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Wiki

Explanation of terms and acronyms related to the media and broadcasting world. Updated every week!

Encoder

Basically, “Encoder” is a device that is used to convert data from one format to another. It can be either software or hardware. An encoder is important for converting the forage from your camera to streamable data.

RTMP (Real Time Messaging Protocol) is the most popular format for the converted data. The encoder takes the format that is required and converts it into codecs (decompression/compression/). For instance, H.264 is the standard for streaming internet sources. It is also the suggested video compression format for high definition (HD) because it can generate lossless encoding.

  • Software encoders

Software encoders are programs that run on laptop or desktop computer. The quality on software encoders is great. You can change or tweak most facets of the codecs (decompressors/compressors) to get the video quality and bit-rate you want.

 

  • Hardware Encoders

Hardware encoders are dedicated processors. These encoders use a designed algorithm to encode data and video into streamable content. These encoders can come in larger permanent fixtures or smaller, portable boxes.

 

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Upcoming Webinar

How AI is Going to Revolutionize Video Delivery
How AI is Going to Revolutionize Video Delivery

As media libraries expand and viewer demands accelerate, traditional media management methods are struggling to keep pace. In this webinar, we’ll dive into how AI — both today’s practical solutions and tomorrow’s transformative innovations — is going to reshape the way streaming platforms, broadcasters, and enterprises manage, organize, and distribute content across Digital Asset Management (DAM) and Media Asset Management (MAM) systems. This session will give you a clear roadmap for harnessing AI — both current tools and emerging frontiers — to transform your media operations into a faster, smarter, and future-ready ecosystem.

Things the webinar would cover:

  • AI-driven content workflows: Automate captioning, audio-to-text conversion, subtitle translation, and multi-language transcription
  • Smart content discovery: Unlock scene-level video search, automated chaptering, and AI-generated metadata
  • AI-native content creation: Instantly generate training videos, marketing clips, or explainers directly from documents, URLs, or text prompts 
  • Agentic AI for media: Explore how autonomous AI agents can manage content ingestion, quality checks, compliance editing, and metadata enrichment
  • Next-gen video editing: Use simple prompts to mute, blur, annotate, or clip scenes
  • Personalization and localization at scale: Automate dubbing, voice cloning, localized metadata tagging, and audio translation 
  • Intelligent recommendations: From dynamic playlist curation and personalized ad insertions to predictive analytics 
  • Next-gen distribution intelligence: Learn how AI optimizes encoding ladders, predicts CDN traffic patterns, suggests smarter storage strategies, and enables dynamic playout based on device and bandwidth conditions.

Upcoming Webinar

May 29

9:00 AM PST

30 Minutes
Headphone

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