For transmission of extremely large amount of video raw data, compression is needed to reduce the video data rate. Conventionally video compression standards (CCITT H.261 and MPEG) employ transform coding to reduce the spatial redundancy and; block-based motion estimation as well as compensation to reduce the temporal redundancy in video sequence....[ Read more ]

For transmission of extremely large amount of video raw data, compression is needed to reduce the video data rate. Conventionally video compression standards (CCITT H.261 and MPEG) employ transform coding to reduce the spatial redundancy and; block-based motion estimation as well as compensation to reduce the temporal redundancy in video sequence.

In video transmission at very-low-bit-rate (VLBR), those compression methods do not seem to be capable of reaching the transmission rate at about l0-20 kbit/s. In order to cope with such environment, a number of pre-processing steps of video sequences matched with some post-processing methods are suggested to further compress and reconstruct the video sequences. A simple and efficient way to implement such an idea is the use of decimation and interpolation. This is called interpolative video coding (IVC) scheme.

In this thesis, we develop several interpolation methods that have taken into consideration both the spatial and temporal correlations for the IVC. We apply these interpolators to very-low-bit-rate (less than 64kbit/s) video transmission based on the decimation/interpolation scheme that is proposed earlier[5]. The performance of the proposed algorithm with the newly developed interpolators is feasible for transmission of video sequences with CIF format at VLBR (about 32kbit/s) where H.261 is used as the baseline codec. When using the new video transmission standard - H.263, reasonable visual quality can be reached when the transmission rate is 14.4kbit/s