Generally speaking, video sequences contain a significant amount of statistical and
subjective redundancy within and between frames. The ultimate goal of video source
coding is the bit-rate reduction for storage and transmission by exploring both statistical
and subjective redundancies and to encode a "minimum set" of information using entropy
coding techniques. This usually results in a compression of the coded video data compared
to the original source data. The performance of video compression techniques depends on
the amount of redundancy contained in the image data as well as on the actual compression
techniques used for coding. With practical coding schemes a trade-off between coding
performance (high compression with sufficient quality) and implementation complexity is
targeted. For the development of the MPEG compression algorithms the consideration of
the capabilities of "state of the art" (VLSI) technology foreseen for the lifecycle of the
standards was most important.