Usually, a video signal has high temporal redundancies due to the high correlation between successive frames. This redundancy has not been exploited enough by current video compression techniques. In this pape44grr, we present a new video compression technique which tends to hard exploit the pertinent temporal redundancy in the video to improve processing efficiency with minimum processing complexity. It includes 3D to 2D transformation of the video that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation converts the spatial and temporal correlation of the video signal into a high spatial correlation. Indeed, this technique transforms each group of pictures into one picture eventually with high spatial correlation. Thus, the De-correlation of the resulting pictures by the DCT makes efficient energy compaction, and therefore produces a high video compression ratio. Many experimental tests had been conducted to prove the technique efficiency especially in high bit rate and with slow motion video.