Computational Image Analysis - AQC0563
Citable Claim
Computational image analysis [6] of artwork « Gus », the shih tzu (AQC0563) [1] by Arnaud Quercy [2] using k-means clustering method with 10 color extraction parameters. Analysis includes color distribution, texture metrics, brightness/contrast measurements, and spatial pattern characterization. Analysis completed on 2025-12-09.
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]: 1152x2048 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 | 20240310-0059 |
|---|---|
| Image Resolution | 1152x2048 |
| File Size | 0.37 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/gus-the-shih-tzu-ceramic-by-arnaud-quercy-aqc0563-6b0.webp |
Document Metadata
| Version | v1 |
|---|---|
| MMI URN | urn:mmi:np:AQC0563:IMG:v1 |
| Published | 2025-12-09 |
| Artwork Reference | AQC0563 |
| Collection | Untamed Creations |
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) | 200bc6c94bddbbdf623e2dd66c6c95c409849aae9c077895984322d91f417c34 |
Canonical Reference
Persistent URI: