Patent application number | Description | Published |
20080212885 | SCALING DOWN OF DATA - The scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved. In addition, the de-quantization of the quantized transform coefficients may be accomplished by pre-multiplication of the selected constants when the quantization values are known. In a similar way the re-quantization may be accomplished by a pre-division of the selected constants. Both de-quantization and re-quantization may be combined when the input quantized transform coefficients and output quantized transform coefficients are desired. | 09-04-2008 |
20080252495 | System and program for using a reentry data set to decode compressed data - Provided are a method, system, and program for decoding compressed data. Compressed data is received and decoded. An error is detected while decoding a first location in the compressed data. A reentry data set is accessed having a pointer to a second location in the compressed data following the first location and decoding information that enables decoding to start from the second location. The second location in the compressed data is accessed and the decoding information in the accessed reentry data set is used to continue decoding the compressed data from the second location. | 10-16-2008 |
20080273808 | FASTER TRANSFORMS USING EARLY ABORTS AND PRECISION REFINEMENTS - Fast transforms that use early aborts and precision refinements are disclosed. When to perform a corrective action is detected based upon testing the incremental calculations of transform coefficients. Corrective action is then performed. The corrective action includes refining the incremental calculations to obtain additional precision and/or aborting the incremental calculations when the resulting numbers are sufficient. | 11-06-2008 |
20080273814 | SCALING OF MULTI-DIMENSIONAL DATA IN A HYBRID DOMAIN - At least a system and data structure for the scaling of data is provided. An exemplary use of the disclosed embodiments involves the scaling up in size or the scaling down in size of computer images. n-dimensional transformed data representing some original n-dimensional real data is received. An m-dimensional inverse transform on the n-dimensional transformed data is performed to produce hybrid data, where 1≦m11-06-2008 | |
20090060358 | SYSTEM AND COMPUTER READABLE MEDIUM FOR THE SCALING DOWN OF DATA - The scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved. In addition, the de-quantization of the quantized transform coefficients may be accomplished by pre-multiplication of the selected constants when the quantization values are known. In a similar way the re-quantization may be accomplished by a pre-division of the selected constants. Both de-quantization and re-quantization may be combined when the input quantized transform coefficients and output quantized transform coefficients are desired. | 03-05-2009 |
20090141991 | System and article of manufacture for using a reentry data stet to decode compressed data - Provided are a method, system, and program for decoding compressed data. Compressed data is received and decoded. An error is detected while decoding a first location in the compressed data. A reentry data set is accessed having a pointer to a second location in the compressed data following the first location and decoding information that enables decoding to start from the second location. The second location in the compressed data is accessed and the decoding information in the accessed reentry data set is used to continue decoding the compressed data from the second location. | 06-04-2009 |
20100017427 | Multilevel Hierarchical Associations Between Entities in a Knowledge System - A computer implemented method, data processing system, and computer program product for managing multilevel hierarchical structured information in disparate knowledge repositories. An association data structure is created for an entity as metadata in a metadata repository. The association data structure is populated with association information about the entity. A process data structure is created for the entity as metadata in the metadata repository. The process data structure is populated with process information about the entity. Information about a multi-phased process is then collected by extracting process information from each entity of the multi-phased process across the disparate knowledge repositories. The collected information comprising information about the multi-phased process is then stored in the process data structure in the metadata repository. | 01-21-2010 |
20100114978 | Methodology for the Automatic Capture of Process Information in Federated Knowledge Systems - A mechanism for automatically managing process information stored in federated repositories. When practice requirements are collected for a multi-step process, a process metadata data structure comprising process information conforming to the practice requirements is created in a metadata repository. The structure is created by creating a template document for each task in the multi-step process and populating the template documents with the procedure information in the practice requirements. Hierarchical and horizontal associations are created among the template documents based on the execution order of the tasks in the procedure information. Process documents for each task in the multi-step process are created and populated with information about the tasks. The task information, procedure information, and association information for each task is then stored as metadata in the process metadata structure. | 05-06-2010 |