Abstract: A method implemented on an augmented reality (AR) electronic computing device for determining a likelihood of fraudulent content in an advertisement includes receiving a digital image of the advertisement. A dataset of information relating to the advertisement is extracted from the digital image. Content related to the advertisement is identified from the dataset of information. The identified content is used to request identification information regarding the advertisement. The identification information and supplemental information are used to calculate a scam score for the advertisement. The scam score indicates the likelihood of fraudulent content in the advertisement.

Abstract: A method implemented on an augmented reality (AR) device includes receiving an image of a document on the AR device. The image of the document includes one or more areas of obfuscated text. A marker on the document is identified. The marker is associated with an area of obfuscated text on the document. The marker is scanned using the AR device. When the user of the AR device is authenticated, a non-obfuscated image of the text associated with the marker is displayed on the AR device.

Abstract: Systems and methods that enable digital video compression techniques to manage and control artifact presence in each compressed frame of the video clip. Wherein specific embodiments are applicable to interframe and intraframe video compression methods and can be used in the compression of digital images and digital video clips. Other embodiments are employable in digital video compression and are applicable to interframe compression methods. A mechanism to increase the amount of video compression, while maintaining video quality that may otherwise be sacrificed with such increases in video compression, by threshold value management to accommodate the human eye's ability to more readily discern local image features or artifacts at central image locations or focused-upon areas, while tolerating, to a greater extent, artifacts dispersed elsewhere in the image.

Abstract: A frame-differencing based method for coding and decoding color video data suitable for real-time, software-only based decompression and playback in low-end personal computers wherein the computational demands required of a computer microprocessor to implement the method are readily met by microprocessors such as an Intel 80386SX microprocessor running at 16 Mhz. Frame-to-frame differences are detected in a manner analogous to human perception of luminance data, rather than by the differences in the actual numerical video data. This permits greater compression of data without added computational complexity to the decompression process. Image analysis techniques are employed to ameliorate the appearance of the video. A lossless coding method that unifies two separate compressed data entities is used to obtain a greater amount of compression and simultaneously to reduce the computational complexity of the decompression process.

Abstract: A method of quantitatively measuring fidelity of a reproduced image reconstructed from a compressed data representation of an original image is disclosed. The method comprises, responsive to user selection, for establishing a global assessment mode or a local assessment mode. In the global assessment mode changes in luminance of the reproduced image from the original image and changes in color in first and second color difference values of the reproduced image from the original image are used score fidelity. Changes in luminance are measured using a dynamic range, nonlinear transform equation. In the local assessment mode, and responsive to user selection, the reproduced image and the original image are segmented and corresponding pairs of segments from the reproduced image and the original image are identified. Scoring of fidelity of the reproduced image to the original image is done by comparing corresponding pairs of segments in color, luminance, shape, displacement and texture.

Abstract: A process for coding a plurality of compressed video data streams in a time ordered sequence. Each compressed data stream includes coding of frame to frame differences of a video segment, which are represented as a compressed M.times.N exclusive-OR plane of pixel change values and location displacement control values for an output pointer into a decompressed video frame. By coding frame to frame differences in an exclusive-OR values, the replay process is made bidirectional, allowing for both forward and reverse playback of the video segment.

Abstract: A method of converting a digital video signal having a luminance component for each pixel of a frame and two color difference components for contiguous groups of pixels in the frame into a video signal having three color components for each pixel is disclosed. Two color lookup tables are provided, each being indexed by a combination of the luminance level for a pixel and a color difference component for the group including the pixel. Entries in each color lookup table include a component value for one color and a subcomponent contributing to a component value for another color. The method provides combining the luminance components and color difference components for each pixel represented in the compressed digital video signal to retrieve the color component values for the three color video signal. Two colors are extracted directly from the lookup tables. The third color component is generated by combining subcomponent values extracted from the tables.