Simple Back End for my Web Application, Split and Analyze, through which, starting from a gameplay automatically loaded by the system, it will be possible to carry out the segmentation and evaluation of video clips.
These operations will be necessary for the creation of a dataset that can be used in an automated approach that aims to categorize and identify the possible problems that may be present in a specific video game, identifying the context in which the problem occurs, such as the level of the game we are in, the type of problem and the description of the specific problem. To create the dataset, we will use evaluators, real users who have the ability to access the application and subsequently choose whether to segment a new gameplay or categorize an already segmented one.
Linux-based software suite, which allows you to manage everything related to multimedia files, in fact, it allows you to play, convert and record video and audio files.
- In our case it was used to allow the user to extract, starting from the original video, a clip that could have a random start and end time.
- To extract the tumblnail (preview image of the segment) from the newly created clip.
Python library that allows you to download a YouTube video.
- Through this function it is possible to implement the functionality concerning the addition of a video, specifying the URL of the YouTube video.
Python API that allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles, also allowing, if available, their translation.
- used to obtain transcriptions exclusively in English
