Media Quality Filtering for Cloud Backup Storage

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Solution Overview

Problem

Current cloud backup solutions for personal media content are inefficient, as they often require storing low-quality media, leading to increased storage costs and network usage.

Innovation Solution

An electronic device and method that optimize automatic backup by caching and filtering low-quality media content, improving video quality, and aggregating remotely generated media content for backup, using a combination of media analysis, content recognition, and user confirmation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If all media content is backed up to cloud storage, then media content is preserved and accessible, but storage costs and network usage increase significantly

Engineering Contradiction:

Improvemedia content preservationVSAvoidstorage space required

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent changes the parameter of quality assessment by analyzing media content quality metrics (blur, exposure, focus, saturation, sharpness, noise) to determine which content meets a minimum quality threshold. This parameter-based filtering allows the system to preserve only high-quality media content in cloud storage, resolving the contradiction between content preservation and storage space requirements

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent segments media content into two categories: high-quality content that meets the minimum quality threshold and is backed up to cloud storage, and low-quality content that is cached locally but not backed up. This segmentation approach allows the system to maintain reliability for important content while reducing overall storage requirements

Inventive Principle:

Principle #1Segmentation

2Reliability

If multiple pictures are taken of the same scene, then the likelihood of getting a good image increases, but storage requirements increase

Engineering Contradiction:

Improveimage quality assuranceVSAvoidstorage space required

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent applies quality parameter analysis to multiple images of the same scene, evaluating each image against minimum quality thresholds (blur, exposure, focus, saturation, sharpness, noise). This allows the system to identify and retain only the highest quality images from multiple captures, ensuring image quality assurance while minimizing storage space requirements by eliminating redundant low-quality copies

Inventive Principle:

Principle #35Parameter changes

3Reliability

If video recording is extended to capture complete events, then event coverage is improved, but video file size increases

Engineering Contradiction:

Improveevent coverageVSAvoidstorage space required

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extends quality analysis to video content by evaluating video files against minimum quality thresholds. The system can identify portions of extended video recordings that meet quality standards and separate them for backup, or assess overall video quality to determine backup eligibility. This allows improved event coverage through extended recording while controlling storage space by backing up only the quality portions

Inventive Principle:

Principle #35Parameter changes

4Quantity of substance

If cloud storage is used to handle large amounts of digital content, then storage capacity is sufficient, but subscription costs increase

Engineering Contradiction:

Improvestorage capacityVSAvoidstorage cost

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The patent implements a quality threshold parameter that filters media content before cloud backup, ensuring only high-quality content is stored in cloud storage. This parameter-based selection reduces the total volume of content requiring cloud storage, thereby reducing subscription costs while maintaining sufficient storage capacity for valuable content

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent extracts and removes low-quality media content from the backup process entirely, caching it locally without uploading to cloud storage. This extraction of unnecessary content reduces the quantity of data requiring paid cloud storage capacity, directly addressing the contradiction between storage capacity needs and subscription costs

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12279037B2Pre-filtering locally stored image/video content for cloud backup

Publication Date: 2025.04.15 MOTOROLA MOBILITY LLC

AI summary

An electronic device, method, and computer program product optimize automatic backup of locally stored media content such as videos and images by identifying and locally caching low quality content rather than automatically backing up to reduce network storage. Image capturing device(s) of the electronic device generates media content of at least one of images and videos. A controller of the electronic device receives the media content from the image capturing device(s). The controller determines a quality value of the media content and stores the media content in a cache data structure in memory. The controller stores, in a digital camera image data structure in the memory, media content having a quality value that is greater than or equal to a minimum quality threshold level. The controller uploads, via a communication network to a network storage service, the portion of the media content stored in the digital camera image data structure.