elara-visual 0.2.0

ELARA Protocol - Visual processing with keyframe encoding, prediction, and degradation
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# elara-visual

Visual processing engine for the ELARA Protocol - featuring keyframe encoding, predictive algorithms, and graceful degradation for real-time video communication.

## Features

- **Keyframe Encoding**: Efficient video state representation
- **Predictive Algorithms**: Temporal and spatial prediction
- **Graceful Degradation**: Quality reduction under network stress
- **Face State Processing**: Emotion and expression tracking
- **Pose Prediction**: Body movement prediction and interpolation
- **Scene Reduction**: Automatic detail level adjustment

## Quick Start

```rust
use elara_visual::{VisualEncoder, VisualPredictor, VisualState};
use elara_core::StateId;

// Create visual encoder
let mut encoder = VisualEncoder::new(config);

// Create predictor
let mut predictor = VisualPredictor::new(prediction_config);

// Encode visual frame
let visual_state = encoder.encode_frame(frame_data)?;

// Predict next state
let predicted = predictor.predict(&current_state, &history)?;
```

## Visual State Model

### Keyframe Structure
```rust
pub struct VisualState {
    pub face: FaceState,        // Facial expressions and emotions
    pub pose: PoseState,        // Body position and movement
    pub scene: SceneState,      // Environmental context
    pub timestamp: StateTime,   // Temporal reference
}
```

### Degradation Levels
```
Full Quality → Reduced Quality → Symbolic → Presence Only
     ↓              ↓              ↓           ↓
  Complete      Essential     Minimal     Existence
  Detail        Features      Info        Proof
```

## Encoding Process

```rust
// High quality encoding
let high_quality = encoder.encode_with_quality(frame, Quality::High)?;

// Adaptive encoding based on network
let adaptive = encoder.encode_adaptive(frame, network_quality)?;

// Symbolic encoding for minimal bandwidth
let symbolic = encoder.encode_symbolic(frame)?;
```

## Prediction Algorithms

### Face Prediction
- Emotion vector interpolation
- Viseme generation from phonemes
- Eye movement prediction

### Pose Prediction
- Joint position interpolation
- Movement trajectory prediction
- Constraint-based correction

### Scene Prediction
- Background stability detection
- Lighting change prediction
- Object persistence tracking

## Network Adaptation

```rust
// Update based on network conditions
encoder.adapt_to_network(network_quality);

// Manual quality setting
encoder.set_quality_level(QualityLevel::Medium);

// Automatic degradation
encoder.enable_auto_degradation(true);
```

## License

Licensed under either of:

- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)

at your option.

## Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.