Sif

SIF

Summary: Up to date video codec SIF is widely used by the customers. Despite of its youth it has proved itself in the best way during tests. Codec with the SIF-converting algorithm was created in and afterwards was named SIF codec...

video codec sif computers

Article Body: Up to date video codec SIF is widely used by the customers. Despite of its youth it has proved itself in the best way during tests. Codec with the SIF-converting algorithm was created in and afterwards was named SIF codec. This codec is being continuously improved and currently there are no errors in video compression programs. It is available in all programs for video operations and it can be easily installed in such software environment as DivX. Such parameter as decision value is extremely important for the video codec. The more is the value of this parameter the lower is the image quality due to high level of compression. Thats why the best value for this parameter is . Regarding the shots, the codec fixes the grounds automatically and inserts key shots exactly as needed. According to the test results with the decision value of the codec is compressing kb of video in : min:sec under the processor upload <% during the viewing.

The peculiarities of this codec are as follows:

- low sensitivity to noise of incoming image; - low rate of decompression artifacts; - high flexibility of compression algorithms, in addition there is an opportunity to choose the compression parameter even for the image size of xpcs; - there are special requirements to the processor, advisable frequency for the comfortable viewing of the films coded by this codec is more that MHz; - the basic set of commands MMX is set in the codec; - the size of compressed image has to be -fold horizontally and vertically.

One of the lacks of SIF- converting is high requirement to the capacity of system memory and to the processor cash size. Continuously improving methods of algorithm optimization still are not able to eliminate this problem.

Each updated SIF version underscores the efficiency of the dissective part of Core. The algorithm of the digitizer operation is being changed all the time. The vividness of the decoded image and total efficiency of the compression are being improved, and the operation in low resolution is getting better. Psycho-visual model is greatly improved in the latest version. In the course of time the developer will implement SSE support, which affects the processing speed. SIF and its improved converting algorithm can easily take the lead among the other programs, and moreover it can displace DivX and XVid in the nearest future.

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