Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

DOI: http://dx.doi.org/10.15439/2025F1886

Citation: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 43, pages 659–664 (2025)

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Abstract. The growing demand for efficient video compression solutions underscores the increasing significance of research into coding optimization on multi-core systems. This paper presents the implementation and performance analysis of a multithreaded video encoder developed in Java and optimized for modern multi-core processors. The encoder per- forms intra-frame compression of raw YUV 4:2:0 video using a frame-based parallelism approach. This method maximizes CPU core utilization while minimizing thread management overhead. Tests were conducted on five platforms equipped with multi- core processors from Intel and AMD. The application's execution time was measured for varying numbers of frames. The obtained results demonstrate effective scalability of the encoder as the number of processed frames increases, confirming that Java can be an effective tool for implementing parallel video compression on multi-core systems.

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