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Generally, video signal has high temporal redundancies due to the high correlation between successive frames. Actually, this redundancy has not been exploited enough by current video compression techniques. In this paper, we present a new video compression approach which tends to hard exploit the pertinent temporal redundancy in the video frames to improve compression efficiency with minimum processing complexity. It consists on a 3D to 2D transformation of the video frames that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation turns the spatial-temporal correlation of the video into high spatial correlation. Indeed, this technique transforms each group of pictures to one picture eventually with high spatial correlation. Thus, the decorrelation 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 method efficiency especially in high bit rate and with slow motion video. The proposed method seems to be well suitable for video surveillance applications and for embedded video compression systems.