Abstract: A data embedding technique that adds a watermark in the form of embedded data in the RGB domain in a duplex color laser printer. The data embedding algorithm employs a two-color (cyan and magenta) patch based coding scheme. Each bit of raw data is coded by a rectangular patch (“data area”) of either cyan or magenta color surrounded by white space (“space area”). The combination of a single data area and corresponding space area is a “data cell”.

Abstract: A method for creating a summary of an audiovisual presentation initiates with segmenting a frame of the audiovisual presentation. Then, a slide region of the segmented frame is identified. Next, a histogram representing lines in the slide region is generated. Next, moving regions associated with successive frames from the histogram are suppressed. A computer readable medium, a system for providing a real time summarization of a meeting and an integrated circuit are also provided.

Abstract: A data embedding technique that adds a watermark in the form of embedded data in the RGB domain in a duplex color laser printer. The data embedding algorithm employs a two-color (cyan and magenta) patch based coding scheme. Each bit of raw data is coded by a rectangular patch (“data area”) of either cyan or magenta color surrounded by white space (“space area”). The combination of a single data area and corresponding space area is a “data cell”.

Abstract: An improved feature set and accompanying image-content-based management/search method/algorithm enable fast and effective searching of a collection of digital color images to identify a particular image or group of images. The feature set, which is designed for EXIF formatted thumbnail color images, is derived from select transform (e.g., DCT) coefficients of the individual color components of the searched images. The feature set comprises color features, edge features, and texture features including texture-type, texture-scale and texture-energy. The feature set of a query image is compared to the feature sets of images in the relevant search range to identify all similar images.

Abstract: A method for creating a summary of an audiovisual presentation initiates with segmenting a frame of the audiovisual presentation. Then, a slide region of the segmented frame is identified. Next, a histogram representing lines in the slide region is generated. Next, moving regions associated with successive frames from the histogram are suppressed. A computer readable medium, a system for providing a real time summarization of a meeting and an integrated circuit are also provided.

Abstract: A technique is provided that identifies screen and non-screen regions of a projected or displayed image to smooth and selectively remove moiré from the screen regions while maintaining sharpness in the non-screen regions. Each pixel in the image is classified as a screen or non-screen pixel and then pixels in a predetermined surrounding area of each pixel are examined to check the classification of that pixel. A low pass filter is applied to pixels in the image, such that, when the low pass filter is applied, a center of the low pass filter is selectively shifted relative to a current pixel based on the examination.

Abstract: A technique is provided that identifies screen and non-screen regions of a projected or displayed image to smooth and selectively remove moiré from the screen regions while maintaining sharpness in the non-screen regions. Each pixel in the image is classified as a screen or non-screen pixel and then pixels in a predetermined surrounding area of each pixel are examined to check the classification of that pixel. A low pass filter is applied to pixels in the image, such that, when the low pass filter is applied, one or more pixels covered by the low pass filter are respectively replaced by one or more other pixels covered by the low pass filter based on the examination.

Abstract: Color processing architecture and algorithms (CPAA) for color laser printers process and handle incoming RGB image data effectively to achieve high performance, high quality image printing with low memory requirements. CPAA supports a new data structure for faster raster operation processing (ROP) for color laser printers. The CPAA architecture advantageously improves the flow of data through the processing pipeline to provide high speed at higher resolutions, e.g., at 600 and 1200 dpi. An advance quantizer using multilevel dithering flexibly reduces bits to support fast ROP and to enable fast conversion to CMYK data with only a simple look-up table (LUT) operation by a color matching module, while an adaptive filter maintains high image quality.

Abstract: Color processing architecture and algorithms (CPAA) for color laser printers process and handle incoming RGB image data effectively to achieve high performance, high quality image printing with low memory requirements. CPAA supports a new data structure for faster raster operation processing (ROP) for color laser printers. The CPAA architecture advantageously improves the flow of data through the processing pipeline to provide high speed at higher resolutions, e.g., at 600 and 1200 dpi. An advance quantizer using multilevel dithering flexibly reduces bits to support fast ROP and to enable fast conversion to CMYK data with only a simple look-up table (LUT) operation by a color matching module, while an adaptive filter maintains high image quality.

Abstract: A technique is provided that identifies screen and non-screen regions of a projected or displayed image to smooth and selectively remove moiré from the screen regions while maintaining sharpness in the non-screen regions. Each pixel in the image is classified as a screen or non-screen pixel and then pixels in a predetermined surrounding area of each pixel are examined to check the classification of that pixel. A low pass filter is applied to pixels in the image, such that, when the low pass filter is applied, a center of the low pass filter is selectively shifted relative to a current pixel based on the examination.

Abstract: A technique is provided that identifies screen and non-screen regions of a projected or displayed image to smooth and selectively remove moiré from the screen regions while maintaining sharpness in the non-screen regions. Each pixel in the image is classified as a screen or non-screen pixel and then pixels in a predetermined surrounding area of each pixel are examined to check the classification of that pixel. A low pass filter is applied to pixels in the image, such that, when the low pass filter is applied, one or more pixels covered by the low pass filter are respectively replaced by one or more other pixels covered by the low pass filter based on the examination.