Computational Image Analysis - AQC0572
Citable Claim
The artwork A Cat - Naive cubism research (AQC0572) [1] by Arnaud Quercy [2] underwent comprehensive computational analysis [6] on 2025-12-09. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.
Research Context
Analysis performed according to MMIDS-CMP-2025 [6] includes four metric categories: (1) Color distribution via k-means (10 colors), (2) Texture analysis using Haralick features, (3) Brightness and contrast measurements, (4) Spatial pattern characterization. Source image [5]: 2686x4029 pixels. Analysis date: 2025-12-09.
Methodology
This analysis employs standardized computational methods [6] for objective image characterization. Color extraction uses k-means clustering algorithm. Texture analysis applies Haralick feature extraction. Brightness metrics include mean, variance, and distribution analysis. Spatial patterns are characterized through coherence and clustering measurements. All methods are deterministic and reproducible. Analysis performed by Multimodal Institute's computational imaging systems.
Document Provenance
Image Metadata
| Certificate ID | 20240428-0068 |
|---|---|
| Image Resolution | 2686x4029 |
| File Size | 5.09 MB |
| Image Format | WebP (primary), JPEG (archival) |
Deployment Information
| Deployed Domain | multimodal.institute |
|---|---|
| Deployment Date | 2025/09 |
| Web URL | https://multimodal.institute/media/2025/09/a-cat-naive-cubism-research-ceramic-by-arnaud-quercy-aqc0572-6ei.webp |
Document Metadata
| Version | v1 |
|---|---|
| MMI URN | urn:mmi:np:AQC0572:IMG:v1 |
| Published | 2025-12-09 |
| Artwork Reference | AQC0572 |
| Collection | Nature in the city |
Physical Specifications
Epistemic Metadata
| Claim Type | computational_analysis |
|---|---|
| Epistemic Status | empirical_measurement |
| Evidence Level | quantitative_data |
| Certainty Level | high |
| Methodology | computational_analysis |
| Voice | third_person |
| Institute Program | Digital Asset Documentation |
Legal & Verification
| License | CC BY-NC 4.0 |
|---|---|
| Checksum (SHA-256) | da0876158b2ed282ab8e14ac56340b568d1a05bb6e4c0fc8082d8d7fe7e4c37c |
Canonical Reference
Persistent URI: