This paper gives a thorough study on video robust transmission over the noisy channel in wireless network. A novel method to enhance the ability for error resilient video transmission is proposed. In order to obtain better reconstruction quality and enhanced error concealment performance at the decoder with a H.263 baseline function

the block classification and edge orientation information

bit-length value of macro block and other information about current block are organized together in binary form by the encoder as an indicator used for achieving detection

resynchronization and reconstruction of the errors and lost data in received video sequence. A fast classification algorithm based on calculated DCT domain matrix coefficients is employed in the proposed approach to extract numerical classification information and edge orientation value of image blocks. And all these information is imperceptibly embedded into image frame bit-stream by even-odd signaling forcibly of the DCT coefficients which has improved reduction of the visual loss and influence of image caused by modified DCT coefficients with a view of counting coefficient integral difference. Experiments and simulations on typical video sequences show that the proposed approach has a significant improvement in transmission performance against conventional techniques used in standard baseline H.263 encoder and decoder without changing the transmitted bit-stream syntax and increasing computation cost and complexity.