Audio Embedding Search for Video Management Retrieval

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Solution Overview

Problem

Analyzing vast amounts of video content to retrieve relevant content based on sound features is cumbersome and inefficient.

Innovation Solution

A video management system (VMS) utilizing pretrained text-audio encoders to encode audio signals and text prompts, enabling the ranking and retrieval of relevant video content based on audio embeddings, allowing users to search for video content by describing sound features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional video content analysis methods are used to retrieve video content based on sound features, then comprehensive search capability is achieved, but the process becomes cumbersome and inefficient

Engineering Contradiction:

Improvevideo content retrieval efficiencyVSAvoidsearch process complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces audio embeddings as an intermediary representation that bridges audio signals and text queries. These embeddings transform raw audio data into a standardized vector format that can be efficiently compared with text-described sound features, eliminating the need for complex direct analysis between audio and text modalities

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms audio signals from their original time-domain representation into frequency-domain features and subsequently into embedding vectors. This parameter transformation enables efficient comparison and ranking by converting complex audio data into a compact mathematical representation suitable for rapid searching

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If vast amounts of video content are manually analyzed to find relevant content, then complete coverage is achieved, but time consumption increases significantly

Engineering Contradiction:

Improvesearch accuracyVSAvoidcontent retrieval time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary encoding of audio signals into embeddings during video ingestion and storage. This advance preparation creates ready-to-use representations that can be rapidly queried later without requiring real-time analysis, significantly reducing retrieval time while maintaining accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual or traditional mechanical analysis methods with machine learning-based embedding models. These models automatically extract and represent sound features, substituting labor-intensive processes with automated computational approaches that are both faster and more accurate

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12608422B2Video management system and method for audio event search and classification

Publication Date: 2026.04.21 ROBERT BOSCH GMBH

AI summary

A method includes defining, by a text encoder, a set of text embeddings for a text prompt indicative of a search query for video content having audio data indicative of a sound feature that is defined as a search parameter of the search query, and ranking a plurality of audio embeddings indicative of a plurality of audio signals and provided in a vector database using the set of text embeddings of the search query. The method further includes detecting a relevant audio record associated with an identified audio embedding from among the ranked audio embeddings, and outputting a relevant video content associated with the relevant audio record to have a computing device play the video content, the relevant video content being obtained from among a plurality of video content.