Media

Best practices for resilient media feature extraction pipelines; ensuring stable representation schemas, choosing between streaming and batch modes, enforcing metadata preservation, and performance engineering.

A robust Java-based tool engineered for seamlessly organizing and migrating extensive photo collections; featuring rigorous deduplication, automatic metadata preservation, and resumable execution.

An exploration of multimodal video feature extraction comparing Apple-native frameworks (Vision, AVFoundation, Core Image) against cross-platform C++/Python toolchains (OpenCV, pybind11) for ML prep.

An inherently scalable video ingestion and transcoding system architecture; asynchronously chunking heavy media, extracting actionable features, and steadily outputting adaptive bitrates via worker pools.