EDITING

General Best Practices

Organize Your Footage: File structure should be similar for all eCornell projects.

Exports > This folder should include only final video exports (avoid saving older versions unless needed.)

Footage > 0x-0x-20xx (include dated folder for each shoot day)

Saves > ABC101 (Adobe Project save file name)

Maintain a Consistent Style: Stick to a consistent editing style to ensure your video has a coherent look and feel. Editors should utilize the eCornell Brand Guide when needed.
Export Properly: Ensure you export your video in the correct format and resolution for its intended platform. The majority of videos should be exported using our official eCornell Adobe Premiere preset.

Standard Video Processing
Color and audio is done once per faculty, per certificate unless there is a good reason to do more.

Color Correction

As a note, all the following should be taken as guidelines, the final look of the image is the most important. Use previous course examples to guide the look.

After luma, tint and temp look good, a small blue shift may be added in the low luminance region to give the gray a slight blue tone if it isn’t already there from tint/temp adjustments.

Before/After: Targets

Two examples will be provided, one for fairly pale skin, and one for fairly dark skin. All adjustments will need to be made with skin tone and luminance in mind and will need to be done person to person.

Below is a raw video of someone with pale skin. A .2 exposure bump and ~20 points of contrast (In Premiere Lumetri Color controls) will be applied to all videos. Below is the corrected image for a person with light skin.

Below is an example of a corrected scope for someone with dark skin. .2 exposure and ~20 contrast will still be used, but all the other adjustments will differ. Vectorscope targets are similar but note major differences in the luminance waveform.

Audio

The target loudness for videos, particularly for online platforms and broadcast, is typically measured in terms of LUFS (Loudness Units relative to Full Scale). All eCornell videos should have a target loudness level of -14 LUFS. This ensures a consistent listening experience across different content on the platform.

Adhering to these standards helps ensure that the audio is neither too loud nor too quiet, providing a balanced and pleasant listening experience for the audience.

Most of our video content new receives audio correction live in studio via presets/filters in vMix. However, there are still circumstances where fine tuning is needed. Descript is one of the many tools we lean on for audio correction.

Descript

Descript is a powerful tool for enhancing audio in various scenarios. Here are some specific instances when you should consider using Descript:

Removing Background Noise: If your audio has unwanted background noise, Descript's noise reduction feature can help clean up the audio.
Enhancing Dialogue Clarity: When you need to make dialogue clearer, especially in interviews or podcasts, Descript can help enhance vocal clarity.
Automated Transcription: Use Descript's transcription feature to generate text from your audio. This is useful for creating subtitles, scripts, or editing audio based on text.
Correcting Mistakes: If there are mistakes or unwanted sections in your audio, you can use Descript to cut, replace and regenerate words seamlessly.

Intro & Outro

Our intro and outro graphic is used on almost all eCornell videos.

Intro Graphic.mp4

Standard Outro Example.mp4

Kaltura Thumbnail

The standard eCornell thumbnail is used on all videos unless otherwise specified if the project or video is for an external stakeholder/delivery.

ATE Video Processing

Lower Thirds

The eCornell lower third template is used for ATEs and custom projects. It includes name, position title and company name. This is a .mogrt file template that can easily be altered in Adobe Premiere Pro.

ATE Questions

The five line ATE question text graphic is a .mogrt file that can easily be altered in Adobe Premiere to include interview questions.

Testimonial Video Processing

These videos are typical processed just like our studio course videos are processed. Special directions may be given depending on what is needed for each testimonial.

Multifeed Video Processing

Our multifeed videos generally always consist of two video feeds. Video of the faculty and video of graphics the faculty is referencing as they are talking to the camera.

The editor layers the graphic video feed over the faculty video feed. They use their judgment based on cues by the faculty to decide when to show graphics and when to show the faculty speaking. These projects can be complex, so it is important for the editor and instructional design team to meet as a first step.

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