Motion Imaging Journal

The May issue of the Journal focuses on compression. The use of artificial intelligence (AI) in compression, the use of dynamic development of encoding profiles for adaptive bitrate (ABR) to achieve efficient multicodec streaming, and an extension of the JPEG XS standard with coding tools that improve its performance on the compression of screen content and image sequences with static backgrounds are all addressed in the articles. The issue also includes a virtual production case study demonstrating realtime workflow.

Inside

Linear Versus Nonlinear Perception
Real-World Use of AI for Better Video Compression
Toward Efficient Multicodec Streaming
Camille—Virtual Production Case Studies Considerations for Working With LED Walls for Independent Filmmakers
Siegfried Foessel: Leading Media Technology Innovation and Standardization
Smpte Almanac

This year we are printing five issues of the Journal: January/February, April, July, September, and October. The other issues will be available online only.

The SMPTE Sum-Up

Linear Versus Nonlinear Perception

Switching, Routing, and Wireless Essentials (CCNA2)

Understanding SMPTE ST 2110

The SMPTE Sum-Up

Linear Versus Nonlinear Perception

Switching, Routing, and Wireless Essentials (CCNA2)

Understanding SMPTE ST 2110

Inside

AI and Machine Learning

Cloud

Renard Jenkins

Workflows

IP Systems Requirements

Progress Report

Mixed Topics

Streaming/ OTT

IP- Based Systems: A User's View

Compression

AI and Machine Learning

Mixed Topics

Mixed Topics

Workflows

Cloud

Progress Report

HDR

IP-Based Systems / PTP Networks

UHD

Compression

AI and Machine Learning

ATSC 3.0

Emerging Technologies for the Global Media Community

Emerging Technologies

Immersive Media

Progress Report

Compression (Online Only)

8K

Audio (Online Only)

IP-Based Systems

Streaming/OTT

Artificial Intelligence (AI)/Machine Learning

Blockchain