AV Content Settings Selection via Feature Association

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Solution Overview

Problem

Users, especially in multi-user households, may not be able to select optimal TV settings for AV content due to lack of familiarity with available settings or the need to manually adjust settings for each program, leading to suboptimal viewing experiences.

Innovation Solution

A method and system that automatically select audio and video settings based on characteristic features of the AV content by associating settings with content attributes, using a weighting system to determine the most suitable setting, which can be adjusted based on user feedback to refine preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users manually select TV settings for each program, then setting optimization is improved, but user effort and time consumption increase

Engineering Contradiction:

Improvesetting optimizationVSAvoiduser effort and time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically analyzes AV content characteristics and selects appropriate settings without requiring user intervention. The processor autonomously determines settings based on content type, genre, and other attributes, allowing the system to serve itself rather than requiring manual user configuration for each program.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-configures and stores multiple TV settings corresponding to different content types and characteristics. Before the user needs to watch content, the system has already prepared appropriate settings based on predicted content characteristics, so settings are ready to be applied automatically when content is detected.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If users create custom settings, then setting flexibility is improved, but device complexity increases

Engineering Contradiction:

Improvesetting flexibilityVSAvoidinterface complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides the setting configuration into discrete, pre-defined categories and options. Instead of requiring users to navigate complex continuous adjustment interfaces, users can select from segmented setting presets (e.g., different picture modes, audio configurations) that are pre-organized by content type, reducing interface complexity while maintaining flexibility.

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If automatic setting selection is implemented, then ease of operation is improved, but measurement precision of content characteristics decreases

Engineering Contradiction:

Improvesetting selection easeVSAvoidcontent characteristic analysis accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system uses an intermediary analysis layer that processes AV content characteristics through defined algorithms and feature extraction mechanisms. This intermediary layer translates complex content data into standardized setting recommendations, mediating between raw content analysis and user-friendly setting selection while ensuring sufficient precision through structured analysis protocols.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11689775B2System and method of setting selection for the presentation of AV content

Publication Date: 2023.06.27 SATURN LICENSING LLC

AI summary

A method of selecting settings for presenting AV content comprises storing a plurality of settings for presenting AV content, storing a plurality of characteristic features corresponding to AV content, storing a plurality of values defining a strength of association between a respective stored characteristic feature and a respective stored setting, obtaining one or more characteristic features from a currently delivered AV content, determining a cumulative strength of association between respective stored settings and respective stored characteristic features corresponding to the or each characteristic feature obtained from the currently delivered AV content, and selecting the stored setting having the greatest cumulative strength of association.