Virtual Information Processing Apparatus for Automated Content Generation

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Solution Overview

Problem

Existing information processing systems struggle to efficiently perform high-load data processing such as image quality improvement and re-encoding, which require significant processing capability and resources, often leading to delayed responses and inadequate user preferences being met.

Innovation Solution

A system where network-connected information processing apparatuses operate as a virtual unit, automatically performing data processing based on user preferences by leveraging surplus processing capability, using a resource management mechanism to optimize resource utilization and generate multiple content patterns automatically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If high-load data processing such as image quality improvement and re-encoding is performed manually, then processing precision and quality can be controlled, but processing time increases and response speed decreases

Engineering Contradiction:

Improvedata processing qualityVSAvoidresponse speed

Core Design Contradiction:

Manufacturing precisionVSSpeed

Solution Approach 1:

The system enables automatic data processing by having the information processing apparatus itself perform processing tasks without requiring manual user intervention. The apparatus autonomously identifies processing needs, selects appropriate processing parameters, and executes processing operations to improve both speed and quality simultaneously

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs data processing in advance before users actually need the processed content. By proactively identifying and processing data based on predicted user needs or scheduled requirements, the system reduces response time when users access the content while maintaining processing quality through automated optimization

Inventive Principle:

Principle #10Preliminary action

2Productivity

If multiple data processing tasks are performed simultaneously, then processing productivity increases, but system resource consumption increases and may cause delays

Engineering Contradiction:

Improveprocessing throughputVSAvoidsystem resource consumption

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts processing parameters and resource allocation based on real-time system state and processing requirements. By making processing capacity and resource distribution variable rather than fixed, the system can optimize throughput while preventing resource exhaustion and delays through adaptive management

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system divides complex data processing tasks into smaller, manageable processing units that can be executed independently. This segmentation allows multiple processing operations to proceed in parallel without overwhelming system resources, improving overall productivity while maintaining stable resource consumption levels

Inventive Principle:

Principle #1Segmentation

3Speed

If automatic data processing is implemented, then response time improves, but the system becomes more complex requiring advanced resource management mechanisms

Engineering Contradiction:

Improveresponse timeVSAvoidsystem complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system employs a universal processing framework that can handle multiple types of data processing operations through a single integrated architecture. By designing the resource management mechanism to serve multiple processing functions simultaneously, the system reduces overall complexity compared to having separate specialized systems for each processing task

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The automatic processing system incorporates feedback mechanisms that continuously monitor processing status, resource utilization, and output quality. This feedback enables the system to self-regulate and optimize performance automatically, reducing the need for complex external control systems while maintaining fast response times

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS7519612B2Information processing system, information processing method, and computer program used therewith

Publication Date: 2009.04.14 SATURN LICENSING LLC

AI summary

An information processing system uses data processing for content. The system includes a preference-data manager for managing user's preferences concerning types of the data processing which are used for said content, a content generator for generating content by using a user-preferred type of the data processing for said content, a content storage unit for storing said content as original content and the content generated by said content generating means, and a resource manager which manages system resources and which, in response to availability of the resources, requests said content generating means to process said content.