116 results about "Index mapping" patented technology

Provided is a method for decoding video, which performs prediction in an intra mode. The method for decoding video according to the invention comprises steps of: creating a current table index using a code number and MPM index information; and deriving a current prediction mode by adopting an index mapping table in the current table index. According to the present invention, video encoding / decoding efficiency can be improved.

The present invention relates to a method and system for compressing a continuous data flow in real-time based on lossy compression. In real-time data compression, a series of multi-dimensional data subsets acquired in a given period of time are treated as a regional data cube for the purpose of dividing a continuous series of data subsets into a plurality of data cubes. In a first embodiment implementation of parallel processing using a plurality of compression engines is facilitated by separating a data cube into a plurality of clusters comprising similar spectral vectors. By separating the data cube into clusters of similar spectral vectors no artificial spatial boundaries are introduced substantially improving image quality. Furthermore, the spectral vectors within a cluster are more easily compressed due to their similarity. In a second embodiment a predetermined number of 2D focal plane frames in a boundary area of a previous regional data cube close to a current regional data cube are included in a training set used for codevector training for the current region. Therefore, no artificial boundary occurs between the two adjacent regions when codevectors trained in this way are used for codebook generation and encoding of the spectral vectors of the current regional data cube substantially reducing image artifacts between adjacent regions. A remedy for the single bit error problem is provided in a third embodiment. Full redundancy of compressed data for a regional data cube is obtained by combining the previous regional data cube and the current regional data cube for codebook training. In order to obtain redundancy for the index map, the codebook is used to encode the current regional data cube as well as the previous regional data cube producing a baseline index map for the current regional data cube and a redundant index map for the previous regional data cube. Therefore, full redundancy for a regional data cube is provided allowing restoration of a regional data cube if its codebook and / or index map are corrupted or lost due to single bit errors.

By mapping leaf nodes of a spatial index to processing elements, efficient distribution of workload in an image processing system may be achieved. In addition, processing elements may use a thread table to redistribute workload from processing elements which are experiencing an increased workload to processing elements which may be idle. Furthermore, the workload experienced by processing elements may be monitored in order to determine if workload is balanced. Periodically the leaf nodes for which processing elements are responsible may be remapped in response to a detected imbalance in workload. By monitoring the workload experienced by the processing elements and remapping leaf nodes to different processing elements in response to unbalanced workload, efficient distribution of workload may be maintained. Efficient distribution of workload may improve the performance of the image processing system.

A system and method for detecting and evaluating structural defects are provided. Baseline data representative of sensed ultrasonic waves that were transmitting into a structure with no defects are stored. Ultrasonic waves are transmitted into the structure from a plurality of actuators that are coupled to the structure. The ultrasonic waves that are transmitted into the structure from the plurality of actuators are sensed, with a plurality of sensors that are coupled to the structure and spaced apart from the actuators, to thereby generate and supply sensor data. Signal difference coefficients are calculated from the baseline data and the sensor data. The calculated signal difference coefficients are spatially mapped to detect one or more structural defects in the structure.