Video compression strategy consists of a tacit tradeoff of the spatial redundancy, whose spatial singularities are captured efficiently in terms of zero-phase symmetric wavelet transform (WT)
subband coefficients, with their temporal redundancy. On the other hand, the redundancy is robust under noisy channel, and furthermore, an over reduction spatially may hurt the temporal correspondence principle yielding a large frame rate reduction. The video error resilient codes are built upon the single frame error resilient codes, which must have known positions partitioned carefully in order to protect against wireless channel errors during transmission of the discrete WT coefficients. These coefficients have been compressed based on the traditional compression scheme using scalar quantization, runlength, and Huffman coding. The discrete WT biorthogonal (7, 9) wavelet is used. The code is illustrated with relatively good performance for (480348038 bits) forward-looking infrared images, compressed at up to 0.09 bits per pixel, and bit error rates at about 1023. Furthermore, in this paper we adopt the single frame error resilient coding and extend to video multiple frames with the help of frame error concealment techniques. An attempt is made to perform decompression error concealment, which is an interpolation from neighborhood in space and time.