Abstract: A technique is presented for compressing data which leverages the frequency of an escape symbol for better compression. The prefix of a data string is evaluated and the probability of all characters that might succeed it is predicted in tabular form. Symbols are designated “Hit” or “Miss” based upon whether they are in the table. A binary tree is generated by partitioning nodes into Zero and One groups based on a single bit value. A partition bit is chosen to maximize the difference of probability sums of Hit symbols in Zero and One groups, with exceptions for partitions having non Hit symbols in one of the groups. A probability value is assigned to each branch, based on the probabilities of Hit and Miss symbols. Encoding a symbol is facilitated by encoding the branch probabilities on the shortest path from the root to the leaf node containing the symbol using arithmetic encoding.

Abstract: A method and system for capturing live video signal data using bufferless data compression is disclosed. Live video signal data is vertically scaled. A 4:2:2 to 4:2:0 color format conversion is performed simultaneous with the vertical scaling step. A one-dimensional bufferless discrete cosine transform is performed on the scaled live video signal data to create a plurality of scaled DCT coefficients. Each of the plurality of scaled DCT coefficients are then Huffman coded. Each of the Huffman encoded DCT coefficients may then be sent via a USB interface to a USB bus.

Abstract: A method and system for capturing live video signal data using bufferless data compression is disclosed. Live video signal data is vertically scaled. A 4:2:2 to 4:2:0 color format conversion is performed simultaneous with the vertical scaling step. A one-dimensional bufferless discrete cosine transform is performed on the scaled live video signal data to create a plurality of scaled DCT coefficients. Each of the plurality of scaled DCT coefficients are then Huffman coded. Each of the Huffman encoded DCT coefficients may then be sent via a USB interface to a USB bus.

Abstract: A method and apparatus for storing a macroblock from a video data stream is disclosed. A macroblock is received, the macroblock having a plurality of blocks corresponding to a plurality of color space components and having a width defined by a plurality of pixels. According to a first aspect of the present invention, the macroblock is stored in a vertical strip format. According to a second aspect of the present invention, the contents of the plurality of blocks are interleaved. According to a third aspect of the present invention, the contents of the plurality of blocks are interleaved and the macroblock is then stored in a vertical strip format.

Abstract: A method and system for capturing live video signal data using bufferless data compression is disclosed. Live video signal data is vertically scaled. A 4:2:2 to 4:2:0 color format conversion is performed simultaneous with the vertical scaling step. A one-dimensional bufferless discrete cosine transform is performed on the scaled live video signal data to create a plurality of scaled DCT coefficients. Each of the plurality of scaled DCT coefficients are then Huffman coded. Each of the Huffman encoded DCT coefficients may then be sent via a USB interface to a USB bus.

Abstract: A functional magnetic resonance imaging method comprises the steps of:(a) detecting a physiological timing profile;(b) measuring cerebral k-space data to provide cerebral k-space data;(c) ordering the measured cerebral k-space data into a unit cycle based on the detected physiological timing profile;(d) estimating effects on individual k-space points resulting from physiological effects by non-linear least-square fitting to provide estimated physiological effects; and(e) removing the estimated physiological effects from the cerebral k-space data by substraction of the estimated physiological effects from said k-space data.

Abstract: A system for automatically tracking objects through a video sequence uses a method which automatically tracks an object by estimating the location of the object in a subsequent frame, comparing test windows in the subsequent frame with an object window encompassing the object in the original frame, and selecting the best match window which is most similar to the object window. The location of the best match window corresponds to the location of the object in each frame of the video sequence. The resulting location information can be combined with the video sequence to create interactive video applications in which an user of the application can select individual objects in the interactive video sequence.

Abstract: An MR imaging study precedes an MR spectroscopic study. Structural information from the imaging study is combined with MR spectra from the spectroscopic study to produce localized MR spectra.