Patents by Inventor Ya-Ti Peng

Ya-Ti Peng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20110216985
    Abstract: System, method, and computer program product to adaptively blend the interpolation results from an 8-tap Lanczos filter and the interpolation results from a bilinear filter, according to the local transitions of the input content. Artifacts may occur, which may be identified as such and corrected. Pixels that represent artifacts in the blended image may be replaced with the pixel for that location taken from the bilinear interpolation.
    Type: Application
    Filed: March 5, 2010
    Publication date: September 8, 2011
    Inventors: Ya-Ti Peng, Yi-Jen Chiu
  • Publication number: 20100008427
    Abstract: Techniques are described that can be used to either compress or expand video. Color compression techniques are described that can be used to compress the wide color gamut content into lower color gamut for inclusion in a baseline layer. Color expansion techniques are described that convert lower color gamut data into wider color gamut format for inclusion in an enhancement layer. Both of the baseline video stream and enhancement layer video streams may be transmitted through a channel or stored in a memory device to be viewed later. Accordingly, both baseline and enhancement video layers are available so that either lower or higher quality displays can be used to display video.
    Type: Application
    Filed: September 11, 2008
    Publication date: January 14, 2010
    Inventors: Yi-Jen Chiu, Hong Jiang, Lidong Xu, Ya-Ti Peng
  • Publication number: 20090265297
    Abstract: A method is provided for selecting features for classification that trades classification efficiency for computational resources. The method includes ranking a plurality of features of a training set according to how closely they are correlated to their corresponding classifications, receiving sensor data including a plurality of features, and selecting a subset of the features of the sensor data, according to the ranking of the features of the training data such that a computational resource cost of the subset is less than a predefined computational resource maximum and the degree of utility achieved by a classification of the subset of features by a selected classifier is optimized and exceeds a predefined utility minimum.
    Type: Application
    Filed: April 21, 2008
    Publication date: October 22, 2009
    Inventors: Archan Misra, Ya-Ti Peng, Daby Mousse Sow