> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v25.09/curate-video/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. # Curate Video ## Docs - [Video Curation Tutorials](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials.md): Collection of tutorials for video curation workflows including beginner guides and advanced pipeline customization techniques - [Create a Video Pipeline](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/beginner.md): Beginner-friendly tutorial for running your first Ray-based video splitting pipeline using the Python example - [Split and Remove Duplicates Workflow](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/split-dedup.md): End-to-end workflow tutorial covering the video curation process from splitting through semantic deduplication (Ray/Python) - [Video Pipeline Customization Tutorials](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/pipeline-customization.md): Advanced tutorials for customizing NeMo Curator video pipelines including adding custom code, models, stages, and environments - [Add Custom Environment](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/pipeline-customization/add-cust-env.md): Guide to creating and managing custom Docker environments for specialized video curation pipeline requirements - [Adding Custom Code](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/pipeline-customization/add-cust-code.md): Tutorial for adding custom code to video curation pipelines for specialized processing requirements - [Adding Custom Models](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/pipeline-customization/add-cust-model.md): Tutorial for integrating custom models into video curation pipelines for specialized captioning, embedding, or filtering tasks - [Adding Custom Stages](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/tutorials/pipeline-customization/add-cust-stage.md): Advanced tutorial for adding custom processing stages to video curation pipelines for specialized workflow requirements - [Video Data Loading](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/load-data.md): Load video data into NeMo Curator from local paths or fsspec-supported storage, including explicit file list support - [Process Data](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data.md): Process video data by splitting into clips, encoding, generating embeddings and captions, and removing duplicates - [Video Clipping](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/clipping.md): Split videos into clips using fixed stride or TransNetV2 scene-change detection - [Clip Encoding](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/transcoding.md): Transcode clips with CPU or GPU encoders and tune for quality and performance - [Filtering](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/filtering.md): Filter clips by motion or aesthetics to improve dataset quality - [Embeddings](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/embeddings.md): Generate clip-level embeddings using Cosmos-Embed1 or InternVideo2 - [Duplicate Removal](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/dedup.md): Remove near-duplicate clips using semantic clustering and pairwise similarity - [Frame Extraction](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/frame-extraction.md): Extract frames from clips or full videos for embeddings, filtering, and analysis - [Captions and Preview](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/process-data/captions-preview.md): Generate clip captions with Qwen and optional preview images - [Save and Export](https://docs.nvidia.com/nemo/curator/v25.09/curate-video/save-export.md): Understand output directories, parquet embeddings, and packaging curated video data for training > **Note:** This page contains both a page directory (above) and the landing page content (below). The page directory is generated for agent use and does not appear on the landing page. > For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v25.09/curate-video/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. # About Video Curation > Comprehensive guide to Ray-based video curation with NeMo Curator including splitting and deduplication pipelines for large-scale processing Learn what video curation is and how you use NeMo Curator to turn long videos into high‑quality, searchable clips. Depending on the use case, this can involve processing 100+ PB of videos. To efficiently process this quantity of videos, NeMo Curator provides highly optimized curation pipelines. ## Use Cases Identify when to use NeMo Curator by matching your goals to common video curation scenarios. * Generating clips for video world model training * Generating clips for generative video model fine-tuning * Creating a rich video database for video retrieval applications ## Architecture Understand how components work together so you can plan, scale, and troubleshoot video pipelines. The following diagram outlines NeMo Curator's video curation architecture: ![High-level outline of NeMo Curator's video curation architecture](/nemo/curator/_fern-img/67388f28b69b406148bf172d2269e71cd23dfbfd40c5ebb2bb0f312d9e7766ab.webp) > **Note** > > Video pipelines use the `XennaExecutor` backend by default, which provides optimized support for GPU-accelerated video processing including hardware decoders (`nvdecs`) and encoders (`nvencs`). You do not need to import or configure the executor unless you want to use an alternative backend. For more information about customizing backends, refer to [Add a Custom Stage](/curate-video/tutorials/pipeline-customization). --- ## Introduction Get oriented and prepare your environment so you can start curating videos with confidence. #### [Concepts](/about/concepts/video) Learn about the architecture, stages, pipelines, and data flow for video curation #### [Get Started](/get-started/video) Install NeMo Curator, configure storage, prepare data, and run your first video pipeline. --- ## Curation Tasks Follow task-based guides to load, process, and write curated video data end to end. ### Load Data Bring videos into your pipeline from local paths or remote sources you control. #### [Video Data Loading](/curate-video/load-data) Load videos from local paths, cloud storage, or explicit file lists ### Process Data Transform raw videos into curated clips, frames, embeddings, and metadata you can use. #### [Clip Videos](/curate-video/process-data/clipping) Split long videos into shorter clips using fixed stride or scene-change detection. #### [Encode Clips](/curate-video/process-data/transcoding) Encode clips to H.264 using CPU or GPU encoders and tune performance. #### [Filter Clips and Frames](/curate-video/process-data/filtering) Apply motion-based filtering and aesthetic filtering to improve dataset quality. #### [Extract Frames](/curate-video/process-data/frame-extraction) Extract frames from clips or full videos for embeddings, filtering, and analysis. #### [Create Embeddings](/curate-video/process-data/embeddings) Generate clip-level embeddings with InternVideo2 or Cosmos-Embed1 for search and duplicate removal. #### [Create Captions & Preview](/curate-video/process-data/captions-preview) Generate Qwen‑VL captions and optional WebP previews; optionally enhance with Qwen‑LM. #### [Remove Duplicate Embeddings](/curate-video/process-data/dedup) Remove near-duplicates using semantic clustering and similarity with generated embeddings. ### Write Data Save outputs in formats your training or retrieval systems can consume at scale. #### [Save & Export](/curate-video/save-export) Understand output directories, parquet embeddings, and packaging for training. --- ## Tutorials Practice with guided, hands-on examples to build, customize, and run video pipelines. #### [Beginner Tutorial](/curate-video/tutorials/beginner) Create and run your first video pipeline: read, split, encode, embed, write. #### [Split and Deduplicate](/curate-video/tutorials/split-dedup) Split videos and then remove near-duplicates using semantic dedup.