4: Make Video Size Smaller (Re-Size)Ĭhoosing a smaller video resolution (dimensions) can also save file size. For more info: read video bitrate control. To choose this option, select 'By Max Bitrate' from the 'Video Compress' dropdown.

Select this method if you are using the video in a streaming application where you want to control the streaming bandwidth rate. The quality is set by CRF (constant rate factor). This method allows you to set the max bitrate for given video quality. This is the default video compression method used. Increase the target size if you need better quality. To overcome this, start with a decent size (as a percentage of original), then test for video quality. The downside is you don’t know how the target size will affect video quality. The pros of this method are, you can achieve a certain target size. For example, if you set it to 60% for a 1Gb file, we will attempt to make your compressed file size 600Mb or less. This method allows you to set a target file size for your video as a percentage of the original size. As a Percentage of the Original Size (Default) If you prefer a lower file size over encoding time, choose a slower preset. Choosing a slower preset allows better optimization (lower bitrate/file size) for a given video quality level. Preset: Presets refers to the video compression speed. Higher values mean more compression (reduced file size), lower values mean better quality (but bigger file size). For the H264 encoder, possible CRF values range from 0 to 51. To do that, it uses different compression levels on different frames. By Video QualityĬRF (Constant Rate Factor): CRF method attempts to keep a constant perceived video quality. We provide 4 settings related to both methods. You can either optimize the bitrate or resize the video to a smaller size. The field of video compression continues to evolve, with ongoing research and development efforts focused on improving compression efficiency while maintaining high-quality video playback.There are two main methods to compress a video. These are just a few examples of advanced video compression methods. By representing the motion information efficiently, these techniques reduce the required quantity of data to represent the video sequence. Motion estimation and compensation techniques identify the motion vectors between frames and encode the differences instead of storing complete frames. Motion Estimation and Compensation: Video compression often takes advantage of temporal redundancy, which refers to similarities between consecutive frames. By adapting the encoding based on the context, CABAC achieves more efficient compression than more straightforward entropy coding methods.ģ. It analyzes the statistical properties of the video data and assigns shorter codes to frequently occurring patterns and more extended principles to less common ones. Context-Based Adaptive Binary Arithmetic Coding (CABAC): CABAC is an entropy coding technique commonly used in video compression standards like H.264 and H.265. It achieves this using more advanced encoding techniques, such as larger block sizes, more efficient motion compensation, and enhanced entropy coding.Ģ. HEVC achieves higher compression ratios while maintaining similar video quality.

High-Efficiency Video Coding (HEVC): The video compression standard HEVC or H.265 provides considerable enhancements. Yes, there are several advanced methods to reduce the size of a video.

Video file compression