Create is the process of recording or otherwise create one or more files with video data.
Deleting data is the process of removing video files or or substantial parts of a data set, e.g. deleting single video files in a larger data set.
Copy will create another separate instance of your data as an identical copy. In most cases by copying the video files (maybe not all) to a new copy.
When you discard data, you do not delete the entire content (e.g. files or records) but you remove/omit part of the information within the data. This could be the case when you edit a movie file, removing parts of the video and save these changes to the same file.
Converting data concerns the process changing video files from one file format to another. This can be choice between file types, codecs etc. A file conversion can also be an upload option, e.g. on YouTube, where you convert the file in the upload process.
Merge is the process of bringing together two different video files into one by merging them, often by joining them in the same video, or align them with a tool for finding similarities etc.
Edit / alter can be used for actions where you make changes to data, e.g. overwriting, cropping, splitting the video files you are working with.
Moving is about moving video files from one location to another. This can be done across systems, e.g. from a laptop to a USB pen, or to another location within the same system from one folder to another.
Processing is the action of applying e.g. algorithms or similar to video data, e.g. looking for patterns in image, sound etc.
Synchronization of data keeps two data sets alike. It can be compared to an automatic copy procedure.
Upload is an action where you use a web browser, ftp client, or similar to copy a file to a remote system. This may include some kind of conversion of the file while uploading.
When you pseudonymize data, you substitute one or more values with non-identifiable keys. However, contrary to anonymization you store the mapping between keys and original values away from the data themselves. Pseudonymization makes it possible to reverse the process, if you hold both the mapping table and the pseudonymized data set. Pseudomization can be done in filenames etc., but is often hard to do in the actual video content.
When you anonymize data, you remove or change enough information in a data set to ensure that no single – or a combination – of values can be used to identify a person. This is useful when you need to share data, but do not have consent for sharing the identity.