detailed description of the case
One of the most popular types of videos on YouTube is compilation videos. There is a lot to choose from: cat videos, best of Leo Messi and Cristiano Ronaldo, or best action scenes from movies. Using TAPe we can make a compilation of videos like this based on your request (semantic kernel), delete all duplicates, group fragments based on how often they are reproduced, and give links to all videos that are used in the compilation. Our system will do this automatically. You can make any types of requests for any number of videos falling under any topic. In the future, we will add a feature that allows tracking when new videos fitting your criteria are uploaded and adding them to the compilation video.
Function
Multyfunction
SOURCES USED IN THE DEMO
Specially prepared sets of topical and popular videos collected from different sources.
Presets
Shows all the matching video fragments from different video hosting links returned in response to user request, with the exact location of the fragment and the number of repetitions specified.
LINKS
Sources used in the demo
Specially prepared sets of topical and popular videos collected from different sources.
Presets
Shows which fragment of the movie / series is used in the video.
Filmlibrary
Shows all the matching video fragments from different video hosting links returned in response to user request, with the exact location of the fragment and the number of repetitions specified.
Links
You can get reports on the broadcast of any kind of videos (commercials, TV bumpers, parts of programs, etc.) on TV channels.
TV Channels
Each video fragment is associated with a bunch of presets, FilmLibrary, links, and TV channels, i.e. original sources where the system found that fragment. You can access those sources by clicking Pause and selecting the fragment you want from the list of sources that appears in the pop-up menu.
Segmentation Details
Videos are divided into fragments that the system found in different sources and edited into a single preset. Fragments are sorted according to how frequently they are cited in the sources across which the search was done.
Timeline Segmentation
Similar cases
by Industry
Media
by Function
Multyfunction
