Purpose
The Visual Bandwidth Codex defines the capacity, fidelity, compression, and delivery standards for all visual data across systems—biological, digital, and hybrid. It quantifies and governs how much visual information can be effectively transmitted, received, rendered, and perceived per unit of time, space, and attention, ensuring optimal flow and clarity in both machine and human vision systems.
This codex is essential for media streaming, XR environments, neural imaging, data visualization, and biofeedback-driven interfaces.
Core Components
1. Visual Data Quantization Layer (VDQL)
Establishes quantifiable metrics for:
- Pixels per second (PPS)
- Pixels per degree (PPD) — spatial acuity metric
- Color Depth per Frame (CDF) — e.g., 8-bit, 10-bit, 12-bit HDR
- Field of Vision Occupancy (FOVO) — how much of visual field is used
Allows dynamic scaling of visual fidelity according to task relevance, focus zone, or available bandwidth.
2. Visual Compression & Fidelity Framework (VCFF)
Defines rules for:
- Lossless/lossy trade-offs
- Perceptual compression heuristics (e.g., JPEG, HEVC, AV1, neural compression)
- Foveated rendering — prioritized fidelity at gaze center
- Symbolic compression — when visual data is represented by higher-order concepts or glyphs (connected to Logos & Symbol Codices)
3. Real-Time Bandwidth Allocation Engine (RBAE)
Dynamically adjusts:
- Resolution and framerate (via Framerate Codex)
- Compression ratio (in concert with Bitstream Codex)
- Scene complexity prioritization (based on attention maps or semantic layers)
Informed by:
- User intent or task priority
- System constraints (e.g., mobile, satellite, optic fiber)
- Neural load or fatigue detection (via Biofeedback Codex)
4. Perceptual Saturation Monitor (PSM)
Prevents visual overload by:
- Detecting excess cognitive input via BCI
- Adjusting contrast, brightness, visual clutter dynamically
- Using predictive models to anticipate perceptual limits
Incorporates signal entropy calculations, oculomotor patterns, and blink rate analysis.
5. Visual Throughput Standardization Matrix (VTSM)
Links frame complexity, motion, resolution, and depth data into:
- Unified visual throughput score
- Compatibility mappings with hardware standards (HDMI, DisplayPort, VR gear)
- Energy-per-bit visual cost model — important for sustainable rendering (aligned with ESG and environmental codices)
Applications
- AR/VR/XR rendering optimization
- Remote surgical and robotic vision systems
- Satellite-to-ground imagery compression and delivery
- Real-time visual AI feedback systems
- Digital signage with cognitive attention tracking
Interoperability with Other Codices
- Bitstream Codex: Manages data encoding and packetization under bandwidth constraints.
- Framerate Codex: Adjusts visual data per frame based on throughput.
- Neural Harmonics Codex: Ensures visuals synchronize with brain oscillatory activity.
- Biofeedback Interface Codex: Modulates rendering and data delivery based on physiological signals.
- Cognitive Codex: Guides what level of visual detail is cognitively useful at a given moment.
- Signal Codex: Manages visual signal transmission channels across network layers.
- Graph & Geometry Codices: Determine spatial organization of visual data and relational mapping.