“In order to capture these additional potential artifacts, we enhanced BQM with two more components: An Edge Loss component and a Temporal Consistency component,” the company continues. JPEGmini says that the application required some adjustment of the compression to ensure artifacts would not be left behind and all edges in the frame remain sharp.
“This is information that is imperceptible by humans, and there is no point in keeping information that we can’t see… But how do we identify such information, and remove it, while making sure all “essential” information is preserved? This is where the Beamr Quality Measure (BQM) comes into play.” “Basically, the way JPEGmini performs its ‘magic’ of reducing file size without affecting quality, is by removing perceptually redundant information from the image file,” the company explains.
The technology being used to optimize video files in JPEGmini is the same as tools used by many large video streaming services to reduce the video storage and delivery costs, which the company says is designed to ensure a quality streaming experience that is still top-notch for the end-users. The company says that video optimization times will vary based on the size and duration of the video clips imported into the application.
Jpegmini pro maxfeel mp4#
The current 3.3 version supports the optimization of h.264(AVC) MP4 and MOV files and users can expect up to a 50% file size reduction (30% on average, with peaks up to 80%), while quality and playability remaining the same as the original file, the same as the company says can be expected of JPEGs. The company says users can even grab entire folders of files with images and video files interspersed within them which the program can work through in a single batch process. Like everything else with JPEGmini, optimization of video begins with a simple drag-and-drop into the app.
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