression potential), the system uses compressed data processing. When the vectorization ratio is low (indicating poor compression potential), the system switches to uncompressed data processing. This dynamic adaptation resolves the contradiction by optimizing the balance between data transfer efficiency and processing performance based on real-time data characteristics.
2Productivity
If data is expanded from compressed format to improve processing performance, then processing speed is improved, but data transfer bandwidth increases
Solution Approach 1:
The patent changes the parameter of data format (compressed vs. uncompressed) based on the vectorization ratio threshold. By monitoring this parameter and switching between different data states, the system optimizes both processing speed and data transfer bandwidth usage according to the specific characteristics of the input data.
3Device complexity
If a fixed processing scheme is used regardless of data characteristics, then device complexity is reduced, but adaptability to different data types deteriorates
Solution Approach 1:
The system performs self-service by automatically calculating the vectorization ratio of the input data and selecting the appropriate processing scheme without external intervention. The scheme selecting unit autonomously evaluates data characteristics and makes decisions, providing both adaptability and maintaining relatively simple device architecture through automated parameter-based selection.
Data Source
AI summary
A data processing apparatus selects a processing scheme for target data from among candidates by using a degree of compression of the target data as an index, and performs data processing on the target data by using the selected processing scheme. The candidates include a processing scheme in which data which has been compressed is subjected to the data processing, and a processing scheme in which data is expanded and then subjected to the data processing.