Nollywood Movie Sequences Summarization Dataset for Machine Learning Applications

Ofut Ogar Tumneayu; Awuna Kile

doi:10.52589/BJCNIT-CVZ6HABH

Nollywood Movie Sequences Summarization Dataset for Machine Learning Applications | AB Journals

Nollywood Movie Sequences Summarization Dataset for Machine Learning Applications

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British Journal of Computer, Networking and Information Technology

Vol. 7Issue 22024pp. 43–48Published 24 June 2024

DOI 10.52589/BJCNIT-CVZ6HABH

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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.

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