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Detecting Shot Changes with the Video Intelligence API

Detecting when a shot changes in a video is a foundational step when it comes to video indexing. Google Cloud Video Intelligence API is capable of processing digital video to output the beginning and ending time code, demarking individual moments taken by a single camera and representing a continuous time and space. In this lab, you'll use a Python script to process a digital video with the Video Intelligence API's annotate function to output a series of individual shots and then compare the timestamps to the original video.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Last updated
Clock icon Sep 03, 2025

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Table of Contents

  1. Challenge

    Enable API

    Enable the Video Intelligence API.

  2. Challenge

    Retrieve the Working Files

    1. Activate the Cloud Shell.
    2. Clone the desired repository.
    3. Change directory to the working files.

  3. Challenge

    Set Up Service Account

    1. Launch the Editor.
    2. Expand the content-google-cloud-certified-professional-machine-learning-engineer folder.
    3. Name the file key.json.
    4. From this hands-on lab credentials, copy the Service Account Credentials.
    5. Save the file.
    6. Switch to the Terminal to export the key.json file.

  4. Challenge

    Send Request to Video Intelligence API

    1. Execute the Python command to call the Video Intelligence API and pass in the digital video file path as an argument:

      python shotchange.py https://storage.googleapis.com/cloud-samples-data/video/JaneGoodall.mp4

  5. Challenge

    Verify Output

    Compare output shot change time codes to actual video for validtion of process.

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