Simplifying AI Video Search & Summarization Setup with Docker Compose | Intel Software

Опубликовано 12 января 2026, 16:02

This demonstration showcases the Video Search and Summarization (VSS) Sample Application, presenting a comprehensive pipeline for both summarizing lengthy videos and conducting semantic video searches. It is designed to assist developers in generating concise summaries of long-form videos, efficiently locating specific content, and combining these functionalities using Intel's Core Ultra 9 series platform, seamlessly deployed with Docker Compose on the Edge Microvisor Toolkit Developer Node. The demo serves as a practical guide for setting up, running, and customizing the sample application on both local systems and Edge AI environments.

Benefits
Accuracy and Consistency: Produces precise and impartial video summaries, eliminating the effects of human fatigue.

Time Savings: Cuts video review time from hours to mere minutes through automated AI-driven summarization.

Faster Decision-Making: Grants rapid access to vital video segments, facilitating swift insights.

Enhanced Search Capability: Allows for immediate retrieval of videos using keywords, tags, or recognized objects.

Scalability: Handles vast amounts of video data from numerous sources with ease.

0:19 Application Components and Setup: The application is composed of several microservices and provides a web UI for configuring pipelines, uploading videos, performing searches, and viewing summaries. The setup involves verifying platform details, cloning Edge AI libraries, and deploying the application using Docker Compose. 

0:59 Environment Preparation: The demo discussed setting essential environment variables, including registry details, credentials, and model configurations for video summarization, object detection, and text embedding. They also emphasized the importance of cleaning the environment before starting the application. 

1:40 Pipeline Deployment: The demo explained the deployment process, which includes running a unified video search and summarization pipeline, optimizing the Yolo object detection model for Open Vino, and launching all required services using Docker Compose. 

2:41 Video Processing and Summarization: The demo demonstrated the video processing steps, including selecting a video, defining chunk duration, adjusting ingestion settings, and generating a summary. The system analyzes selected chunks to create a concise summary of the video content. 

3:23 Chunk-Based Analysis: The demo highlighted the chunk-based approach, which divides the video into segments, extracts key frames, and allows users to generate summaries for specific chunks. This method makes video analysis faster, more organized, and efficient.  

System Requirements
Intel® Arc™ A770 Graphics GPU with following Intel® Core™ processor configurations:
Intel Core Ultra 7 Processor 265
Intel Core Ultra 9 Processor 285

Resources
Video Search and Summarization (VSS) Sample Application: github.com/open-edge-platform/...

Get Started Guide: github.com/open-edge-platform/...

Edge Microvisor Toolkit: github.com/open-edge-platform/...

Intel® AI Edge Systems: intel.com/content/www/us/en/so...

GitHub: github.com/open-edge-platform 

Open Edge Platform Playlist: youtube.com/playlist?list=PLg-...

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Simplifying AI Video Search & Summarization Setup with Docker Compose | Intel Software