Purwadi, Agus (2025) Optimisasi Laju Distorsi Pada Transmisi Video Dengan Multi Skalabilitas Menggunakan Pengali LAGRANGE Adaptif. Doctoral thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Konten video saat ini menjadi sangat populer dan mendominasi lalu lintas internet, dan berbagai upaya untuk merancang dan mengimplementasikan layanan Quality of Service (QOS) sedang dilakukan. Selama transmisinya melalui jaringan, ada paket yang hilang dan variasi beban yang signifikan pada bandwidth dan kemacetan jaringan menurunkan kecepatan transmisi data video. Untuk mengatasi permasalahan tersebut, penelitian ini mengusulkan pengkodean video baru, yaitu High-Efficiency Video Coding (HEVC), dengan multi-skalabilitas dalam outputnya, termasuk Signal to Noise Ratio (SNR), skalabilitas spasial dan temporal, serta mengintegrasikan metode Three-Step Search (TSS) dan Full Search (FS) dalam transmisi video multi-skalabilitas untuk meningkatkan efisiensi dan memperbaiki kualitas dengan menggunakan algoritma pencocokan blok. Selain itu juga digunakan metode optimisasi rate-distortion dengan pengali LAGRANGE yang optimal dalam pengkodean video multi-skalabilitas dan Multi-view Video Coding (MVC). Dengan pengali LAGRANGE yang optimal mengurangi laju transmisi sambil mempertahankan kualitas frame video dan mencapai efisiensi tinggi dalam pengodean video multi-skalabilitas. Hasil penelitian menunjukkan bahwa penggunaan teknik multi skalabilitas menghasilkan kinerja yang lebih baik daripada skalabilitas tunggal yang ditunjukkan oleh peningkatan rata-rata Peak Signal to Noise Ratio (PSNR) dalam kualitas video. Dengan menggunakan uji video dalam format Standard Definition (SD), Common Intermediate Format (CIF), dan High-Definition (HD), algoritma FS memiliki nilai Bjontegaard delta (BD)-PSNR 0 dB dan efisiensi 62,4%, sedangkan TSS dengan nilai BD-PSNR 0,8 dB dan efisiensi 23,6%. Sedangkan pada pengujian pengali LAGRANGE dengan nilai perbandingan antara optimisasi default (λoriginal) dan yang diusulkan (λtest) menunjukkan peningkatan rasio BD PSNR 32,52%. Sedangkan pengujian MVC dengan skalabilitas SNR terdapat peningkatan rata-rata BD-PSNR sebesar 0,263 dB pada λ = 0,425Q2 dan penghematan bit sebesar −0,879% pada λ = 1,7Q2.
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Nowadays, video content is becoming very popular and dominates internet traffic, and various efforts to design and implement Quality of Service (QOS) services are being made. During its transmission through the network, there are packet losses and significant load variations in bandwidth, and network congestion reduces the video data transmission rate. To solve these problems, this study proposes a new video coding, namely High-Efficiency Video Coding (HEVC), with multi-scalability in its output, including Signal to Noise Ratio (SNR), spatial and temporal scalability, and integrates Three-Step Search (TSS) and Full Search (FS) methods in multi-scalable video transmission to improve efficiency and improve quality by using a block matching algorithm. In addition, the rate-distortion optimization method with optimal LAGRANGE multiplier is also used in multiscale video coding and multi-view video coding (MVC). With the optimal LAGRANGE multiplier, the transmission rate is reduced while maintaining the quality of video frames and achieving high efficiency in multiscale video coding. The results indicate that the use of multi-scalability techniques produces better performance than single scalability, as indicated by the average increase in Peak Signal-to-Noise Ratio (PSNR) in video quality. In video tests using Standard Definition (SD), Common Intermediate Format (CIF), and High-Definition (HD) formats, the FS algorithm has a BD-PSNR value of 0 dB and an efficiency of 62.4%, while TSS has a BD-PSNR value of 0.8 dB and an efficiency of 23.6%. The LAGRANGE multiplier test, comparing the default optimization (λoriginal) and the proposed (λtest), reveals a 32.52% increase in the BD PSNR ratio. The MVC test with SNR scalability demonstrates an average increase in BD-PSNR of 0.263 dB at λ = 0.425Q2, along with a bit saving of −0.879% at λ = 1.7Q2.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | FS, HEVC, LAGRANGE, MVC, rate–distortion, SAD, TSS FS, HEVC, LAGRANGE, MVC, rate–distortion, SAD, TSS |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5956 Quality of service. Reliability Including network performance T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Data Transmission Systems T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20001-(S3) PhD Thesis |
| Depositing User: | Agus Purwadi |
| Date Deposited: | 31 Jul 2025 06:39 |
| Last Modified: | 31 Jul 2025 06:39 |
| URI: | http://repository.its.ac.id/id/eprint/124122 |
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