intel/streaming-pipeline

Image-Based Video Search Sample Application

Performs near real-time analysis and image-based search to detect and retrieve objects of interest in large video datasets.

Overview

The Image-Based Video Search sample application lets users search live or recorded camera feeds by providing an image and view matching objects with location, timestamp, and confidence score details.

This sample provides a working example of how to combine edge AI microservices for video ingestion, object detection, feature extraction, and vector-based search.

You can use this foundation to build solutions for diverse use cases, including city infrastructure monitoring and security applications, helping operators quickly locate objects of interest across large video datasets.

About this Docker Image

This Docker image powers the streaming pipeline microservice, which is responsible for ingesting, processing, and streaming video data in the Image-Based Video Search application. It leverages Intel's DL Streamer framework and GStreamer plugins to enable real-time video analytics and object detection.

The image includes support for advanced video processing pipelines and integrates seamlessly with other components, such as the RTSP server and feature-matching microservice. It is optimized for high-performance video streaming and analytics, making it suitable for handling large-scale video datasets.

This image is designed to be flexible and configurable, supporting conditional installation of source code for compliance and customization needs, while maintaining efficiency and scalability in deployment.

Deploy using Docker Compose

For more details on deployment, refer to the documentation.

Deploy using Kubernetes Charts

For more details on deployment, refer to the documentation.

Disclaimer

This container image is intended for demo purposes only and not intended for production use. To receive expanded security maintenance from Canonical on the Ubuntu base layer, you may follow the how-to guide to enable Ubuntu Pro in a Dockerfile⁠ which will require the image to be rebuilt.

License Agreement

Copyright (C) 2024 Intel Corporation.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at [***]

Important Notice

This reference implementation is designed to facilitate smart cities application development. It is not intended for police, military or similar surveillance uses, use as part of critical infrastructure operations, determining access to education or other significant resource, managing workers or evaluating employment performance.

This reference implementation is intended to allow users to examine and evaluate Image-Based Video Search application and the associated performance of Intel technology solutions. The accuracy of computer models is a function of the relation between the data used to train them and the data that the models encounter after deployment. This model has been tested using datasets that may not be sufficient for use in production applications. Accordingly, while the model may serve as a strong foundation, Intel recommends and requests that this model be tested against data the model is likely to encounter in specific deployments.

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

Licensing Information

Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

FFmpeg: FFmpeg is an open source project licensed under LGPL and GPL. See FFmpeg Legal Information. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.

GStreamer: GStreamer is an open source framework licensed under LGPL. See GStreamer Licensing Information. You are solely responsible for determining if your use of GStreamer requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of GStreamer.