Reading time approx. 3 min
What are the benefits of utilizing Scene Detection?
Finding the original edit points in a video is a necessary step before beginning the editing process for that video. When you use scene detection, you won't have to manually search through the footage to find the cut points because the software will do it for you.
After you have imported your video files into Nero Video, you will have the option to configure Nero Video so that it will automatically find the points in your footage where the cuts were originally made.
Duble-click "Nero Start" on the desktop, then locate the application "Nero Video."
When Nero Video is launched, navigate to the middle function item "Edit &Export File" and select the third option listed, "Make Express Movie." Simply open it, and it will connect to your new video project.
To import the video, choose "Import"-"Import File." Select the "How to Stream from Smartphone to TV" file.
When you drag the video to the bottom timeline, it will appear in the bar.
Find the rightmost toolbar icon, click it, and it will display three features; select "scene detection."
A window will appear to confirm your sensitivity and minimum scene length settings; it may fill in parameter adjustments.
Show you the results processing bar for this action as well. When you press the start button, this function will be successfully applied.
Let's use scene detection to create a cut for this video. The video was quickly cut into 5 parts in the timeline bar.
Congratulations! Your video has already been automatically divided into several clips.
When you click the "multi export" button, confirm twice that you want to save your project. It will export the separated clips with
Select the output file format, such as AVC or another format, as well as the output directory path.
Successful export! We might as well look at the output file to see the final cut video. Play it to enjoy the segmented content.
This scene detection multi-clip exporting feature is incredibly helpful.
Give Nero Video a shot right now.