Nollywood Movie Sequences Summarization Dataset for Machine Learning Applications
Publication Date: 24/06/2024
Author(s): Ofut Ogar Tumneayu, Awuna Kile.
Volume/Issue: Volume 7 , Issue 2 (2024)
Abstract:
Summarization in recent time has become one of most exploited area of natural language processing task, due to significant increase in data volume which is more than terabytes and petabytes. In this article, we present a custom dataset for Nollywood movie sequences, an extensive collection of 13 Nollywood movies representing various genres, including drama, comedy, action. This custom dataset was impendent into pre-train benchmark dataset TVSum following the same file format, frame size and others in order to suit our purpose. Fast Forward Moving Picture Expert Group (FFMPEG) were used for video encoding during pre-processing and final skimming. The proposed framework is effective for creating movie summary with high user satisfaction rate and having reasonably low computing requirement.
Keywords:
Summarization, Dataset, Training, Data Pre-Processing, Nollywood custom dataset, models, movie sequences, Machine Learning.
