Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although wireless and IP-based access to video content gives a new degree of freedom to the viers, the risk of severe block losses caused by transmission errors is always present. The purpose of this paper is to present a new method for concealing block losses in erroneously received video sequences. For this, a motion compensated data set is generated around the lost block. Based on this aligned data set, a model of the signal is created that continues the signal into the lost areas. Since spatial as ll as temporal informations are used for the model generation, the proposed method is superior to methods that use either spatial or temporal information for concealment. Furthermore it outperforms current state of the art spatio-temporal concealment algorithms by up to 1.4 dB in PSNR.
['Jurgen Seiler', 'Andre Kaup']
I am writing a research paper on a idea Motion Compensated Frequency Selective Extrapolation for error concealment in video coding
[{"from": "human", "value": "I am writing a research paper on a idea Motion Compensated Frequency Selective Extrapolation for error concealment in video coding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although wireless and IP-based access to video content gives a new degree of freedom to the viers, the risk of severe block losses caused by transmission errors is always present. The purpose of this paper is to present a new method for concealing block losses in erroneously received video sequences. For this, a motion compensated data set is generated around the lost block. Based on this aligned data set, a model of the signal is created that continues the signal into the lost areas. Since spatial as ll as temporal informations are used for the model generation, the proposed method is superior to methods that use either spatial or temporal information for concealment. Furthermore it outperforms current state of the art spatio-temporal concealment algorithms by up to 1.4 dB in PSNR."}]