Tetsujiro Kondo - Kanagawa-Prefecture, JP James J. Carrig - San Jose CA Yasuhiro Fujimori - Cupertino CA William Knox Carey - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics, Inc. - Park Ridge NJ
International Classification:
H04B 166
US Classification:
37524027
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.
Apparatus And Method For The Recovery Of Compression Constants In The Encoded Domain
The system and method of the present invention provides an innovative technique and efficient hardware structure for recovering lost or damaged (lost/damaged) compression constants in the encoded domain. In one embodiment, a lost/damaged compression constant is recovered by estimating a compression constant of the block using encoded data of at least one neighboring block of data and other recoverable compression constants of the block.
Source Code Shuffling To Provide For Robust Error Recovery
Tetsujiro Kondo - Kanagawa-Prefecture, JP Yasuhiro Fujimori - Cupertino CA William Knox Carey - San Jose CA James J. Carrig - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics, Inc. - Park Ridge NJ
International Classification:
G06F 1100
US Classification:
714701, 714762, 714788
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.
Method And Apparatus For Preprocessing For Peripheral Erroneous Data
Tetsujiro Kondo - Kanagawa-Prefecture, JP Yasuhiro Fujimori - Cupertino CA Sugata Ghosal - San Jose CA James J. Carrig - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics, Inc. - Park Ridge NJ
International Classification:
G11C 2900
US Classification:
714764, 382261, 708300
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. The deteriorated input signal is modified by preprocessing peripheral erroneous data.
Method And Apparatus For Encoding Of Bitstreams Using Rotation
Tetsujiro Kondo - Kanagawa-Prefecture, JP James J. Carrig - San Jose CA Yasuhiro Fujimori - Cupertino CA William Knox Carey - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics Inc. - Park Ridge NJ
International Classification:
G06F 1100
US Classification:
714746, 714701
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.
Time-Varying Randomization For Data Synchronization And Implicit Information Transmission
Tetsujiro Kondo - Kanagawa-Prefecture, JP Yasuhiro Fujimori - Cupertino CA William Knox Carey - San Jose CA James J. Carrig - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics, Inc. - Park Ridge NJ
International Classification:
H03M 1300
US Classification:
714752, 714761
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.
Resolution Enhancement By Nearest Neighbor Classified Filtering
Tetsujiro Kondo - Kanagawa-Prefecture, JP Yasuhiro Fujimori - Cupertino CA James J. Carrig - San Jose CA
Assignee:
Sony Corporation - Tokyo Sony Electronics, Inc. - Park Ridge NJ
International Classification:
G06K 940
US Classification:
382260, 382261, 382299
Abstract:
A method and apparatus for enhancing image resolution by determining a nearest neighbor class for an input image vector from a plurality of spatial classes are disclosed. In one embodiment, the nearest neighbor class is determined by first receiving the input image vector that is to be classified into one of several spatial classes. Each spatial class has a corresponding normalized mean class vector. The input image vector is normalized. Then, the weighted distances from the normalized image vector to each normalized mean class vector are determined. The class vector which is the nearest neighbor class to the input image vector is determined based on the weighted distances. A filter corresponding to the nearest neighbor class is applied to the input image vector to enhance the resolution of the image.
Tetsuiiro Kondo - Kanagawa Prefecture, JP Yasuhiro Fujimori - Cupertino CA Sugata Ghosal - San Jose CA James J. Carrig - San Jose CA
Assignee:
SOny Corporation - Tokyo Sony ELectronics Inc. - Park Ridge NJ
International Classification:
G06K 940
US Classification:
382261, 382275, 348607, 348241, 348208
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. An adaptive tap structure may optionally be used based on the corresponding plurality of class types. Filter tap expansion is used to reduce the number of filter coefficients.