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Bandwidth-efficient image degradation and enhancement model for multi-camera telepresence environments

Multi-camera telepresence systems, used for remote collaboration, face the problem of transmitting large amount of dynamic data generated from multiple viewpoints. This problem becomes even more critical when the practical issue of bandwidth limitation comes into play. Even if the data stream can be reduced by different strategies such as dynamic camera selection or semantic scene based stream compression, the transmitted data is still too large for the available bandwidth. We propose a degradation strategy as a preprocess to classical video compression schemes for the non-key frames (NKF) and two color image enhancement strategies which aid to enhance the NKFs with the information stored in the non-degraded key-frames (KF). We reduce the amount of color information of the NKFs at the acquisition site and keep the KFs intact. Experimental results show that our strategy helps to reduce the data stream to be transmitted from multiple cameras from the acquisition site to the receiver site at low bitrates and at the same time, improves the compression rate of the encoder.