Audiovisual Content Backup Selection Using Quality Descriptors
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Solution Overview
Problem
Existing solutions for backing up and sharing audiovisual content on electronic devices are inefficient due to high memory usage, potential loss of content, and high communication resource requirements, and do not fully meet user expectations for selective backup operations.
Innovation Solution
A method that uses audiovisual descriptors computed through spatio-temporal and time-frequency mathematical transforms to select content for backup based on user-defined rules, including quality, presence of faces or known places, similarity, and privacy, which are applied during backup operations to optimize the selection and duplication of content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all audiovisual contents are backed up, then content reliability is improved, but memory usage and communication resources are excessively consumed
Solution Approach 1:
The patent changes the parameter of content selection from binary (backup all or none) to continuous by introducing quality scores and similarity metrics. Contents are selected based on quality thresholds and similarity comparisons, allowing the system to backup only necessary content while maintaining reliability.
Solution Approach 2:
The patent applies local quality by evaluating and selecting individual contents based on their specific quality attributes rather than treating all contents uniformly. Each content is assessed independently using quality metrics and similarity measures to determine backup priority.
2Quantity of substance
If selective backup using exclusion/inclusion rules is implemented, then memory usage is reduced, but selection accuracy does not fully meet user expectations
Solution Approach 1:
The patent implements feedback by computing quality scores and similarity metrics for each content, then using these metrics to automatically adjust backup selections. The system provides intelligent feedback about what will be backed up based on user-defined criteria, improving selection accuracy beyond simple inclusion/exclusion rules.
Solution Approach 2:
The patent replaces manual rule-based selection with an automated intelligent system that uses quality metrics and similarity computations. This substitution of mechanical rule-following with intelligent automated decision-making improves both memory efficiency and user expectation fulfillment.
3Manufacturing precision
If high-quality audiovisual contents are selected for backup, then content quality is improved, but communication bandwidth requirements increase
Solution Approach 1:
The patent changes the approach by introducing similarity as a selection parameter. Instead of backing up all high-quality contents, the system identifies and backs up only representative high-quality contents by comparing similarity metrics, reducing redundant backups while maintaining quality.
Solution Approach 2:
The patent applies copying by creating selective duplicates of only the most representative high-quality contents rather than copying all high-quality contents. This intelligent copying strategy maintains content quality while minimizing communication bandwidth consumption.
Data Source
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AI summary
The present disclosure relates to a method, adapted to be implemented in an electronic device, for selecting a content, during a backup operation, amongst a plurality of contents coding audiovisual data and being accessible by the electronic device. According to one embodiment, the method comprises: - obtaining, for each accessible content, one audiovisual descriptor derived from the audiovisual data; - selecting the accessible content according to one backup rule taking into account the obtained audiovisual descriptor. The present disclosure also relates to corresponding electronic device, system, computer readable program product and computer readable storage medium.