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All Journal TEKMAPRO Journal of Industrial Engineering and Management Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Ilmiah Inovasi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknologi Informasi dan Multimedia J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal Medika: Medika
Nugroho Setyo Wibowo
Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health Other

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Performance Evaluation of Motion Estimation and Compensation Algorithms in SNR Scalable Video Encoding Agus Purwadi Purwadi; Hendra Yufit Riskiawan; Agus Hariyanto; Nugroho Setyo Wibowo; Rani Purbaningtyas
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2466

Abstract

Motion estimation is the sequential determination of the direction of motion of an object in a video. The movement of an object is denoted by the term motion vector. Between the current and reference frames, motion vectors can signify shift points. The SAD (Sum of Absolute Different) block matching technique is fundamentally dependent on the assessment of an object's motion. This study proposes a hybrid approach that integrates the Three-Step Search (TSS) and Full Search (FS) algorithms. This integration aims to design a block matching algorithm that is applied to video encoding using signal-to-noise ratio (SNR) scalability. From this design, the study aims to obtain the performance results and evaluate the motion estimation process using both the TSS and FS algorithms for performance comparison in SNR scalability video encoding, in terms of video frame quality, bit rate, and PSNR, based on the average comparison of the two algorithms. Based on the experimental results, the FS algorithm achieved a total BD-PSNR of 0.22 dB with an efficiency rate of 12.45%, whereas the TSS algorithm achieved a total BD-PSNR of 0.18 dB and an efficiency rate of 7.6%. Therefore, the FS algorithm demonstrates superior performance compared to the proposed TSS algorithm in video transmission with SNR scalability.
Co-Authors Adi Heru Utomo Agus Hariyanto Agus Purwadi Purwadi Aji Seto Arifianto Andri Permana Wicaksono avan fadholi Avisenna Harkat Ayu Widya Arizona Deva Setia Pratama Dian Damayanti dony setiawan hendyca putra Dwi Putro Sarwo Setyohadi Elly Antika Erna Selviyanti Errica Rostia Loren Ery Setywan Jullev Atmadji Eva Rosdiana Feby Erawantini Fikri Haikal Hariyono Rakhmad Hendra Yufit Riskiawan I Gede Wiryawan Indah Qurrothul Uyun Maya Weka Santi Mukhamad Angga Gumilang Muknizah Aziziah Nanik Anita Mukhlisoh Puspitasari, Trismayanti Dwi Rachmawati, Ervina Raisa Putri Ramadhani Rani Purbaningtyas Rifqi Aji Widarso Rinda Nurul Karimah, Rinda Nurul Rus Indiyanto Suhartini Nur Afifah Sustin Farlinda Syamsiar Kautsar Vigo Dewangga Wenny Dhamayanti Wulandari, Sholihah Ayu