In the last decade, as the demand of video transmission over communication network grows rapidly, the algorithms and technologies in video processing have significant improvement. In order to achieve good coding efficiency, the temporal and spatial redundancies in video are removed by compression schemes, such as motion compensated prediction and discrete cosine transform. On the other hand, these coding schemes make the encoded video very sensitive to the transmission error. Even single bit error in transmission may cause obvious degradation of video quality. To alleviate the effect of the transmission error, many error resilient algorithms have been developed. In this thesis, many popular error resilient algorithms have been studied, and several new error control methods are proposed for the new coding standard H.264, which supports many new video applications. There are three parts in the thesis. In Part I that includes Chapter 1 and 2, an introduction about the fundamentals of video coding is presented. The codec of H.263 is used as an example to illustrate how to compress the digital video into a bitstream. Then the new coding standard H.264 is introduced, since some new coding techniques are adopted in this coding standard. In Chapter 2, many efficient error resilient methods are reviewed.