Recently, Non-Fungible Tokens (NFTs) have garnered considerable interest. Several digital assets that NFTs point to are either in existing JPEG formats or can be represented in current and emerging formats under development by the JPEG Committee. Additionally, various trust and security concerns have been raised about NFTs and the digital assets on which they rely. […]
Recent advances in media manipulation, particularly deep learning based approaches, can produce near realistic media content that is almost indistinguishable from authentic content to the human eye. These developments open opportunities for creative production of new content in the entertainment and art industry. However, they also lead to the risk of the spread of manipulated
JPEG standards are used in storage and archival of digital pictures. This puts the JPEG Committee is a good position to address the challenges of DNA-based storage by proposing an efficient image coding format to create artificial DNA molecules. JPEG DNA has been established as an exploration activity within the JPEG Committee to study use
JPEG Pleno aims to provide a standard framework for representing new imaging modalities, such as texture-plus-depth, light field, point cloud, and holographic imaging. Such imaging should be understood as light representations inspired by the plenoptic function, regardless of which model captured or created all or part of the content. JPEG Pleno standard tools will be designed together to
The purpose of the Advanced Image Coding and Evaluations work is to locate and evaluate new scientific developments and advancements in image coding research. Relevant topics include new compression methodologies and quality evaluation methodologies and procedures. The work of the JPEG AIC project produced a technical report, Guidelines for image coding system evaluation in ISO/IEC TR 29170-1:2017
The scope of JPEG AI is the creation of a learning-based image coding standard offering a single-stream, compact compressed domain representation, targeting both human visualization, with significant compression efficiency improvement over image coding standards in common use at equivalent subjective quality, and effective performance for image processing and computer vision tasks, with the goal of
The development of Next Generation Sequencing (NGS) technologies enable the usage of genomic information as everyday practice in several fields, but the growing volume of data generated becomes a serious obstacle for a wide diffusion. The lack of an appropriate representation and efficient compression of genomic data is widely recognized as a critical element limiting
Genomic Information Representation Read More »
In April 2020, MPEG announced the completion of the new ISO/IEC 23094-1 standard, i.e., MPEG-5 Essential Video Coding (EVC). There is a constant demand for more efficient video coding technologies, but coding efficiency is not the only factor determining the industry’s choice of video coding technology for products and services. The standard offers improved compression
MPEG-5 Essential Video Coding Read More »
In October 2020, MPEG announced the completion of the new ISO/IEC 23094-2 standard, i.e., Low Complexity Enhancement Video Coding (MPEG-5 Part 2 LCEVC). LCEVC adds an enhancement data stream that can appreciably improve the resolution and visual quality of reconstructed video with effective compression efficiency of limited complexity by building on top of existing and
Low Complexity Video Codec Enhancements Read More »
MPEG has recently completed the work on Compact Descriptors for Visual Search (CDVS), which enables efficient search in large-scale image collections. While this standard is an important step forward, there are still open challenges from the large and quickly growing amount of video, for example, in the media and entertainment industry, in the automotive industry
Compact Descriptors for Video Analysis (CDVA) Read More »
