Reconstructing Streamed Videos with AI: Points to Consider When Creating Editing Proposals from Short Instructions

After publishing a streamed video, there is still the task of cutting out highlights or rearranging them for other media. If you get AI to help with this, you can quickly test multiple editing proposals from a single recording.

However, the goal is not to publish the finished product as-is. You leave the creation of candidates to the AI, while humans confirm what to keep, what to cut, and whether there are any issues with the facts.

■ Decide on the purpose first, not just "making it short"

Even for the same stream, the required format differs for clip videos, article introductions, and social media announcements. First, decide who will see the material and where.

・Make it a vertical short-form video
・Place it at the beginning of an article
・Explain only one point
・Use it as a supplement after publication

If you give instructions while the purpose is vague, you will end up with more editing proposals that look polished but have no practical use.

■ Prepare the materials to give to the AI

Instructions should include the original video, the objective, the intended length, the points you want to keep, and expressions you want to avoid. If you just say "cut it nicely," the AI will not have a basis for judgment.

Especially in political and administrative videos, it is important not to drop proper nouns, numbers, or the context of statements. If you cut too much context to make it shorter, it can create a different impression from the original statement.

■ Three areas that humans must always check

The first is errors in subtitles. Personal names, system names, place names, and numbers are parts where speech recognition is prone to mistakes.

The second is the context before and after the cut. If you extract only the conclusion, the conditions or reservations of the statement may disappear.

The third is compatibility with the publication platform. Check whether expressions that look strong in a short format contradict the article or the explanation in the main video.

■ To turn a single recording into an asset

AI increases the speed of editing, but it does not take responsibility for the content. Keep the original video accessible, compare the before and after editing, and have a human confirm the final version. With this procedure, it becomes easier to expand a single stream into articles, subtitles, short clips, and announcements.

The more you expand the scope of what you delegate, the clearer your judgment on what to keep must be. That is the fundamental principle when using AI for video editing.

▼ Read also

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https://note.com/poliplus/n/nf35e9721e9b4

・AI operational design for deploying one video to multiple media: Human judgment and responsibility

https://note.com/poliplus/n/nfa84bc37af7a

▼Summary of this theme

・Summary of AI x Content Creation Know-how

https://note.com/poliplus/n/ncd6194c20727