Research, standards and thoughts for the digital world

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MPAI MPEG ISO

An Introduction to the MPAI Metaverse Model Architecture – Part I

This is the first of a series of posts that illustrate Call for Technologies: MPAI Metaverse Model – Architecture , a document inviting interested parties to submit comments to and proposals for Use Cases and Functional Requirements: MPAI Metaverse Model – Architecture . "MPAI Metaverse Model Architecture” is the first Metaverse Architecture standard ever attempted by a standards body. Before starting, let's clarify why is MPAI, a standards body developing standards for AI-based data coding, engaged in the “metaverse”? The…

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A standards body for AI-based data coding

Data is information converted to bits. To know what the bits mean, however, we must know the format, i.e., how information is represented or coded in bits. Data with an unknown format has little value and with a known format has a value that is inversely proportional to the effort required to convert it to an understandable format. Therefore, to be “the New Oil of the Digital Economy”, data should have a standard format. The way international bodies are organised…

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Imperceptibility, Robustness, and Computational Cost in Neural Network Watermarking

Introduction Research efforts, specific skills, training and processing can cumulatively bring the development costs of a neural network anywhere from a few thousand to a few hundreds of thousand dollars. Therefore, the AI industry needs a technology to ensure traceability and integrity not only of a neural network but also of the content generated by it (so-called inference). Faced with a similar problem, the digital content production and distribution industry has considered watermarking as a tool to insert a payload…

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The MPAI 2022 Calls for Technologies – Part 3 (Neural Network Watermarking)

Research, personnel, training and processing can bring the development costs of a neural network anywhere from a few thousand to a few hundreds of thousand dollars. Therefore, the AI industry needs a technology to ensure traceability and integrity not only of a neural network, but also of the content generated by it (so-called inference). The content industry facing a  similar problem, has used watermarking to imperceptibly and persistently insert a payload carrying, e.g., owner ID, timestamp, etc. to signal the ownership of a content item. Watermarking…

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The MPAI 2022 Calls for Technologies – Part 2 (Multimodal Conversation)

Processing and generation of natural language is an area where artificial Intelligence is expected to make a difference compared to traditional technologies. Version 1 of the MPAI Multimodal Conversation standard (MPAI-MMC V1), specifically the Conversation with Emotion use case, has addressed this and related challenges: processing and generation not only of speech but also of the corresponding human face when both convey emotion. The audio and video produced by a human conversing with the machine represented by the blue box…

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August 1992 – the gates open to global digital television

In this article, I continue the tradition of reporting on major MPEG events when one of them comes to an anniversary. This time the anniversary concerns the word “profile”. In July 1990, when the MPEG-1 standard was far from done (it would only be approved in November 1992), a diverse group of individuals attended the first MPEG-2 session, brainstorming on requirements for the "second phase of MPEG work" as MPEG-2 was warily called at that time. The engine took time…

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