Click the “Add Video” button to browse QuickTime video you want to compress or videos you want to convert and compress for QuickTime Player. Step 3: Choose output format Next to the “Add Photo” button, click the button and then on the drop-down panel select “Change” option. How to Compress Photos on Mac via Photos App? The fastest way to compress photos on your Mac is to use Photos app. It is a simple way beyond all doubt, with only few clicks you can fulfill the task of compression of pictures on Mac Photos. Step 1: Free Download the email video compressor for PC (including Windows 10), or download Mac version (macOS Sierra supported) and run it on your computer. Click 'Add File' icon to load the video file. Step 2: Hit Settings icon on the right to compress video for email.

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Video Compressing and Resizing - Something You Need to Know When it comes to media streaming, the importance of data compression cannot be overemphasized too much. It has a direct impact on the user experience and transmission cost. For example, you will spend 11min uploading a 7s raw video at 10 Mbps data transmission speed but the transmission time will be decreased to 500ms only when the raw video is compressed with H.264. This is not the end, a video in raw form make storage costly.

The compression using the same codec will greatly reduce the number of bits required to represent the video from 817 MB to 708 k. Given a high demand on media compression in anticipation for a faster media transmission and less space occupation, this guide will explain everything regarding to video file compression, from the exact file size each video takes up to the. Part 1: Why Is File Compression Important The prerequisite for compression is there are some types of redundancy and irrelevancy in video dataset.

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The video type compression is meant to remove the wasted space consumed by storage media in such a way to reduce overall size of the media file. Does the Video Have Redundancy? The video redundancy can be categorized into 4 types. • • Spatial redundancy (aka intra frame redundancy). The nearby pixels of are correlated with each other. This usually happens in still image. The reduction of spatial redundancy is also called intraframe compression.

• • Temporal redundancy (aka interframe/interpixel redundancy). When there are moving images like HDR, adjacent frames have the same values in the same location. Process of reducing the temporal redundancy is generally what we call interframe delta compression, which is the primary tech in data compression. • • Visual redundancy. Human eyes are generally insensitive to drastic changes of the video.

This is a precondition for lossy compression at the expense of minor image quality loss that naked eyes cannot even distinguish. • • Coding redundancy.

Uncompressed image is coded with the pixel at a fixed length. Compression is may be achieved with variable length code schemes such as Huffman coding. How Is the Video Shrinked and Compressed? Technically, the core technology of data compression is the removal of redundancies mentioned above. And compress methods can be sorted into lossless and lossy compression. The former involves in two-step algorithms, which transforms the original video to a format in which the temporal redundancy is reduced in the first step, and then the coding redundancy is removed with an entropy encoder in the second step.

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This method reaches a compression ratio of only 2:1 but it completely recovers the original video without any loss. Known for its high fidelity, lossless compression is especially important in the field of satellite and medical X-ray.

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While lossy compression achieves a compression ratio as high as 50:1 at the cost of something unimportant based upon the ocular perception. The loss of video information cannot be recovered but the degradation of video image is still acceptable.

Lossy compression is categorized into intraframe compression and interframe compression, each involving in few step algorithms in accordance with the 4 types of redundancy mentioned above. The former is specifically used for compressing the video within the one frame. The latter is adopted by more advanced video encoder, which derives from the correlation of neighboring frames, which encodes based on the vector difference between the current frame and the adjacent frames. Below are the process for general lossy video compression. The Lossy Intraframe Compression Workflow: • Step 1: Do away with spatial redundancy to pack the original video efficiently during transformation. • Step 2: Use a quantizer to take out the visual redundancy so as to cut down the video bits. • Step 3: Wipe out coding redundancy with entropy encoder for more efficient compression.