Abstract: Gain Saturation (GS) for MRFME is where searching in more previous frames offers very limited or even no performance gain. Similarly, gain aggregation (GA) is where significant gain can be obtained by searching more frames. By dynamically determining, while encoding, if either condition applies, and changing the search range accordingly, complexity is reduced and speed can be increased.

Abstract: System and methodologies are provided herein for reconstructing a video signal from multiple video streams. Various aspects described herein can utilize a least square estimate (LSE) algorithm to jointly decode multiple video bitstreams that are generated from a common original video sequence at different bit rates. As described herein, the LSE algorithm can reconstruct an original video sequence by determining and computing a weighted sum of collocated video information reconstructed from different video bitstreams. The weights applied can be adaptively determined to minimize the mean square error (MSE) of the reconstructed video sequence as compared to the original.

Abstract: An apparatus and method for joint reconstruction of multiple data streams is provided. An MD encoder can include a plurality of sub-encoders for encoding an input signal into a plurality of unique descriptions based on linear transformations and quantization of the input signal. An MD decoder can decode a plurality of unique descriptions associated with at least one input signal by utilizing a plurality of sub-decoders. Each sub-decoder can decode the plurality of unique descriptions based on coding noise variance and a coding error correlation coefficient associated with the plurality of unique descriptions. The MD decoder can include a joint reconstruction component that reconstructs the at least one input signal based on, at least in part, extracting a unique coding characteristic associated with each description of the plurality of unique descriptions and estimating a weighting factor for each description of the plurality of unique descriptions.

Abstract: Gain Saturation (GS) for MRFME is where searching in more previous frames offers very limited or even no performance gain. Similarly, gain aggregation (GA) is where significant gain can be obtained by searching more frames. By dynamically determining, while encoding, if either condition applies, and changing the search range accordingly, complexity is reduced and speed can be increased.

Abstract: System and methodologies are provided herein for reconstructing a video signal from multiple video streams. Various aspects described herein can utilize a least square estimate (LSE) algorithm to jointly decode multiple video bitstreams that are generated from a common original video sequence at different bit rates. As described herein, the LSE algorithm can reconstruct an original video sequence by determining and computing a weighted sum of collocated video information reconstructed from different video bitstreams. The weights applied can be adaptively determined to minimize the mean square error (MSE) of the reconstructed video sequence as compared to the original.