H.264 Advanced video coding is the newest video coding technique for wireless transmission. Video when transmitted over a network is susceptible to channel errors. In order to increase the robustness of the video new error resilient techniques are required. Hence a desired video codec has to accommodate the contradictory requirements which are coding efficiency, robustness to data loss as well as other limitations such as memory, bandwidth and complexity. My thesis is the study of prioritization scheme in H.264 video encoded packets over wireless networks. The objective of this research is to efficiently exploit the existing error resiliency features in H.264 like Data Partition, Flexible Macroblock Ordering, Constrained Intra Prediction, slice structure to come up with a priority scheme. Classification of macroblocks into slice groups is based on a variation of H.264/AVC checker board pattern and Cumulative Mean Square Error (CMSE) of a macroblock scheme to transport packets based on their importance in decoding a video and also in playback. In my thesis different combination of loss patterns are studied. Losses in different frames are induced by prioritizing the slices on the CMSE value. PSNR values are used as a measurement of quality of the video. The different video sequences are chosen to get a wide range of results and to get a better insight of the importance of slices in the sequence.