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The MPEG 143 took place in Geneva from July 17-21, 2023. Most of the meetings were held in the ITU-T headquarters and the nearby conference center.

Video coding updates and milestones

A.    ISOBMFF

MPEG Systems (WG 3) finalized ISO/IEC 23001-17 – Carriage of uncompressed video and images in ISO Base Media File Format (ISOBMFF) – by promoting it to the Final Draft International Standard (FDIS) stage. The ISOBMFF supports the carriage of a wide range of media data such as video, audio, point clouds, haptics, etc., which is now further expanded to uncompressed video and images.

WG 3 also enhanced the capabilities of the ISO Base Media File Format (ISOBMFF) family of standards by promoting two standards to their first milestone, Committee Draft Amendment (CDAM):

-       ISO/IEC 14496-12 (8th edition) CDAM 1 – Support for T.35, original sample duration, and other improvements – will enable the carriage of the user data registered as specified in ITU-T Rec. T.35 as part of the media sample data. It also supports a more efficient way of describing subsamples by referencing the same features defined by other subsamples.

-       ISO/IEC 14496-15 (6th edition) CDAM 3 – Support for neural-network post-filter supplemental enhancement information and other improvements – will enable the carriage of the newly defined Supplemental Enhancement Information (SEI) messages for neural-network post-filters in ISOBMFF. The carriage of the neural-network post-filter characteristics (NNPFC) SEI message and the neural-network post-filter activation (NNPFA) SEI message enable the delivery of a base post-processing filter and a series of neural network updates synchronized with the input video pictures.

Both standards are planned to be completed, i.e., to reach the status of Final Draft Amendment (FDAM), by the end of 2024.

B.    VVC

MPEG Joint Video Experts Team with ITU-T SG 16 (WG 5) issued the Final Draft International Standard (FDIS) texts of the third editions of the Versatile Video Coding (VVC, ISO/IEC 23090-3) and the Versatile Supplemental Enhancement Information (VSEI, ISO/IEC 23002-7) standards. The corresponding twin texts were also submitted to ITU-T SG 16 for consent as ITU-T H.266 and ITU-T H.274, respectively. New elements contained in VVC are the support of an unlimited level for the video profiles, as well as some technical corrections and editorial improvements on top of the second edition text of VVC. Furthermore, the VVC-specific support is specified for some supplemental enhancement information (SEI) messages that may be included in VVC bitstreams but are defined in external standards. These SEI messages include two systems-related SEI messages, (a) one for signaling of green metadata as specified in ISO/IEC 23001-11 and (b) the other for signaling of an alternative video decoding interface for immersive media as specified in ISO/IEC 23090-13. Furthermore, four other SEI messages are contained in the third edition of VSEI, namely (i) the shutter interval information SEI message, (ii) the neural network post-filter characteristics SEI message, (iii) the neural-network post-processing filter activation SEI message, and (iv) the phase indication SEI message.

While the shutter interval indication is already known from Advanced Video Coding (AVC) and High Efficiency Video Coding (HEVC), the new one on subsampling phase indication is relevant for variable-resolution streaming. The two SEI messages for describing and activating post-filters using neural network technology in video bitstreams could, for example, be used for reducing coding noise, spatial and temporal upsampling, colour improvement, or general denoising of the decoder output. The description of the neural network architecture itself is based on MPEG’s neural network representation standard (ISO/IEC 15938‑17). As results from an exploration experiment have shown, neural network-based post-filters can deliver better results than conventional filtering methods. Processes for invoking these new post-filters have already been tested in a software framework and will be made available in an upcoming version of the VVC reference software (ISO/IEC 23090-16).

C.   Current and legacy codecs

MPEG Joint Video Experts Team with ITU-T SG 16 (WG 5) also issued the Committee Draft (CD) text of the eleventh edition of the Advanced Video Coding standard (AVC, ISO/IEC 14496-10) and the Committee Draft Amendment (CDAM) text for extension of the High Efficiency Video Coding standard (HEVC, ISO/IEC 23008-2). Both add specific supports for three new supplemental enhancement information (SEI) messages from the third edition of Versatile Supplemental Enhancement Information (VSEI), namely (i) the subsampling phase indication SEI message, (ii) the neural network postfilter characteristics SEI message, (iii) and the neural-network post-processing filter activation SEI message, so these can be included in AVC and HEVC bitstreams. Furthermore, code point identifiers for YCgCo-R colour representation with equal luma and chroma bit depths, and for a colour representation referred to as IPT-PQ-C2 (from the upcoming SMPTE ST 2128 specification) are added. The new edition of AVC also contains some technical corrections and editorial improvements on top of the 10th edition text, and the HEVC amendment specifies additional profiles supporting multiview applications, namely a 10-bit multiview profile, as well as 8-bit, 10-bit, and 12-bit monochrome multiview profiles, which could be beneficial for coding depth maps as auxiliary pictures.

D.    Video Coding for Machines (VCM) and Feature Coding for VCM (FCVCM)

A total of 56 input documents related to VCM were presented in the ad-hoc group and break-out-group meetings, including two by the Florida Atlantic University: “Containerized VCM Reference Software”, and “Study of DCT-Based Filtering for Improving Machine Task Performance”. Timeline for VCM standardization was agreed upon: July 2023 - Working Draft, July 2024 - Committee Draft, October 2024 - Draft International Standard, April 2025 – Final Draft International Standard. The Working Draft document was issued after the meeting.

Regarding FCVCM, the intermediate report was issued for the Calls for Proposals (CfP): The timeline was strictly followed. All test materials were crosschecked before May 2nd. A total of 19 proposal registrations were received before the July 3rd deadline. So far, the CfP progress is on schedule, and only some minor issues were spotted. The next major milestone is bitstream files and results upload before September 13th. All proposals will be evaluated at the October meeting, and the Working Draft is scheduled for release in November 2023.

Future video coding explorations

Two main venues of exploration for future video coding keep producing improved results (although still with prohibitive complexity).

The “Exploration experiment on enhanced compression beyond VVC capability” reported combined improvements of the ECM-9.0 over VTM-11.0ecm8.0 anchor as follows:

-       For All-Intra configuration, 11.59% overall bitrate improvement at the cost of 788.5% for the encoder and 430.8% for the decoder.

-       For Random Access configuration, 21.03% overall bitrate improvement at the cost of 685.5% for the encoder and 777.1% for the decoder.

-       For Low Delay configuration, 17.10% overall bitrate improvement at the cost of 596.3% for the encoder and 596.4% for the decoder.

The Neural network-based video coding reported combined improvements over the previous reference model as follows:

-       For All-Intra configuration, 7.81% overall bitrate improvement at the cost of 201% for the encoder and 4507% for the decoder.

-       For Random Access configuration, 6.62% overall bitrate improvement at the cost of 132% for the encoder and 7557% for the decoder.

-       For Low Delay configuration, 4.98% overall bitrate improvement at the cost of 138% for the encoder and 7257% for the decoder.

Call for interest - Audio coding for machines

All audio coding schemes and formats standardized by MPEG have so far targeted human consumption of audio content. High compression ratios have been achieved by incorporating models of the human auditory system. Such data formats might not be adequate for computerized analysis of sound and sound scenes. Audio Coding for Machines is targeting several new applications where computers, rather than humans, are listening and analyzing audio content.

In principle, two different operations modes are foreseen:

-               The new data format is used to store and exchange data to be used in the development of audio analysis algorithms. In general, this will involve training artificial intelligence (AI) models using huge data sets.

-               The new data format is used for the communication between acoustic sensors and some analysis and control algorithms. In general, such algorithms will be AI-based and trained on huge data sets.

For both operation modes, the data set will contain the audio essence together with rich metadata describing the content.

MPEG’s WG2 is assessing the pros and cons of working on Audio Coding for Machines (ACoM). WG2 invites contributions from within and outside MPEG on this topic. Contributions might include expressions of interest in using such a format in applications, or in working on the creation and standardization of the technology. 

Interested parties might be, but are not limited to, from academic institutions, research labs, service providers, device manufacturers, equipment vendors, network operators, and technology providers.

MPEG Roadmap after 143rd meeting

MPEG issued updated roadmap that keeps being shaped by significant developments and needs:

•       The relentless increase of IP-distributed and mobile media

•       Higher quality media

•       More immersion (UHD, VR, AR, Light Fields, Holography)

•       The Internet of Media Things & Wearables

•       Cloud-based media processing, storage and delivery

•       New high-speed networks including fiber, 5G mobile, and cable 10G

•       New emerging technologies (machine vision, AI)

The 142nd MPEG meeting took place in Antalya, Turkey from April 24-28. This was the first time MPEG held its quarterly meeting in Turkey. The organization was good, and the impressions of experts and visitors were positive.

Feature Coding for Video Coding for Machines

MPEG issued the call for proposals (CfP) for Feature Coding for Video Coding for Machines (FCVCM). As we already mentioned in our blog, Video Coding for Machines (VCM) has been under development for a couple of meeting cycles. The main purpose of VCM is to standardize encoding of the images and videos that are processed (i.e. consumed) by the machines. Input to VCM is an image or video that comes straight from the camera or a storage device. In the case of FCVCM, the input to the standard will be feature stream that comes from the output of the layers of the neural network. Instead of encoding visual information such as videos and images, the FCVCM will encode features from the “middle” of neural network, while still producing bitstream that is in the end going to be consumed by the machines.

From the CfP’s introduction:

In 2019 MPEG started an investigation into the area of video coding for machines. The focus of this exploration was to study the case where images and videos are compressed not to be looked at and evaluated by humans, but rather by machine vision algorithms. These algorithms can serve different purposes such as object detection, instance segmentation, or object tracking. As video compression standards such as HEVC or VVC are developed and optimized towards the human visual system, the existing standards may not be optimal for applications where the video is analyzed by machines. One aspect is the compression of intermediate features seen in a neural network.

Regarding feature compression, a formal call for evidence was issued in July 2022 and provided evidence that this can be achieved in different ways. This call for proposals is the start of a process which has the creation of a new international standard as its goal.

This work on “Feature Compression for Video Coding for Machines” (FCVCM) aims at compressing features for machine tasks. As networks increase in complexity architectures such as ‘Collaborative Intelligence’ (whereby a network is distributed across an edge device and the cloud) become advantageous. With the rise of newer network architectures being deployed amongst a heterogenous population of edge devices, such architectures bring flexibility to systems implementers. As a consequence of such architectures, there is a need to efficiently compress intermediate feature information for transport over wide area networks (WANs). As feature information differs substantially from conventional image or video data, coding technologies and solutions could be different from conventional ones in order to achieve optimized performance for machine usage. With the rise of machine learning technologies and machine vision applications, the amount of video and images consumed by machines has been rapidly growing. Typical use cases include intelligent transportation, smart city, intelligent content management, etc., which incorporate machine vision tasks such as object detection, instance segmentation, and object tracking. Due to the large volume of video data, it is essential to extract and compress the features from video for efficient transmission and storage. Feature compression technology solicited in this CfP can also be helpful in some other regards, such as computational offloading and privacy protection. This call focuses on the compression of features and thus responses are expected to produce decoded features that will be used to complete execution of a pre-defined set of machine vision algorithm to generate the performance results.

This CfP welcomes submissions of proposals from companies and other organizations. Registration is required by the 3rd of July 2023; the submission of bitstream files, results, and decoder packages is required by the 13th of September 2023; and the submission of proponent documentation is due by the 9th of October 2023. Evaluation of the submissions in response to the CfP will be performed at the 144th MPEG meeting in October 2023.

OP Solutions plans to respond to the call with a joint proposal with Florida Atlantic University.

Video Coding for Machines

Video Coding for Machines (VCM) work continued with a main focus on refining core experiments, defining appropriate anchor (reference) and producing first output documents. Upon revision of the proposals in all Core Experiments (CEs), it was decided to merge some of the core experiments, resulting in 3 CEs as compared to 5 CEs before the meeting. The current CEs are :

CE 1 - Region-of-interest based coding methods,

CE 2 - Neural network based inner coding,

CE 3 - Spatial Resampling.

Work on the preliminary draft of the Technology-under-Consideration (TuC) document was initiated. This document will describe core technologies that are tested and are candidates to be adopted in the final standard.

Ad-hoc group (AhG) mandates were specified to guide the work before the next meeting and beyond – including:

-       Completion of output documents, including TuC.

-       Release VCM Reference Software v0.5.

-       Continue developing VCM technologies.

-       Continue collecting test and training materials.

-       Continue refining cross-check procedure.

Working Group for Video, which oversees the development of the VCM standard targets January 2024. as a date for release of the first Working Draft of the standard.

OP Solutions will continue participation in VCM jointly with Florida Atlantic University.

Some of the other developments

In the context of the WG2/Market Needs activity, in which the group is tasked to identify the MPEG standards and technologies applicable to Metaverse, potential use cases were collected, and matching MPEG technologies were identified. Use cases are collected following the template that includes the self-assessment of 7 characteristics linked to the idea of what the Metaverse is specific in: Real time aspects, 3D experiences, interactivity of user senses, user navigation, social aspects, persistence of events and representation of users and objects. Documented use cases include: Virtual dressing room, Online game enjoyed simultaneously on different immersive displays, Digital asset bank for online communities, Virtual museums, AR two-party call, Immersive Live Performances, B2B Digital twin systems in critical environments. Work on identifying additional use cases and development of the MPEG architectures to support current use cases will continue.

MPEG immersive video (MIV) conformance and reference software standard (ISO/IEC 23090-23) has been promoted to the Final draft international standard (FDIS) stage, the last formal milestone of its approval process. The document specifies how to conduct conformance tests and provides reference encoder and decoder software for ISO/IEC 23090-12 MPEG immersive video. This draft includes 23 verified and validated conformance bitstreams and encoding and decoding reference software based on version 15.1.1 of the Test model for MPEG immersive video (TMIV). The test model, objective metrics, and some other tools are publicly available at https://gitlab.com/mpeg-i-visual.

At this meeting, MPEG Systems (WG 3) reached the first milestone for ISO/IEC 23090-32 entitled “Carriage of haptics data” by promoting the text to Committee Draft (CD) status. This specification enables the storage and delivery of haptics data (defined by ISO/IEC 23090-31) in the ISO Base Media File Format (ISOBMFF; ISO/IEC 14496-12). Considering the nature of haptics data composed of spatial and temporal components, a data unit with various spatial or temporal data packets is used as a basic entity like an access unit of audio-visual media. Additionally, an explicit indication of a silent period considering the sparse nature of haptics data, has been introduced in this draft. The standard is planned to be completed, i.e., to reach the status of Final Draft International Standard (FDIS), by the end of 2024.

MPEG released a white paper titled “White paper on Geometry based Point Cloud Compression (G-PCC)”. This white paper is interesting from the aspect of describing technology that is potentially very useful in the automotive industry and other industries that use 3D modalities, sucj as LiDAR. Geometry-based Point Cloud Compression (G-PCC) provides a standard for coded representation of point cloud media. Point clouds may be created in various manners. Recently, 3D sensors such as Light Detection And Ranging (LiDAR) or Time of Flight (ToF) devices have been widely used to scan dynamic 3D scenes. To precisely describe 3D objects or real-world scenes, point clouds come with a large set of points in the 3D space with geometry information and attribute information. The geometry information represents the 3D coordinates of each point in the point cloud; the attribute information describes the characteristics (e.g., colour and reflectance) of each point. Point clouds require a large amount of data, bringing huge challenges to data storage and transmission. White paper is available at https://www.mpeg.org/whitepapers/ .

Finally, MPEG issued the roadmap for all the standards that reflects updates from the 142nd meeting, presented below.

The 143rd MPEG meeting will take place July 17-21 at CICG, in Geneva, Switzerland.