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Image / Graphic

vr.wm-med-005 · wm-med-005-image-graphic

Still visual asset and technical/provenance metadata

World Models Information and virtual systems INF.MED.IMG
Bundle → Layer → Finding → QuestionsClassifiersWhat it isWhy it existsDistinguishing featuresWhat robots and AI may and may not doMoral aspectsOwnersLinks to other meta-modelsIdentity and identifiersDirect propertiesRecognitionCapabilities and actionsHazards and failure modesStandards and interfacesContext of useSources

Bundle → Layer → Finding → Questions Filled

3 bundles · 4 layers · 5 findings · 11 questions

Asset and renditions Which image this is and in which forms it exists.

Master and derivatives

The master file and the renditions derived from it.

Master file

The original or highest-quality file with its format and dimensions.

  1. Which file is the master, and in which format and pixel dimensions or vector form?
  2. Which colour space and bit depth does the master use?

Derived rendition

A resized, cropped or converted version and its link to the master.

  1. From which master and by which transformation was this rendition made?
  2. Has the rendition been edited in ways that change what it shows?
Provenance and rights Where the image comes from and how it may be used.

Origin and authorship

Capture or creation, creator and edit history.

Capture record

When, where and with what the image was captured or created.

  1. Who created the image, and when and where was it captured or made?
  2. Is a signed provenance manifest attached, and does it verify?
  3. Was the image generated or substantially altered by an AI system?

Licence and consent

Rights, licence and consent of depicted people.

Usage terms

The licence, credit line and any model or property release.

  1. Under which licence may the image be used, and what credit is required?
  2. Are identifiable people depicted, and is there consent or a release for this use?
Description and access How the image is described for search and accessibility.

Descriptive metadata

Caption, keywords and text alternative.

Accessible description

A caption and text alternative that describe the content.

  1. Does the image have a caption and a text alternative for screen readers?
  2. Are keywords and subject terms drawn from a controlled vocabulary?

Classifiers Filled

Family
World Models
Category
Information and virtual systems
Entry kind
standalone-mm
Navigation path
NAV.INF.MED.IMG
Domain
INF.MED.IMG
Industry
Cross-industry
Tags
imagegraphicinf.med.img

What it is Filled

An image or graphic is a still visual asset, such as a photograph, illustration, diagram or icon, held as a raster or vector file together with its technical and provenance metadata. The class covers one still asset and its renditions; moving images, 3D scenes and the creative work as a legal object are described in their own models.

Why it exists Filled

Still visual asset and technical/provenance metadata

Distinguishing features Filled

  • It is a single still visual asset with renditions, not a video, audio recording or 3D scene.
  • Technical metadata such as dimensions, colour space and format is part of the asset record.
  • Provenance and edit history matter because images are easily altered or generated.
  • It differs from the creative work as a rights object, which may have many images as expressions.

What robots and AI may and may not do Filled

Must not

  • Strip creator, licence or provenance metadata from an image.
  • Present a generated or altered image as an unaltered photograph.
  • Use an image beyond its licence or without required credit.
  • Identify people in images by facial recognition without a lawful basis and consent where required.

Only with a human decision

  • Publishing images of identifiable people without a recorded release.
  • Approving edits that change what a news or evidential image shows.
  • Licensing images to third parties.

May

  • Read and write technical, descriptive and rights metadata in standard fields.
  • Create renditions such as thumbnails while keeping the link to the master.
  • Verify provenance manifests and report the result.
  • Write text alternatives that describe image content.

Moral aspects Filled

  • Images of people affect their privacy and dignity, especially of children and people in vulnerable situations.
  • Manipulated or generated images can mislead the public and damage reputations.
  • Creators depend on credit and licence terms being respected.

Who is affected

  • People depicted in images
  • Photographers, illustrators and other creators
  • Audiences who rely on images as evidence

Owners Filled

Steward

The rights holder or the organization that commissioned or licensed the image, usually managed by a digital asset librarian.

Master systems

  • Digital asset management systems
  • Stock and picture libraries
  • Museum and archive collection systems

Links to other meta-models Filled

parent

  • WM-MED-002

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • An image is identified by an asset identifier in its managing system, and often by a content hash of the master file.
  • Published images may carry persistent identifiers such as DOIs and identifiers in embedded IPTC or XMP metadata.

Direct properties not applicable Not applicable

Not applicable

An image or graphic is a digital asset; its pixel dimensions, colour space and format are technical metadata recorded in the structure, not physical measurements.

Recognition optional Filled

  • An image is recognized by its file format, dimensions and embedded metadata.
  • Often confused with a frame from a video, with a document page scan or with the work it depicts.

Capabilities and actions required Filled

  • Can be rendered in different sizes and formats from a master.
  • Can carry embedded metadata and signed provenance across platforms.
  • Can be searched by description, keywords and visual similarity.

Hazards and failure modes required Filled

  • Misinformation through manipulated or out-of-context images.
  • Privacy harm from publishing images of identifiable people.
  • Copyright infringement when licence terms are lost or ignored.

Standards and interfaces required Filled

  • Exif for capture metadata and IPTC Photo Metadata in XMP for descriptive and rights fields.
  • C2PA content credentials for signed provenance.
  • IIIF Image API for delivering images from collections.

Context of use required Filled

  • Used in news, publishing, marketing, science, heritage collections and evidence.
  • Generated or manipulated images may carry labelling duties under AI and media law.

Sources Filled

  1. IPTC Photo Metadata Standard, International Press Telecommunications Council
  2. Exchangeable image file format (Exif), CIPA and JEITA
  3. C2PA Technical Specification, Coalition for Content Provenance and Authenticity

Open questions

  • Planned model: boundary questions, research and every section remain to be written.

Machine files

Card as JSON Specification AGENTS.md Card backlog vercy.card/1

Provenance

planned (registry candidate) · todo

Built from: models/runtime-index.json, ver-cy/world-models/card-supplements/wm-med-005-image-graphic.json

Planned entry, hidden from the catalogue until researched.