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Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data. [1]
LosslessCut is a free, platform independent video editing software, which supports numerous audio, video and container formats. [4] [5] It is a graphical user interface, with MacOS, [6] Windows [7] and Linux [8] support, using the FFmpeg multimedia framework. The software focuses on the lossless editing of the video files. [9]
Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.
Three types of pictures (or frames) are used in video compression: I, P, and B frames. An I‑frame (intra-coded picture) is a complete image, like a JPG or BMP image file. A P‑frame (Predicted picture) holds only the changes in the image from a previous frame. For example, in a scene where a car moves across a stationary background, only the ...
VP8 is a traditional block-based transform coding format. It has much in common with H.264, e.g. some prediction modes. [8] At the time of first presentation of VP8, according to On2 the in-loop filter [9] and the Golden Frames [10] were among the novelties of this iteration.
This simplifies video editing software, as it prevents a situation in which a compressed frame refers to data that the editor has deleted. Usually, video compression additionally employs lossy compression techniques like quantization that reduce aspects of the source data that are (more or less) irrelevant to the human visual perception by ...
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