Abstract: A system and method for buffering a plurality of divisions of a signal prior to transmission of the signal is disclosed. The buffering is configured to prevent error propagation during decoding of the transmitted signal. A set of encoding levels at a transmission rate is selected from a threshold table having a plurality of encoding levels. Each set of encoding levels includes a plurality of ranges configured to select encoding bits. Each division of the signal is encoded using the set of encoding levels. In one embodiment, this is used in the transmission of video signals over a potentially lossy communications channel.

Abstract: A system and method for receiving damage data in a bitstream of encoded data is disclosed. A plurality of candidate decodings for a plurality of blocks are generated. A measure is generated for each block based upon at least an image portion of the candidate decodings. Compatibility is determined between adjacent blocks of the plurality of blocks. A candidate decoding is selected based upon the measure and the compatibility of adjacent blocks. In one embodiment, this is used in the transmission of video signals over a potentially lossy communications channel.

Abstract: A system and method for decoding a signal comprising fixed-length data (FL-data) and variable length data (VL-data) is disclosed. In one embodiment, groups of fixed length data (FL-data) and blocks of variable length data (VL-data) are stored in a predetermined space. Each group of FL-data corresponds to a block of VL-data. The blocks of VL-data are retrieved by referencing corresponding groups of FL-data. In one embodiment, this system and method permits bidirectional recovery of data. In one embodiment, this is used in the transmission of video signals over a potentially lossy communications channel.

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 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 or a spatial activity class. The filter taps are selected adaptively according to the plurality of class types. The filter taps may be selected adaptively according to the motion and error class.

Abstract: The system and method of the present invention provides an innovative technique for recovering lost or damaged (lost/damaged) compression constants in the encoded domain. In one embodiment, a lost/damaged compression constant is recovered by determining at least one candidate compression constant, adjusting encoded data to a common scale, scoring the candidate compression constant using the adjusted encoded data and selecting the candidate compression constant with the best score as the recovered compression constant.

Abstract: Data is encoded to maximize subsequent recovery of lost or damaged compression constants of encoded data. In one embodiment, a compression constant is used to define a randomization pattern and the data is randomized using the randomization pattern. In one embodiment, a bit reallocation process and code reallocation process are performed on the data to randomize the data.

Abstract: A system and method for recovering lost/damaged attribute data in a bitstream of encoded data comprising attribute data and encoded sample data is disclosed. The decoded neighboring data is retrieved and lost/damaged attribute data is estimated using the encoded sample data, the decoded neighboring data, and available attribute data. In one embodiment, this is used in the transmission of video signals over a potentially lossy communications channel.

Abstract: An apparatus, method, and computer-readable medium for selectively performing, in parallel structures, different classified adaptive processes on an input image, sound data or other correlated data. An input is configured to receive the input data. A class generator is coupled to the input and configured to generate a multiple class ID for each classified adaptive process based upon the input data and a control signal. A filter tap selector is coupled to the input and the class generator. The filter tap selector is configured to select filter tap data for each classified adaptive process based upon the input data, the control signal, and the multiple class ID. A coefficient memory is coupled to the class generator and configured to provide coefficient data for each classified adaptive process for each data based upon the control signal and the multiple class ID. A filter is coupled to the filter tap selector and the coefficient memory.

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 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 or a spatial activity class. An adaptive class tap structure is used to create the plurality of class types for improvement of classification quality.