AWS for M&E Blog

Abbas Nemr

Author: Abbas Nemr

Abbas Nemr is a Senior Solutions Architect with the Amazon Web Services Telco team in Canada. Abbas specializes in media workloads including ad insertion, live video streaming, and video-on-demand (VOD) processing and automation, in addition to generative AI use cases.

Automate media content filtering with AWS

The recent boom of content creation and creators led by the growth of social media platforms has elevated the need for effective and automated content moderation tools. One area of particular concern is the detection and removal of inappropriate language from video content. In this blog post, we demonstrate a solution to automate inappropriate language […]

AWS Elemental Live encoder 4K/UHD advancements and workflows

Amazon Web Services (AWS) Elemental has a long and rich history when it comes to 4K / Ultra High Definition (UHD) encoding in both live and file-based video workflows. AWS Elemental Live—which processes video streams in near real time—supported the world’s first near-real-time 4K High Efficiency Video Coding (HEVC) transmission when it streamed the Osaka […]

AWS Elemental Live SRT outputs configuration and workflows

Introduction AWS Elemental Live version 2.21 introduced support for ingesting transport stream (TS) inputs using SRT. Now, version 2.22 supports delivering TS outputs using SRT. The SRT (Secure Reliable Transport) protocol is an open-source transport technology optimized for live audio/video streaming. SRT enables secure and reliable transport of content across unpredictable, noisy networks, such as […]

Processing user-generated content using AWS Lambda and FFmpeg

In this post, we introduce a workflow to process media files stored in Amazon Simple Storage Service (Amazon S3) using AWS Lambda that doesn’t require copying files to Lambda’s local storage. Lambda is equipped with temporary storage space of 512 MB, which is often not sufficient for media processing. At the same time, Lambda can […]

Detect silent audio tracks in VOD content with AWS Elemental MediaConvert

Introduction In file-based video processing workflows, content providers often standardize on the mezzanine file format used to share content with their customers and partners. When sharing video-on-demand (VOD) content, produced mezzanine files often have same number of audio tracks regardless of how many are in the actual content. For example, MXF media assets may be […]