Audio Processing
How Our Technology Works
Video processing that unlocks context rapidly.
Video is inherently more complex to analyse than audio, but it’s essential for comprehensive broadcast monitoring. eMM’s video processing engine supports real-time analytics, worldwide multi-language coverage, instant alerts, story segmentation, and precise interest definitions, all derived from rich textual representations of both audio and visual content.
Reduce volume, keep meaning.
Keyframe Identification
Keyframe identification captures and stores a complete image from a broadcast stream, significantly reducing the volume of video data that needs to be processed and stored, without losing essential visual context or analytical accuracy.
Understand where scenes change.
Shotcut Detection
Broadcast content rarely stays on a single camera angle. Our Shot-cut detection engine automatically identifies abrupt transitions within a stream, pinpointing exactly where one shot ends and another begins, improving the precision of downstream analysis and reporting.
Turn on-screen text into a searchable signal.
Text detection and recognition
eMM captures audio and video from a vast array of sources, processing them through specialised components to extract every layer of information. By converting on-screen visual cues into text-based outputs, we enable high-scale use cases, including rapid information retrieval, topic tracking, automated summarization, and concept linkage. This structured data allows you to categorize, visualize, and query broadcast content with unprecedented scale and precision.
Make media usable across workflows.
Format Converter
For media to be truly actionable, it must be accessible. Our platform encodes and compresses content into high-performance, streamable formats, then intelligently segments it to support user-defined downloads. Whether you need a quick preview or a full-resolution export, our converter ensures consistent quality and seamless integration into your reporting tools.
Don’t miss what’s already captioned.
Subtitle Reader
When broadcasts provide subtitles or closed captions, eMM automatically extracts them and converts them into time-stamped, searchable text. We also enrich this layer with additional metadata, such as electronic programme guide (EPG) information to provide deeper context and more complete records.
Capture lower-thirds and speaker IDs automatically.
Text Insert Reader
Many programmes display text under speakers, such as names and roles. eMM’s text insert reader detects these visual text blocks and uses OCR to convert them into time-stamped text, adding crucial context that helps clarify who said what.
Book a demo
Ready to see video processing on your channels?
Schedule a demo and we’ll show how eMM extracts searchable, time-stamped context from broadcast video, including keyframes, shot changes, subtitles, closed captions and on-screen text, so you can analyse coverage faster and with greater confidence.
Find more information about the other technologies used by eMM: