Phase 3 Implementation: Advanced Adaptive Streaming
• Built AdaptiveStreamProcessor that leverages existing VideoProcessor infrastructure
• AI-optimized bitrate ladder generation using content analysis with intelligent fallbacks
• Comprehensive HLS playlist generation with segmentation and live streaming support
• Complete DASH manifest generation with XML structure and live streaming capabilities
• Integrated seamlessly with Phase 1 (AI analysis) and Phase 2 (advanced codecs)
• Created 15 comprehensive tests covering all streaming functionality - all passing
• Built demonstration script showcasing adaptive streaming, custom bitrate ladders, and deployment
Key Features:
- Multi-bitrate adaptive streaming with HLS & DASH support
- AI-powered content analysis for optimized bitrate selection
- Live streaming capabilities with RTMP input support
- CDN-ready streaming packages with proper manifest generation
- Thumbnail track generation for video scrubbing
- Hardware acceleration support and codec-specific optimizations
- Production deployment considerations and integration guidance
Technical Architecture:
- BitrateLevel dataclass for streaming configuration
- StreamingPackage for complete adaptive stream management
- HLSGenerator & DASHGenerator for format-specific manifest creation
- Async/concurrent processing for optimal performance
- Graceful degradation when AI dependencies unavailable
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Core Features:
- 360° video detection via metadata, aspect ratio, and filename patterns
- Automatic projection type identification (equirectangular, cubemap, etc.)
- 360° thumbnail generation with multiple viewing angles (front, back, up, down, stereographic)
- 360° sprite sheet creation for immersive video players
- Enhanced metadata extraction with spherical video information
Configuration:
- Optional 360° settings in ProcessorConfig with validation
- Bitrate multipliers for 360° content (typically 2.5x for quality)
- Configurable thumbnail projections and generation options
- Graceful degradation when optional dependencies unavailable
Architecture:
- Modular design with optional dependency detection
- Video360Detection class for intelligent 360° identification
- Thumbnail360Generator for perspective and stereographic projections
- Video360Utils for bitrate/resolution recommendations
- Extended VideoProcessingResult with 360° outputs
Testing & Examples:
- Comprehensive test suite covering detection, configuration, and integration
- Working example demonstrating 360° processing workflow
- Proper error handling and dependency validation
Backward Compatibility:
- All existing functionality preserved
- 360° features completely optional and isolated
- Clear error messages when dependencies missing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
✨ Features:
- Multi-format encoding (MP4, WebM, OGV) with two-pass encoding
- Professional quality presets (Low, Medium, High, Ultra)
- Thumbnail generation and seekbar sprite creation
- Background processing with Procrastinate integration
- Type-safe configuration with Pydantic V2
- Modern Python tooling (uv, ruff, pytest)
- Comprehensive test suite and documentation
🛠️ Tech Stack:
- Python 3.11+ with full type hints
- FFmpeg integration via ffmpeg-python
- msprites2 fork for professional sprite generation
- Procrastinate for scalable background tasks
- Storage abstraction layer (local + future S3)
📚 Includes examples, API documentation, and development guides
🚀 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
