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(pdf)
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[FS_AIF_MED] HDR Images |
Apple Inc. |
Change Request Summary: HDR Images Support for FS_AIF_MED
Document Information
- CR Number: S4-260264
- Specification: 26.9xx (version xx.x.x)
- Work Item: FS_AIF_MED
- Category: B (addition of feature)
- Release: Rel-20
- Source: Apple Inc.
Overview
This Change Request proposes the addition of High Dynamic Range (HDR) imaging support to the AI for Media feasibility study. The CR introduces a new scenario for HDR images with supporting references and framework for evaluation.
Main Technical Contributions
Section 2: References
The CR adds seven new normative/informative references to support HDR imaging:
- Platform-specific HDR implementations:
- Apple developer documentation on HDR image support [1]
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Android Ultra HDR Image Format documentation [2]
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ISO/IEC standards:
- ISO/IEC 23008-12: Image File Format for high efficiency coding [3]
- ISO 22028-5: Extended colour encodings for HDR/WCG still images [6]
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ISO 21496-1: Gain map metadata for dynamic range conversion [7]
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3GPP and GSMA specifications:
- 3GPP TS 26.143: Messaging Media profiles [4]
- GSMA RCC.71: RCS Universal Profile Service Definition [5]
Section 5.x: New Scenario for HDR Images
5.x.1 Overview
- Defines HDR imaging as capturing greater range of light and dark tones compared to standard photography
- Highlights improved contrast and color on compatible displays
- References existing ecosystem implementations on major device platforms
- Emphasizes capability for modern devices to capture and share realistic images
5.x.2 Review of Previous Work
- Identifies existing standardization support in ISO/IEC 23008-12 [3]
- Lists relevant HDR imaging standards:
- ISO 22028-5 for HDR stills with extended colour encodings
- ISO 21496-1 for HDR gain maps
- Notes 3GPP SA4 support in messaging applications (TS 26.143)
- References GSMA RCS support for HDR feature
5.x.3 Evaluation Criteria and Metrics
- Status: To be completed (Editor's Note)
5.x.4 Evaluation Methodology
- Status: Framework established but content to be completed
- Two subsections defined:
- 5.x.4.1: Objective performance evaluation (TBC)
- 5.x.4.2: Subjective performance evaluation (TBC)
Key Technical Points
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Standards Alignment: The proposal builds upon existing ISO/IEC and 3GPP work, ensuring compatibility with established HDR imaging standards
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Ecosystem Support: References both major mobile platforms (iOS and Android) demonstrating industry readiness
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Messaging Integration: Leverages existing 3GPP TS 26.143 and GSMA RCS specifications for messaging applications
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Evaluation Framework: Establishes placeholder structure for both objective and subjective evaluation methodologies (content pending)
Status
This is an initial framework CR with several sections marked for future completion, particularly the evaluation criteria and methodology sections.
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Based on my review of the provided 3GPP document, there are no proposals present in this document.
The document appears to be a Change Request form (CR-Form) for a study on HDR Images under the FS_AIF_MED work item. While it contains technical content describing HDR imaging scenarios, references, and placeholder sections for evaluation criteria and methodology, it does not contain any explicitly marked proposals in any of the formats mentioned (numbered or unnumbered, with colons, periods, hyphens, etc.).
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(pdf)
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[FS_AIF_MED] Live Images |
Apple Inc. |
3GPP Technical Document Summary: Live Images Feature
Document Information
- Meeting: SA4 #135, India, 9-13 Feb 2026
- Document Number: S4-260265
- Work Item: FS_AIF_MED
- Release: Rel-20
- Category: B (addition of feature)
- Source: Apple Inc.
Main Technical Contribution
This change request proposes the addition of a new scenario to the FS_AIF_MED study item covering Live Images functionality.
Scenario #xy: Live Images
Overview (Clause 5.x.1)
The document introduces Live Images as a feature that combines:
- A standard photograph
- A short video component capturing movement
Key Characteristics:
- Records moments in the immediate vicinity of the shutter press
- Implemented across various consumer product ecosystems
- References existing implementations from major platforms (Apple's Live Photos and Android's Motion Photos)
Previous Work (Clause 5.x.2)
The contribution notes that:
- Similar features in commercial products are already supported by the Image Sequence feature specified in ISO/IEC 23008-12 [3]
- This provides a foundation for standardization work
Evaluation Framework (Clauses 5.x.3 and 5.x.4)
The document establishes placeholders for:
- Evaluation criteria and metrics (5.x.3) - marked as Editor's Note
- Evaluation methodology (5.x.4) - marked as Editor's Note
- Objective performance evaluation (5.x.4.1)
- Subjective performance evaluation (5.x.4.2)
References Added
The CR adds three normative/informative references:
1. Apple Inc. developer documentation on Live Photos
2. Android Developers documentation on Motion Photo format
3. ISO/IEC 23008-12 (Image File Format specification)
Status
This appears to be an initial text proposal establishing the framework for Live Images evaluation within the FS_AIF_MED study. The evaluation sections are incomplete and marked for future development.
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Proposal 1: Capture the use case of live images in TR 26.927.
Proposal 2: Capture the Image Sequence feature specified in ISO/IEC 23008-12 as a relevant specification for live images in TR 26.927.
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(pdf)
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[FS_AIF_MED] Stereo images |
Apple Inc. |
Summary of 3GPP Technical Document S4-260266
Document Metadata
- Meeting: SA4 #135, India, 9-13 February 2026
- Source: Apple Inc.
- Work Item: FS_AIF_MED (Feasibility Study on AI for Media)
- CR Category: B (addition of feature)
- Release: Rel-20
- Title: Stereo Images
Main Technical Contributions
New Scenario Addition: Stereoscopic Images (Section 5.x)
This CR proposes adding a new scenario to the FS_AIF_MED study focusing on the usage of stereoscopic images.
Overview (5.x.1)
The contribution introduces the use case for immersive stereoscopic image formats:
- Capture Technology: Modern systems use dual capture configurations mimicking human binocular vision with natural eye separation
- Playback: Stereoscopic images are processed for HMDs where unique images are rendered per eye to create depth perception
- Projection Standards: Commercial devices support mapping high-resolution captures to VR180 and VR360 formats
- User Experience: Provides presence and immersion beyond traditional photography, with viewing platforms handling critical adjustments for optimal experience
Review of Previous Work (5.x.2)
The contribution references existing technologies and specifications:
- Storage Format: High Efficiency Image File Format (HEIF) combines stereo pairs with essential metadata [ISO/IEC 23008-12:2025]
- Compression: Multiview HEVC (MV-HEVC) employs inter-view prediction to reduce bandwidth by avoiding storage of two full redundant streams [ISO/IEC 23008-2:2025]
- 3GPP Precedent: TS 26.265 already specifies usage of these tools for stereoscopic video
Evaluation Framework (5.x.3 and 5.x.4)
The contribution includes placeholder sections for:
- Evaluation criteria and metrics
- Evaluation methodology (both objective and subjective performance evaluation)
These sections are marked with Editor's Notes indicating they are to be completed in future revisions.
References Added
The CR adds six normative/informative references:
1. Canon RF5.2mm F2.8 L Dual Fisheye documentation
2. Meta Quest immersive media formats documentation
3. Apple spatial photos and videos documentation
4. ISO/IEC 23008-12:2025 (HEIF)
5. ISO/IEC 23008-2:2025 (HEVC)
6. 3GPP TS 26.265 (Video Capabilities and Operation Points)
Document Status
This appears to be an initial text proposal establishing the framework for studying stereoscopic images within the AI for Media feasibility study. The evaluation sections are placeholders awaiting further development and agreement.
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Proposal 1: Capture the use case of stereoscopic images in clause 5.x.
Proposal 2: Capture the review of previous work in clause 5.x.2.
Proposal 3: Add normative references [4], [5], and [6] to clause 2.
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(pdf)
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[FS_AIF_MED] TR skeleton |
Apple Inc. |
Summary of S4-260267: TR Skeleton for FS_AIF_MED
Document Overview
This document presents a Technical Report (TR) skeleton for the Feasibility Study on AI/ML for Media (FS_AIF_MED). The contribution is submitted by Apple Inc. to SA4 Meeting #135 (India, 9-13 February 2026).
Main Technical Contribution
TR Structure Proposal
The document proposes a skeleton structure for the Technical Report that will capture the outcomes of the feasibility study on Artificial Intelligence and Machine Learning applications for media services. The TR skeleton serves as the foundational framework that will organize and document the study's findings, use cases, requirements, and conclusions.
Proposal
The source requests SA4 to:
- Agree to the TR skeleton as the basis for documenting the FS_AIF_MED study outcomes
Notes
- The actual TR skeleton content is referenced as an attachment to this cover document
- This is a procedural contribution establishing the documentation framework for the feasibility study
- The skeleton will guide subsequent contributions and discussions within the FS_AIF_MED work item
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Proposal: It is proposed to agree to the TR skeleton.
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(pdf)
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[FS_AIF_MED] Draft Work Plan study on image formats |
Apple Inc. |
No summary available
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No proposals available
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(pdf)
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[FS_AIF_MED] HDR Images |
Apple Inc. Qualcomm Incorporated |
No summary available
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No proposals available
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(pdf)
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[FS_AIF_MED] Live Images |
Apple Inc. Qualcomm Incorporated, Xiaomi |
No summary available
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No proposals available
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(pdf)
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[FS_AIF_MED] Stereo images |
Apple Inc. |
No summary available
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No proposals available
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(pdf)
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[FS_AIF_MED] Draft Work Plan study on image formats |
Apple Inc. |
No summary available
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No proposals available
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