Compression Ratio Analysis for Surveillance Video Analytics Datasets Using H.264 and H.265 Standards
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Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh nilai kuantisasi terhadap rasio kompresi standar video H.264 dan H.265 dalam konteks dataset analitik video surveillance. Meningkatnya penggunaan layanan video yang mencapai 80% dari total lalu lintas internet telah menjadikan efisiensi kompresi video sangat penting, terutama dalam aplikasi surveillance. Untuk mengatasi masalah ini, penelitian ini menggunakan perangkat lunak FFmpeg pada sistem operasi Ubuntu untuk menguji berbagai nilai kuantisasi (26 dan 36) serta preset (veryslow dan ultrafast) pada sepuluh video dari berbagai sumber, termasuk rekaman CCTV dan video dari perpustakaan Matlab. Selain itu, penelitian ini mengusulkan metode kuantisasi dan teknik pengkodean yang berbeda untuk meningkatkan efisiensi kompresi. Hasil penelitian menunjukkan bahwa preset veryslow dengan nilai kuantisasi 36 memberikan hasil kompresi terbaik untuk kedua standar kompresi. Pengujian penggunaan Constant Rate Factor (CRF) juga menunjukkan rasio kompresi yang lebih baik dibandingkan kompresi lossless. Temuan ini memiliki implikasi praktis yang signifikan bagi aplikasi analitik video, terutama dalam mengurangi penggunaan bandwidth selama transmisi video. Penelitian ini menyarankan bahwa standar H.265 umumnya memberikan rasio kompresi yang lebih baik dibandingkan H.264, dengan nilai kuantisasi 36 sebagai pilihan optimal untuk menghasilkan bitstream yang lebih kecil tanpa mengorbankan kualitas video secara signifikan.
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