Tag-Based Media Search for Non-Text Asset Discovery

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Solution Overview

Problem

Existing search algorithms are ineffective for non-text media assets due to the lack of associated text or limited text, making it difficult to perform efficient searches.

Innovation Solution

A tag-based query language (TQL) system that utilizes tag and attribute metadata to identify relevant media assets, allowing for flexible and extensible search capabilities across various media types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional search algorithms are used to search non-text media, then the search system can handle text-based media effectively, but it becomes ineffective for non-text media due to lack of associated text

Engineering Contradiction:

Improvesearch capability for non-text mediaVSAvoidsearch effectiveness

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces metadata as an intermediary layer between non-text media and search queries. Metadata serves as a bridge that connects media assets to search terms, enabling text-based search algorithms to effectively search non-text media by translating media properties into searchable metadata attributes

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the search system into distinct components: a metadata layer that describes media assets, a query language that operates on metadata, and search algorithms that process queries. This segmentation allows each component to be optimized independently, with the metadata layer providing the necessary structure for searching non-text media

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If a comprehensive metadata system is implemented to enable flexible searching, then search versatility improves, but system complexity increases

Engineering Contradiction:

Improvesearch flexibilityVSAvoidsystem structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal metadata framework that can describe multiple types of media assets (audio, video, images) using a consistent set of attributes. This multi-functional metadata system handles diverse media types through a unified structure, reducing the need for separate search systems for each media type

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent employs a query language that dynamically adjusts search parameters based on the media type and desired filters. The system can change search parameters flexibly to match different query requirements while maintaining a consistent underlying metadata structure, enabling versatile searching without proportional increases in system complexity

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12361051B1Systems and methods for locating media using a tag-based query

Publication Date: 2025.07.15 SIMPLEC LLC

AI summary

Systems and methods are provided for locating assets using a tag-based query. A computer-implemented method for identifying relevant media assets may include the operations of associating metadata with stored media assets, receiving a query that includes one or more query expressions identifying at least a tag and an attribute for a set of desired media assets, and comparing the one or more query expressions with the metadata for each stored media asset to identify the set of desired media assets. The metadata for each media asset may include tag metadata and attribute metadata, where attribute metadata identifies one or more pre-defined attributes of the media asset, and tag metadata is not limited to any pre-defined set.