Media Indexing Engine
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Discover
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Media Indexing Engine
AI-Powered
Revolutionise multimedia management with AI
Discover our Media Indexing Engine, designed to intelligently manage and retrieve multimedia content. Thanks to automated organisation and categorisation of images, videos, and audio files, you will unveil the full narrative depth of your materials.
Media Indexing Engine Overview
Media Indexing Engine by WEBSENSA automatically analyses images, videos and audio files, turning them into structured, searchable assets.
It identifies people, emotions, objects, scenes, sounds, dialogues and more – making even the most complex media archives accessible and actionable.
This solution is designed for organisations working with high-volume multimedia who need quicker discovery, better tagging, and deeper insights.
Key Features
Key Components
01.
Analyse Visual Content
The Media Indexing Engine uses AI to recognise people, emotions, locations, objects, and text across images and videos. This enhances searchability, enabling precise categorisation and rapid content retrieval.
02.
Analyse Audio Content
Our AI processes audio tracks to detect speakers, generate descriptions, translate speech, identify explicit language, and recognise emotional tone. This multi-layered analysis unlocks a deeper understanding of your audio files.
03.
Find Relevant Scenes
By combining visual, emotional, textual, and sound analysis, the system pinpoints exact moments within media files – such as scenes containing both a police car and sirens. This streamlines navigation through large video and audio collections.
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Why Choose Media Indexing Engine?
Media Indexing Engine radically accelerates how teams work with multimedia content. It unifies advanced vision and audio AI into a single platform, providing fast, accurate, multi-dimensional indexing that goes far beyond traditional manual tagging or single-tag search tools.
Its ability to analyse complex, cross-modal patterns (image + sound + text) makes it a powerful asset for organisations that depend on quick, precise access to specific moments within large media archives.
Industries Served
Research Teams We Serve
Film Studios, Media Libraries & Archives
Ideal for organisations managing extensive video databases – helps detect faces, emotions, objects, and complex multi-element scenes.
News Agencies & Publishers
Instant search through vast collections of photos and footage enables faster, more accurate content creation for time-sensitive news cycles.
Television & Radio
Enriches media assets with descriptive tags, making it easy to find people, locations or emotions based on simple text queries – essential for fast-paced broadcasting teams.
Corporations
Scans and classifies internal video and audio content for compliance, training and internal communications, improving auditability and ensuring messaging consistency.
How to Get Started
Implementing the Media Indexing Engine typically takes 2 to 4 months. The process starts by providing access to your media libraries and metadata. Based on this, we configure AI modules to analyse images, audio and video. We then integrate the solution with your current systems through API or cloud deployment.
Ready to enhance your multimedia management?
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Additional information
01.
PROJECT VALUE
4,633,997.51 PLN
02.
Contribution from European funds
3,485,668.54 PLN
03.
Project implementation period
2020 – 2022
The development of the WARRP platform was co-financed by the European Union from the European Regional Development Fund within the Intelligent Development Program 2014 – 2020.
The project was realised as part of a competition by the National Centre for Research and Development: "Industrial research and development work carried out by enterprises".
