Media Guidance App Clip Library Management

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Solution Overview

Problem

Conventional media systems struggle to efficiently store and manage media clips based on user preferences, often recording content that the user is not interested in viewing, leading to cluttered libraries and unnecessary searching.

Innovation Solution

An interactive media guidance application that monitors user viewing habits to automatically identify and store clips of interest, using user profiles and metadata analysis to determine preferred content types and store relevant portions for later viewing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If conventional media systems store multiple video clips based on user-defined parameters, then the quantity of stored media increases, but the user experience deteriorates due to cluttered libraries and difficulty in finding relevant content

Engineering Contradiction:

Improvequantity of stored media clipsVSAvoidease of finding relevant clips

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system extracts and stores only the specific portions of media that match user preferences and viewing context, rather than storing entire media files or all matching clips. This selective extraction of relevant segments reduces library clutter while maintaining access to desired content.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies different storage rules based on local conditions - considering user preferences, current viewing context, and media characteristics to determine which specific portions to store. This localized decision-making ensures only highly relevant clips are saved, improving search efficiency.

Inventive Principle:

Principle #3Local quality

2Reliability

If conventional systems record all media matching user criteria, then comprehensive coverage is achieved, but storage efficiency decreases due to redundant and unwanted content

Engineering Contradiction:

Improvecompleteness of media coverageVSAvoidstorage resource consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary analysis of user preferences and viewing habits before storing media clips. By pre-evaluating which portions are likely to be relevant based on user profile and current context, the system avoids storing unwanted content, reducing storage waste while maintaining reliability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from user viewing behavior and preferences to dynamically adjust which clips are stored. This feedback mechanism ensures storage resources are allocated to content the user actually wants, improving both completeness and efficiency.

Inventive Principle:

Principle #23Feedback

3Manufacturing precision

If manual selection of media clips is required, then storage precision is improved, but user time and effort increase significantly

Engineering Contradiction:

Improveprecision of media selectionVSAvoidtime for clip selection and management

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system automatically performs media clip selection based on user preferences and viewing context without requiring manual user intervention. The system serves itself by making intelligent decisions about what to store, achieving high precision while eliminating time loss.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system introduces an intermediary layer of intelligent analysis between user preferences and media storage. This intermediary automatically interprets user needs and selects appropriate clips, providing precise selection without requiring direct user time investment.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If automated clip identification is implemented, then productivity increases, but system complexity increases due to monitoring and analysis requirements

Engineering Contradiction:

Improvespeed of media clip generationVSAvoidcomplexity of monitoring system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system uses a multi-functional analysis mechanism that simultaneously evaluates user preferences, viewing context, and media characteristics to determine clip storage. This universal approach achieves high productivity through a single integrated system rather than multiple separate components.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10503770B2Methods and systems for generating a media clip library

Publication Date: 2019.12.10 ADEIA GUIDES INC

AI summary

Methods and systems for automatically generating a media clip library comprising preferred portions of media assets for a user. In one aspect, the system retrieves a profile of the user from memory. Based on the profile, the system identifies a preferred content type for the user. The system identifies a portion of a media asset matching the preferred content type and generates for display the portion of the media asset. The system receives a user input to interrupt the display of the portion of the media asset. Based on receiving the user input, the system retrieves a media clip library associated with user and updates the media clip library to include the portion of the media asset.