Architect: Muhammad Ali
Position: Independent Researcher / CNC Systems Designer
Location: Rawalpindi, Pakistan
This paper proposes a paradigm shift in digital media. Current standards like
VectorVision replaces legacy raster formats with pure geometry-based protocols:
-
.svgc(Scalable Vector Geometric Camera): Replaces$.jpg$ ,$.png$ , and$.bmp$ . It captures reality as a single-frame mathematical coordinate map. -
.svgv(Scalable Vector Global Video): Replaces$.mp4$ ,$.mkv$ , and$.avi$ . It handles motion as a high-speed stream of geometric paths.
To prevent the loss of fine detail common in standard vectorization, the Fidelity Lock identifies "High-Frequency Interest Zones" (e.g., facial features in K-Dramas).
- Bilateral Pre-Filtering: Eliminates sensor grain at the source.
- Coordinate Precision: Pins high-mathematical precision to facial features while simplifying background paths.
Drawing from professional CNC systems like Vectric Aspire, the engine treats every frame as a series of G-code-style toolpaths.
- Parallel Scanline Vectorization: A C++/NDK engine optimized for budget mobile hardware (2GB-4GB RAM).
- Heterogeneous Computing: Utilizing the GPU for Bézier path generation and the NPU for saliency detection.
- Data Equality: High-definition content becomes accessible on slow 2G/3G networks in developing regions.
- Future-Proofing: A file captured today will render in native 16K or 32K on the displays of the future without upscaling artifacts.
- Searchable Vision: Because the video is stored as math, objects within the file are inherently searchable without heavy AI processing.
Dedicated to the global developer community. No more pixels—only pure geometry.