Awesome Video is a curated resource catalog for streaming video technologies, maintained as structured JSON (contents.json) and rendered into both a README and a static documentation site (MkDocs Material) deployed to awesome.video. The catalog spans ~50 hierarchical categories covering HLS, DASH, FFmpeg, codecs (HEVC/VP9/AV1), transport protocols (RIST/SRT/RTMP), players, DRM, QoE, testing, CDN, HDR, subtitles, and learning resources. It is not a runtime application — it is a content curation pipeline: contents.json is the source of truth, convert.rb generates the README, database.json feeds the site's lunr search index, and loader.py imports bookmarks from Raindrop.io. The repo is hybrid in nature: primarily a curated data catalog with a static-site build system around it, rather than a software application or research pipeline. The build pipeline (GitHub Actions) validates the JSON against schema.json, checks external links with awesome_bot, and deploys to GitHub Pages. The curation quality is strong — entries include authoritative references (Netflix TechBlog, DASH-IF specs, Apple WWDC sessions, Xiph test media) — but the supporting code is simple utility scripting with notable weaknesses: hardcoded Raindrop.io credentials in loader.py, inconsistent category identifiers and malformed tag entries in the data, and aging CI dependencies (Python 3.7, jinja2 3.0.3). The repo is actively maintained and the data model (hierarchical categories + multi-tagged project records) is a clean, portable schema for any awesome-list-style content site.
This is an Android demo application for real-time audio/video talkback (intercom) communication. It implements a full pipeline: audio/video capture, echo cancellation (multiple AEC algorithms: Speex, WebRTC AEC/AECM/AEC3, custom triple AEC), noise suppression (Speex, WebRTC NS/NSX, RNNoise), encoding (Speex, Opus, OpenH264, system H.264), network transport (TCP, UDP, AUDP), jitter buffering (adaptive), decoding, and playback. The architecture consists of a foreground service, a main activity with extensive settings UI, and background media processing threads (MediaPocsThrd, ClntMediaPocsThrd, SrvrThrd) that use user-defined callbacks for extensibility. The app is heavily configurable with presets for effect levels and AEC tendencies. It relies on pre-compiled native libraries (JNI) for signal processing and codecs. The codebase is tightly coupled to the demo app and uses deprecated Android Camera API, but demonstrates non-obvious skill in integrating multiple audio processing libraries and adaptive jitter buffer algorithms.