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Image and video review

Kanıt

Research area

Research into visual evidence for expert review. Connects event candidates to source footage, timestamps, surrounding context and reviewer decisions.

Explore the interface concept Application scope
Information foundation
Images or video and an event definition
Operational outcome
Time-linked event and evidence package
Human responsibility
Auditor acceptance, rejection or correction

Inside the application

Application workflow

Selected use cases, source information and operational outputs.

Reach the relevant moment

The aim is to find relevant intervals in long recordings and retain original timestamps.

KanıtScenario / 01
Interface conceptResearch / conceptual

Event interval

Source videoSchematic sequence
01
Before
02
Event candidate
03
After
Decision boundary

Auditor acceptance, rejection or correction

  • Images or video and an event definition
OutputTime-linked event and evidence package

Context beyond one frame

The source device, footage before and after the event, and the applied rule are collected together.

KanıtScenario / 02
Interface conceptResearch / conceptual

Evidence package

Relevant frameSource-linked
Time interval
Review context

Surrounding context

Review note

Source and interpretation remain separate.
Decision boundary

Auditor acceptance, rejection or correction

  • Images or video and an event definition
OutputTime-linked event and evidence package

Preserve decisions and corrections

Reviewers accept, reject or reclassify candidates.

KanıtScenario / 03
Interface conceptResearch / conceptual

Review trail

Traceable record
  1. 1
    Initial detectionSource and scope
  2. 2
    User decisionProcessing context
  3. 3
    CorrectionReview point
  4. 4
    Source linkageNext operation
The original record and subsequent decision stay separate.
Decision boundary

Auditor acceptance, rejection or correction

  • Images or video and an event definition
OutputTime-linked event and evidence package

Application approach

Scope and operating approach.

The scope, operating approach and boundaries of this work.

01

Reach the relevant moment

The aim is to find relevant intervals in long recordings and retain original timestamps. Candidate events support reviewer preparation.

02

Context beyond one frame

The source device, footage before and after the event, and the applied rule are collected together. Findings can be reviewed in context.

03

Preserve decisions and corrections

Reviewers accept, reject or reclassify candidates. Model suggestions and human decisions are stored separately. This is a shared visual-audit research approach.

Research scope: application behavior and business outcomes require pilot validation.

In everyday work

Reviewing an event in context

Finding a moment in a long video and deciding what it means are different tasks. Kanıt explores preparing event candidates with original footage and surrounding time context.

Kanıt / Working modelIllustrative use · no real customer data
KanıtInterface design concept
Image and video review

Reviewing an event in context

Fictional sample data
01Media record
Images or video and an event definition
SourceSample video record
Time window00:12–00:20
ReviewAccept / reject / correct
02Event segment
00:12Before
00:16Candidate
00:20After
Time window00:12–00:20
Original sourceImages or video and an event definition

A time-window diagram, not real camera footage.

03Reviewer decision
Illustrative review state

Auditor acceptance, rejection or correction

Reviewers examine what happened before and after. An interpretation from one frame is not presented as a definitive account of the whole event.

OutputTime-linked event and evidence package
Use the numbered areas to read component explanations. This is a product design concept; available scope follows the development status above.
Media record

Reach the relevant moment

This component shows incoming information together with its identity and provenance. Relevant segments are investigated against an event definition. The source device and original timestamp remain with the footage.

Event segment

Context beyond one frame

This component explains how records are reviewed rather than displaying a result in isolation. Reviewers examine what happened before and after. An interpretation from one frame is not presented as a definitive account of the whole event.

Reviewer decision

Preserve decisions and corrections

This component distinguishes the user’s decision from the next work record. Acceptance, rejection and reclassification are recorded separately from the model suggestion. Evidence packages preserve the basis for human judgment; this remains research.

The whole operation

Information, decisions and outcomes stay connected.

These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.

Starting information
Images or video and an event definition
Human decision
Auditor acceptance, rejection or correction
Resulting structure
Time-linked event and evidence package

How do we assess its impact?

These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.

  • Access to relevant footage
  • False-candidate review
  • Decision-to-source linkage

Related work

Related applications.

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