Abstract: The present invention provides a system and method for explicitly transmitting a block attribute in the data of a block. In one embodiment, a current block of data is randomized in accordance with an ID value from the current block and from at least one temporally adjacent block of data. The ID of the current block is selected such that when combined with determined bits of the data results in the value of the block attribute. During a decoding process, the block attribute is retrieved by accessing the determined bits of the data. In one embodiment, the data is then decoded by generating possible candidate decodings and evaluating the candidate decodings based upon confidence metrics.

Abstract: A method comprising determining a past motion class for target data, determining a future motion class for the target data, selecting one of the motion classes, filtering the target data using the selected motion class is disclosede.

Abstract: The present invention provides a method for comprising data by determining a central value that is greater than the minimum value and less than the maximum value of the range of data. In one embodiment, the central value is chosen to be a value that substantially reduces a decoding error in the event that the range of values is subsequently estimated. In one embodiment, the central value is the value that minimizes the expected mean square error during reconstruction when there is an error. In one embodiment, the maximum and minimum values represent intensity data for pixels of an image. In another embodiment, the compression process is Adaptive Dynamic Range Coding, and the central value is a value within the dynamic range, excluding the maximum and minimum values.

Abstract: The present invention provides a system and method for explicitly transmitting a block attribute in the data of a block. In one embodiment, a current block of data is randomized in accordance with an ID value from the current block and from at least one temporally adjacent block of data. The ID of the current block is selected such that when combined with determined bits of the data results in the value of the block attribute. During a decoding process, the block attribute is retrieved by accessing the determined bits of the data. In one embodiment, the data is then decoded by generating possible candidate decodings and evaluating the candidate decodings based upon confidence metrics.

Abstract: The present invention provides a system and method for the time-varying randomization of a signal stream to provide for a robust error recovery. A current block of data is randomized in accordance with data from the current block and data from at least one temporally adjacent block of data. The present invention also provides a system and method for time-varying derandomization of a randomized signal stream and alternately delayed-decoding of the signal stream. Randomized data is derandomized using the current block of data and data from at least one temporally adjacent block. In addition, decoding of the current block and the adjacent block is delayed in order to facilitate recovery of lost or damaged compression parameters of encoded data.

Abstract: The present invention provides a method for comprising data by determining a central value that is greater than the minimum value and less than the maximum value of the range of data. In one embodiment, the central value is chosen to be a value that substantially reduces a decoding error in the event that the range of values is subsequently estimated. In one embodiment, the central value is the value that minimizes the expected mean square error during reconstruction when there is an error. In one embodiment, the maximum and minimum values represent intensity data for pixels of an image. In another embodiment, the compression process is Adaptive Dynamic Range Coding, and the central value is a value within the dynamic range, excluding the maximum and minimum values.

Abstract: The present invention provides a system and method for explicitly transmitting a block attribute in the data of a block. In one embodiment, a current block of data is randomized in accordance with an ID value from the current block and from at least one temporally adjacent block of data. The ID of the current block is selected such that when combined with determined bits of the data results in the value of the block attribute. During a decoding process, the block attribute is retrieved by accessing the determined bits of the data. In one embodiment, the data is then decoded by generating possible candidate decodings and evaluating the candidate decodings based upon confidence metrics.

Abstract: A method, apparatus, and article of manufacture for restoring a deteriorated signal to an undeteriorated signal. A deteriorated signal consists of a plurality of deteriorated and undeteriorated data points. The data signal is preprocessed into a motion compensated signal. For each deteriorated data point, a plurality of class types including a motion vector class is created based upon characteristics of the area containing the deteriorated data point. A motion vector is detected and data is shifted according to the detected motion vector. The data point is classified with respect to one of the plurality of class types and assigned a corresponding input signal class. The undeteriorated signal is generated by adaptively filtering the deteriorated input signal in accordance with the input signal classification result. More than one classification method is used to create the plurality of class types.

Abstract: The present invention provides a system and method for the time-varying randomization of a signal stream to provide for a robust error recovery. A current block of data is randomized in accordance with data from the current block and data from at least one temporally adjacent block of data. The present invention also provides a system and method for time-varying derandomization of a randomized signal stream and alternately delayed-decoding of the signal stream. Randomized data is derandomized using the current block of data and data from at least one temporally adjacent block. In addition, decoding of the current block and the adjacent block is delayed in order to facilitate recovery of lost or damaged compression parameters of encoded data.

Abstract: The present invention includes a system and method for encoding data by altering data of a rotation block by a rotation factor dependent on data of a key block. In one embodiment, the data includes compression parameters that are descriptive of compressed data. In one embodiment, data of the second or rotation block is altered by calculating a rotation factor from data of a first or key block and altering data of second block in accordance with the rotation factor. In another embodiment, the present invention includes a method for recovering data when there are data losses by determining candidate rotation values for full decoding data of the second block and selecting a rotation value from the candidate rotation values corresponding to the first block data.

Abstract: The present invention provides a system and method for the time-varying randomization of a signal stream to provide for a robust error recovery. A current block of data is randomized in accordance with data from the current block and data from at least one temporally adjacent block of data. The present invention also provides a system and method for time-varying derandomization of a randomized signal stream and alternately delayed-decoding of the signal stream. Randomized data is derandomized using the current block of data and data from at least one temporally adjacent block. In addition, decoding of the current block and the adjacent block is delayed in order to facilitate recovery of lost or damaged compression parameters of encoded data.

Abstract: Data is encoded to maximize subsequent recovery of lost or damaged compression parameters of encoded data. In one embodiment, at least one compression parameter is used to define a pseudorandom sequence and the data is shuffled using the pseudorandom sequence. In one embodiment, a bit reallocation process and code reallocation process are performed on the data to randomize the data.

Abstract: A method, apparatus, and article of manufacture for restoring a deteriorated signal to an undeteriorated signal. A deteriorated signal consists of a plurality of deteriorated and undeteriorated data points. For each deteriorated data point, a plurality of class types including a motion vector class is created based upon characteristics of the area containing the deteriorated data point. The data point is classified with respect to one of the plurality of class types and assigned a corresponding input signal class. The undeteriorated signal is generated by adaptively filtering the deteriorated input signal in accordance with the input signal classification result. More than one classification method is used to create the plurality of class types. Created classes may include a motion class, an error class, a spatial class, a spatial activity class, or a motion vector class.