Image Processing Apparatus Selective Object Combination
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Solution Overview
Problem
Existing image processing techniques for combining objects often result in increased overall processing costs due to high overhead in determining and performing object combinations, which can outweigh the reduction in processing costs for display list generation.
Innovation Solution
An image processing apparatus and method that predicts the profitability of combining objects by analyzing past objects, allowing for selective processing of object combinations only when a significant reduction in the number of objects is expected, switching between combination modes to optimize processing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If combination processing is performed for each object to reduce the number of objects, then the cost of display list generation processing is reduced, but the overall processing cost increases due to high overhead of combination processing
Solution Approach 1:
The patent applies preliminary action by performing check processing in advance to predict whether combination will be profitable before actually executing combination processing. The determination unit analyzes past objects and predicts future combination outcomes, allowing the system to prepare combination strategies ahead of time and avoid unnecessary combination overhead.
Solution Approach 2:
The patent implements dynamics by making the combination processing adaptive and variable rather than fixed. The system dynamically adjusts whether to perform combination processing on a per-object basis based on predicted profitability, allowing the processing strategy to change flexibly according to the specific characteristics of object sequences.
2Quantity of substance
If combination processing is performed on all objects, then the number of objects is reduced, but the processing cost of combination processing exceeds the reduction in generation processing cost
Solution Approach 1:
The patent applies partial action by performing combination processing selectively on only those objects where it is predicted to be profitable, rather than applying it universally to all objects. The determination unit identifies specific objects that should undergo combination processing based on predictions, performing the action partially rather than excessively.
Solution Approach 2:
The patent implements parameter changes by using the determination unit to analyze and predict based on object parameters such as color, shape, and size. These parameter analyses enable the system to change the profitability parameter that determines whether combination processing should be performed, allowing cost-effective selective combination.
3Measurement precision
If check processing is performed for each object to determine combinability, then accurate combination decisions can be made, but the overhead of check processing reduces overall efficiency
Solution Approach 1:
The patent applies preliminary action by performing check processing in advance to build prediction data from past objects. This preliminary analysis creates a knowledge base that enables faster determination for future objects, reducing the time loss associated with repeated detailed check processing while maintaining accuracy through learned patterns.
Data Source
AI summary
One or more image processing apparatuses, one or more image processing methods and one or more storage mediums are provided herein. In at least one embodiment, an image processing apparatus includes an acquisition unit configured to acquire one or more objects, a check unit configured to perform check processing for checking whether to combine an object with another object, for each of a plurality of objects acquired by the acquisition unit, and a determining unit configured to determine, based on a result of the check processing for each of the plurality of objects, whether to perform the check processing for checking whether to combine an object with another object, for an object acquired subsequently to the plurality of objects by the acquisition unit.