Book Details

NoIMG

Automatic video editor / Naeem Alhomsi ; Yahea Najibeh ; Yasser Nourallah ; Ahmad Sukkar

Publication year: 2021

: CCE00039

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Searching in a large database of videos is one of the challenges faced by the user today as most of the results are inaccurate or correct. In our project, we worked on developing a system that receives the search word from the user and searches for it among a large number of videos using MSR-VTT dataset and COCO data set based on the elements that we see inside the video. Entered by the user. We have also worked on adding other options that the user can benefit from in modifying the videos, such as entering a black and white video clip and returning the result in color. The user can also enter a low-resolution video clip, and the system improves the accuracy of the video and sends it.


: Computer Sceince, Deep learning, Colorization, Computer vision, Database, Videos, Applications, Artificial Intelligence, Algorithms, Quality