Results for “video-clipping”

Turn a long video into viral-ready short clips with a single API call, including transcription, highlight ranking, and auto-crop.

Video repurposing pipeline for multi-platform clip extraction. Use when the user requests to 'extract clips', 'repurpose video', 'create clips from video', or 'clip video for social'.

YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video

YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video

Edits real video footage through a structured pipeline: transcribe and plan with an AI agent, cut with FFmpeg, compose with Remotion, generate voiceover and music via ElevenLabs and fal.ai, then polish in Descript or CapCut.

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.

Selects candidate clips from analysis artifacts, applies brief-based must-have and must-avoid rules, and writes a selects_candidates.yaml plan.

Extract frames or short clips from videos using ffmpeg.

Extract frames or short clips from videos using ffmpeg.

Extract frames or short clips from videos using ffmpeg.

Edit real video footage using a pipeline of FFmpeg, Remotion, ElevenLabs, fal.ai, and traditional editors for cutting, structuring, and augmenting raw captures.

Enables zero-shot image classification, image-text matching, and cross-modal retrieval using OpenAI's CLIP model.

Capture frames or clips from RTSP/ONVIF cameras.

Demystifying CLIP Data

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Scrapes YouTube channel or video metadata via the YouTube Data API, downloads transcripts with yt-dlp, chunks them for search, and upserts results into a database.

Draft a scene-by-scene video script with timing, visual direction, narration, and source attribution from upstream creator-media artifacts

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Capture frames or clips from RTSP/ONVIF cameras.

Capture snapshots, clips, or motion events from RTSP/ONVIF cameras using the camsnap CLI.

Capture frames or clips from RTSP/ONVIF cameras.

AI辅助的视频编辑工作流程，用于剪辑、构建和增强实拍素材。涵盖从原始拍摄到FFmpeg、Remotion、ElevenLabs、fal.ai，再到Descript或CapCut最终润色的完整流程。适用于用户想要编辑视频、剪辑素材、制作vlog或构建视频内容的情况。

OpenCLIP: An Open Source Implementation of CLIP

Script a short-form vertical video with a 2-second hook, tight pacing, and on-screen text cues.

This skill provides guidance for video analysis and processing tasks using computer vision techniques. It should be used when analyzing video frames, detecting motion or events, tracking objects, extracting temporal data (e.g., identifying specific frames like takeoff/landing moments), or performing frame-by-frame processing with OpenCV or similar libraries.

Extract single frames or short clips from videos using ffmpeg.

Capture frames or clips from RTSP/ONVIF cameras.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Summarize recorded video clips using the LVS microservice with a VLM fallback, producing a narrative summary with timestamped events.

Escreve roteiros de vídeo e VSL com gancho, abertura, desenvolvimento, prova, CTA e fechamento, incluindo marcação de tempo e indicação visual.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Capture frames or clips from RTSP/ONVIF cameras.