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EN
Video streaming systems are rapidly evolving. There is an increasing demand for high-resolution content such as full hd (FHD) and 4K (UHD). This high-resolution content requires high processing power and storage. Video coding technology is used to compress video content. There are encoding parameters that effect compression efficiency and video quality. It is important to explore those coding parameters which have an impact on video compression and quality. This paper considers MPEG-4, MPEG-AVC, and MPEG-HEVC codecs for testing. The video sequence is encoded using different rate control modes and bitrates. The quality of encoded videos is estimated using the video multimethod assessment fusion (VMAF) objective model. The results show that MPEG-AVC performs significantly better than other codecs. The results also confirm the strong relationship between encoding parameters and video quality. This study provides a foundation for building optimization models in the video quality domain. The study results will be utilized to build robust optimization models for video quality evaluations.
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