Let Claude (or any LLM) actually watch a video — scene-aware, deduplicated frames + transcript, from a URL or local file. Runs locally, MIT.
Generalized Keyframe Extraction for VideoQA and Video-Guided Agentic Tasks. Accepted by ECCV 2026.
Adaptive video frame extraction for SfM, Gaussian Splatting, and photogrammetry.
MCP server for video intelligence — analyze any video with AI vision. Extract keyframes, transcripts, and trading strategies from YouTube, Instagram & 1000+ sites.
Local-first MCP server for video: download any video from almost any URL, or get a transcript plus scene-aware deduplicated keyframes. YouTube, TikTok, Instagram, X, WeChat Channels, MP4/HLS. No cloud, no API keys.
Fit a video into a token budget for multimodal LLMs. Picks the frames that carry the most information instead of sampling on a timer.
Turn videos into chapters, keyframes, subtitles, and structured data.
智能视频镜头分析工具：场景切分、关键帧提取、导演向运镜/构图/动作分析，支持成片/线稿双模式。
An end-to-end video summarization pipeline implementing and evaluating Compact BiLSTM and Interpretable Transformer architectures for keyframe selection. Features frozen MobileNetV3 feature extraction, custom Top-K duration budget policies, and performance benchmarking on the TVSum and SumMe datasets.
A unified pipeline for video frame reconstruction combining classical CV (HSV keyframes + Farneback optical flow) with deep-learning interpolation via RIFE v4.25 for high-quality, perceptually consistent frames.
Sanitized HCMAIC 2026 E2E statistics, artifact hashes, execution status, and keyframe coverage research brief
Cinematic Scene Change Detector is a Streamlit + OpenCV tool for detecting video scene cuts using histogram comparison and frame differencing, with real-time threshold tuning and keyframe extraction.
A lightweight, opinionated keyframe extraction pipeline for short-form videos using scene detection and semantic similarity.
Overview of a multimodal video summarization pipeline for information-dense content developed during a contract project at webAI (Open Project - UC Berkeley).
Turn any video into a timestamped transcript + labelled keyframe contact sheets so Claude, ChatGPT or Cursor can actually understand it. YouTube, TikTok, Facebook, Instagram or local files. Python, yt-dlp, faster-whisper, ffmpeg.
Media analysis pipeline for AI agents — scene-change keyframes and timestamped transcripts from video files
Facial Emotion Recognition from sequential images using ML techniques (thesis) / Αναγνώριση συναισθηματικής κατάστασης προσώπου από ακολουθιακές εικόνες με χρήση τεχνικών μηχανικής μάθησης
🎥 Summarize information-dense videos efficiently, helping users grasp key points quickly without watching the entire content.
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