In order to improve the video quality of transmission with data loss,a spatial and temporal error concealment method was proposed,which considered both the state information of the network and the perceptual weight of...In order to improve the video quality of transmission with data loss,a spatial and temporal error concealment method was proposed,which considered both the state information of the network and the perceptual weight of the video content.The proposed method dynamically changed the reliability weight of the neighboring macroblock,which was used to conceal the lost macroblocks according to the packet loss rate of the current channel state.The perceptual weight map was utilized as side information to do weighted pixel interpolation and side-match based motion compensation for spatial and temporal error concealment,respectively.And the perceptual weight of the neighboring macroblocks was adaptively modified according to the perceptual weight of the lost macroblocks.Compared with the method used in H.264 joint model,experiment results show that the proposed method performs well both in subjective video quality and objective video quality,and increases the average peak signal-to-noise ratio(PSNR) of the whole frame by about 0.4 dB when the video bitstreams are transmitted with packets loss.展开更多
The weighted reliability of network is defined as the sum of the multiplication of the probability of each network state by its normalized weighting factor.Under a certain state, when the capacity from source s to sin...The weighted reliability of network is defined as the sum of the multiplication of the probability of each network state by its normalized weighting factor.Under a certain state, when the capacity from source s to sink t is larger than the given required capacity C r, then the normalized weighting factor is 1, otherwise, it is the ratio of the capacity to the required capacity C r. This paper proposes a new algorithm for the weighted reliability of networks, puts forward the concept of saturated state of capacity, and suggests a recursive formula for expanding the minimal paths to be the sum of qualifying subsets. In the new algorithm, the expansions of the minimal paths dont create the irrelevant qualifying subsets, thus decreasing the unnecessary expanding calculation. Compared with the current algorithms, this algorithm has the advantage of a small amount of computations for computer implementation.展开更多
基金Project(2006C11200) supported by the Science and Technology Project of Zhejiang Province of China
文摘In order to improve the video quality of transmission with data loss,a spatial and temporal error concealment method was proposed,which considered both the state information of the network and the perceptual weight of the video content.The proposed method dynamically changed the reliability weight of the neighboring macroblock,which was used to conceal the lost macroblocks according to the packet loss rate of the current channel state.The perceptual weight map was utilized as side information to do weighted pixel interpolation and side-match based motion compensation for spatial and temporal error concealment,respectively.And the perceptual weight of the neighboring macroblocks was adaptively modified according to the perceptual weight of the lost macroblocks.Compared with the method used in H.264 joint model,experiment results show that the proposed method performs well both in subjective video quality and objective video quality,and increases the average peak signal-to-noise ratio(PSNR) of the whole frame by about 0.4 dB when the video bitstreams are transmitted with packets loss.
文摘The weighted reliability of network is defined as the sum of the multiplication of the probability of each network state by its normalized weighting factor.Under a certain state, when the capacity from source s to sink t is larger than the given required capacity C r, then the normalized weighting factor is 1, otherwise, it is the ratio of the capacity to the required capacity C r. This paper proposes a new algorithm for the weighted reliability of networks, puts forward the concept of saturated state of capacity, and suggests a recursive formula for expanding the minimal paths to be the sum of qualifying subsets. In the new algorithm, the expansions of the minimal paths dont create the irrelevant qualifying subsets, thus decreasing the unnecessary expanding calculation. Compared with the current algorithms, this algorithm has the advantage of a small amount of computations for computer implementation.
