If a person is well over 20, then he has already accumulated a huge film library of his life, as well as videos from friends, relatives, from the place of work ... It is no longer possible to find someone or something specific there. Recently I was preparing a video selection for my daughter's anniversary - I spent a week. The media are all the more overloaded with video archives. And every day millions of terabytes of video content appear in the world. And this is in the era of BIG DATA.
So far, even YouTube does not give the opportunity to make a selection of all videos, for example, where there are little dogs or your favorite actress meets. We did not wait for Google to be able to search not only by titles for videos ... And here is our neural network for video archives - Fable.
This article is a request. An interesting request is to test a new service based on neural networks, which, we hope, will soon be useful to everyone. And give recommendations.
Soon - because this is only the first try of the pen that our novice programmers are doing, we always set them such unexpected tasks, because all professionals are busy making money. Therefore, neural networks are not the most superb, but the main thing here is the very principle that allows you to turn any film library into a search environment.
This site shows how videos are laid out:
- to plots to quickly view all video content and jump to the desired moment,
- on the faces of the participants to quickly view all the stories with their participation,
- for search items (people, cars, faces, books, phones, bottles ... more than 300 items).
The proposed program is downloaded by the user and scans the entire contents of the disk, creating index files for search queries. We will be glad to have any ideas, as well as programmers who will continue this and other similar projects. Say something about how to improve the project and get a prize - free software from our company, which costs hundreds of thousands, and has many neural networks in it. All of them are created by the largest company in the field of video surveillance - Spetslab.