Current video codec SIF is extensively employed by The purchasers. Inspite of of its youth it has proved itself in one of the best ways throughout exams. Codec with the SIF-converting algorithm was designed in 2000 and Later on was named SIF1 codec. This codec is being continuously improved and presently there isn't any faults in online video compression applications. It is obtainable in all courses for online video operations and it may be quickly mounted in this kind of application setting as DivX. These parameter as conclusion value is extremely important for that online video codec. The greater is the value of this parameter the lower will be the image good quality on account of large volume of compression. Thats why the ideal value for this parameter is 30. Regarding the shots, the codec fixes the grounds routinely and inserts vital photographs particularly as desired. In accordance with the exam outcomes with the choice price of thirty the codec is compressing 798kb of video clip in four:29 min:sec underneath the processor add The peculiarities of this codec are as follows: - minimal sensitivity to sound of incoming picture; - lower rate of decompression artifacts; - high adaptability of compression algorithms, Furthermore there is a chance to pick the compression parameter even with the graphic size of 2x2pcs; - you can find Specific demands towards the processor, recommended frequency for your comfy viewing of your films coded by this codec is a lot more that 1500 MHz; - the basic set of commands MMX is about while in the codec; - the scale of compressed graphic should be sixteen-fold horizontally and vertically. On the list of lacks of SIF- changing is significant prerequisite on the potential of process memory also to the processor hard cash measurement. Consistently improving upon methods of algorithm optimization continue to are unable to get rid of this issue. Each up to date SIF1 version underscores the performance on the dissective Section of Core6. The algorithm of the digitizer Procedure is becoming altered all the time. The vividness on the decoded image and whole performance from the compression are being improved, as well as the Procedure in small resolution is improving. Psycho-visual product is tremendously improved in the most recent version. In the midst of time the developer will carry out SSE2 help,
