Virtual Object Processing for User-Intent Image and Audio Output
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Solution Overview
Problem
Existing technologies do not facilitate obtaining images and sounds according to a user's intention in a virtual space, limiting the personalized experience in virtual environments.
Innovation Solution
An information processing apparatus and method that allows users to set specific objects as targets for image and audio processing through input interfaces, using controllers to apply processing based on user operations, enabling personalized image and sound output in virtual spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic image processing is applied to all objects in virtual space, then processing efficiency is improved, but user intention accuracy deteriorates
Solution Approach 1:
The system segments the virtual space into multiple regions and identifies specific objects within those regions that match user selection criteria. Instead of processing all objects uniformly, the system divides the processing task into targeted segments based on spatial location and object characteristics, thereby improving efficiency while maintaining accuracy.
Solution Approach 2:
The system applies different processing qualities to different local regions of the virtual space. Objects selected by the user receive enhanced processing attention, while unselected objects receive standard processing. This local differentiation ensures that processing resources are allocated efficiently to where they are most needed, balancing productivity with intention accuracy.
2Measurement precision
If manual object selection is required for image processing, then user intention accuracy is improved, but operation complexity increases
Solution Approach 1:
The system enables objects to self-identify and self-select based on their characteristics and the user's selection criteria. Objects automatically determine their relevance to the user's intent and position themselves accordingly, eliminating the need for complex manual selection operations while maintaining high accuracy in identifying user intentions.
Solution Approach 2:
The selection mechanism serves multiple functions simultaneously: it identifies user intentions, determines processing priorities, and positions objects for optimal rendering. This multi-functionality reduces the operational steps required from the user perspective while maintaining accurate intention recognition.
3Manufacturing precision
If depth of field is adjusted for each object individually, then image quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary calculations of depth of field parameters for all objects in advance, storing these pre-computed values in a database. When image processing is required, the system retrieves the pre-calculated depth of field values rather than computing them in real-time, significantly reducing processing time while maintaining high image quality through accurate depth adjustments.
Solution Approach 2:
The depth of field adjustment operates continuously in the background as objects enter or leave the user's field of view, rather than performing discrete recalculations for each object. This continuous processing approach maintains image quality while distributing the computational load over time, reducing the perceived processing delay.
Data Source
AI summary
An information processing apparatus causes a display to display an image obtained in a virtual space, the display being provided for a user, the virtual space being configured to allow an avatar indicating the user to move. The information processing apparatus includes: an input interface that receives a user operation to set a specific object as a target for predetermined image processing, among objects arranged in the virtual space; and a controller that causes the display to display a processed image obtained by applying the image processing to the specific object in the virtual space, based on the user operation.