Currently, numerous MP4 video files are widely distributed and often have relatively large sizes. To address storage issues, compression is needed to reduce file sizes. The aim of this research is to implement the Stout Codes algorithm for compressing MP4 video files, analyze the compression level achieved by this algorithm, and evaluate its performance in terms of compression ratio and video quality after compression. This study seeks to explore the effectiveness of Stout Codes in reducing MP4 file sizes while maintaining optimal video quality, providing insights into how this algorithm can be applied in video management and storage. Data compression is the process of transforming data into a more efficient code to save storage space. Various algorithms are used in the compression process, one of which is the Stout Codes algorithm, which is relatively uncommon. Stout Codes work by encoding video blocks into smaller binary forms without losing original information. Applying this algorithm to MP4 video files results in a Compression Ratio of 5.62%, meaning the file size before compression, which is 128 bits, can be reduced to 72 bits after compression. Thus, the Stout Codes algorithm offers an effective solution for reducing video file sizes while preserving data integrity, despite its less frequent use compared to other compression algorithms.
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