What is video platform check and video de-duplication?

Today, I would like to talk to you about a topic that people often worry about when creating video content - video duplication. First, let's define what video duplication means.
What is video duplication? Video duplication, as the name suggests, is a technical approach that aims to prevent identical or similar videos from being repeatedly uploaded to online video platforms, thereby improving copyright protection and content security. The primary purpose of video de-duplication is to detect the similarity of video content, determine whether the video is duplicate or nearly duplicate to other videos already on the platform, and then delete or block it.
Video de-duplication typically uses image recognition and audio recognition technology to extract image frames and audio information from the video, convert them into digital features, and compare them to determine the similarity between videos. Some online video platforms such as YouTube and TikTok have developed their video de-duplication algorithms and technologies to ensure that platform content meets copyright requirements and community guidelines.
So, video de-duplication is a means or method to fight against video duplication.
Now that we know what video duplication and de-duplication mean, our next step is to gain insight into the common de-duplication methods.
Common video de-duplication methods include:
Content-based de-duplication algorithms This algorithm calculates the feature code of the video content to determine the similarity between videos. When the similarity of two video feature codes exceeds a certain threshold, it is judged as a duplicate video.
Frame-based de-duplication algorithms This algorithm compares video frame differences to determine the similarity between videos. When the difference between the frames of two videos exceeds a certain threshold, it is judged as a duplicate video.
Audio fingerprinting de-duplication algorithms This algorithm calculates the audio fingerprint information in the video to determine the similarity between videos. When the audio fingerprint similarity of two videos exceeds a certain threshold, it is judged as a duplicate video.
Video metadata de-duplication algorithms This algorithm compares video metadata information such as file size, creation time, modification time, and so on to determine the similarity between two videos. When the metadata similarity of two videos exceeds a certain threshold, it is judged as a duplicate video.
It should be noted that currently, most platforms do not use a single algorithm for de-duplication. They use a combination of different algorithms or models.
What are some de-duplication methods? Now that we know about de-duplication algorithms, let's explore some targeted de-duplication methods. These methods are for educational purposes only and are used to circumvent video de-duplication.
Modify video size and resolution Changing the video size and resolution makes the video look different from the original video, thereby affecting the decision made by the de-duplication algorithm.
Change video format and encoding method Changing the video format and encoding method can alter the video's feature code, thereby making it different from the original video.
Add or modify video/ audio Adding or modifying video/ audio can change the video's feature code, making it different from the original video.
Add watermark to video Adding a watermark can change the video's feature code, thereby making it different from the original video.
Clip or edit video Clipping or editing a video can delete or modify some of the video's content, thereby confusing or interfering with the de-duplication algorithm.
Re-create subtitles or voiceovers. Adding extra stickers, text, or any other enhancements to the video can make it look distinct.
It is essential to note that different platforms may use different de-duplication algorithms. Therefore, there is no one-size-fits-all way to circumvent duplication. Also, de-duplication algorithms continue to be upgraded, making it difficult to bypass them. If you want to publish videos online, it is recommended to use original content and avoid using someone else's videos, audios, images, etc., to ensure that your videos are not judged to be duplicates.
Finally, all of the de-duplication methods that I discussed require time or editing skills. Therefore, focusing on your content creation can promote originality and reduce the need to use de-duplication techniques.
So, all of those methods for video de-duplication. Is there any software that can automatically help you complete this process? As a matter of fact, there is one: JollyToday's online video editing product, GhostCut. It can automatically de-duplicate video content and provide multiple functions such as speed doubling or slowing, trimming, mirroring, frame extraction, picture-in-picture, sharpening filters, transition stickers and more. The software processes everything automatically - it can even automatically remove watermarks or text from videos and translate Chinese videos into English. This greatly improves video production efficiency.