Abstract: Systems, methods, and other embodiments associated with increasing face detection speed are described. One example method includes determining whether to control a face detection process to selectively perform a face detection in a patch in a digital image. The face detection may be based, at least in part, on determining whether the patch overlaps a face previously identified by the face detection process. The example method may also include providing a signal to control the face detection process to perform the face detection upon determining that a patch overlap does not exceed an overlap factor.

Abstract: Embodiments of an object detection unit configured to modify parameters for one or more object detectors based on detection information are provided.

Abstract: Provided is a multimedia presentation apparatus comprising: a playback module operable to playback multimedia content; a sensor module operable to measure a characteristic of the behavior of at least one individual in an audience indicative of attention paid by the at least one individual to the multimedia content; a processing module for determining a state of the audience based on the characteristic of the at least one individual, and for selecting multimedia content for playback based on the state of the audience.

Abstract: A method for a digital printing press includes estimating a developer voltage by applying a developer voltage estimation model to measurements of state parameters of the digital printing press.

Abstract: A system for pricing advertising includes an electronic video display disposed in an advertising venue, wherein the display is configured to display advertising; a sensor configured to sense a number of people in an audience of the electronic video display; and a processing element for determining pricing for the advertising. The pricing for the advertising is determined based on the number of people in the audience. A method of pricing advertising, the method includes determining a number of people in an audience of an electronic video display disposed at an advertising venue on which the advertising is displayed; and determining pricing of the advertising based on the number of people in the audience.

Abstract: Systems and methods of face and skin sensitive image enhancement are disclosed. In one aspect, a face map that includes for each pixel of an input image a respective face probability value indicating a degree to which the pixel corresponds to a human face is calculated. A skin map that includes for each pixel of the input image a respective skin probability value indicating a degree to which the pixel corresponds to human skin is ascertained. The input image is enhanced with an enhancement level that varies pixel-by-pixel in accordance with the respective face probability values and the respective skin probability values. In another aspect, a facial content measurement value indicating a degree to which an input image contains human face content is ascertained. A tone-correction process is tuned in accordance with the facial content measurement value. The input image is enhanced in accordance with the tuned tone-correction process.

Abstract: A method of annotating audio-visual data is disclosed. The method includes detecting a plurality of facial expressions in an audience based on a stimulus, determining an emotional response to the stimulus based on the facial expressions and generating at least one annotation of the stimulus based on the determined emotional response.

Abstract: A neural network is trained with input data. The neural network is used to rescale the input data. Errors for the rescaled values are determined, and neighborhoods of the errors are used adjust connection weights of the neural network.

Abstract: A method of pre-processing an image to identify processes for subsequent processing of the image, comprising the steps of: a) investigating portions of the image using a spatial filter; b) calculating for a first plurality of regions within a portion of the image under investigation respective metrics as a function of intensity within those regions; c) selecting combinations of regions within the portion of the image under investigation and processing them to obtain a second plurality of filter values, where the second plurality is greater than the first plurality; and d) comparing the filter values with process thresholds for subsequent processes so as to identify subsequent processes that can be skipped.

Abstract: Detectors capable of accurately detecting and tracking moving features of such as faces within a video stream are sometimes too slow to be run in real-time. The present invention rapidly scans video footage in real-time and generates a series of preattemptive triggers indicating the frames and locations within the frames at our deserving of further investigation by a sub real-time detector. The triggers are generated by looking for peaks in a time variant measure such as the amount of symmetry within a frame or portion of a frame.

Abstract: A method of tracking an object such as a face in a video stream comprises running an object detector at a plurality of locations on a first frame, defining a coarse grid. This is repeated for second and subsequent frames, with the grid slightly offset each time so that, ultimately, all of the points on a fine grid are covered but in several passes. When an object such as a face is located on one frame, positional and/or scale information is propagated to the next frame to assist in the tracking of that object onto the next frame.

Abstract: A method for a digital printing press includes estimating a developer voltage by applying a developer voltage estimation model to measurements of state parameters of the digital printing press.

Abstract: A neural network is trained with input data. The neural network is used to rescale the input data. Errors for the rescaled values are determined, and neighborhoods of the errors are used adjust connection weights of the neural network.

Abstract: A display page processing device includes at least one input device, a processor, and a memory. The memory includes a display pages storage area, a most-recently-visited pages storage area, a most-likely-to-be-visited pages storage area, and a number-of-pages-to-be-loaded variable storage area. The processor uses a most-recently-visited pages information from the most-recently-visited pages storage area, a most-likely-to-be-visited pages information from the most-likely-to-be-visited pages storage area, and a number-of-pages-to-be-loaded variable from the number-of-pages-to-be-loaded variable storage area in order to fetch and/or store two or more display pages to the display pages storage area.

Abstract: The present invention generally provides methods and systems for printing. A statistical learning system is used to determine dot gain.

Abstract: A method of quickly and automatically comparing a new document to a large number of previously seen documents and identifying the document type. First, provide a plurality of document type distributions, each document type distribution describes layout characteristics of an independent document type and may include a plurality of data points. Each document type distribution includes data derived from at least one basis document signature which may include data defining pixels of a low-resolution image of the independent basis document resolved to between 1 and 75 dots per inch or may include document segmentation data derived from the independent basis document. Next provide a new electronic document. Then create new document signature from the new electronic document. Next, distances between the new document signature and each of the plurality of document type distributions are calculated using an algorithm based on a Bayesian framework for a Gaussian distribution.

Abstract: A method of automatically extracting metadata from a document. The method of the invention provides a computer readable document that includes blocks comprised of words, an authority list that includes common uses of a set of words, and a neural network trained to extract metadata from groupings of data called compounds. Compounds are created with one compound describing each of the blocks. Each compound includes the words making up the block, descriptive information about the blocks, and authority information associated with some of the words. The descriptive information may include such items as bounding box information, describing the size and position of the block, and font information, describing the size and type of font the words of the block use. The authority information is located by comparing each the words from the block to the authority list.