Abstract: Method for inserting a barcode image in a document including receiving a request to encode one or more properties about the document as a barcode image in the document, the request being received through a document editor, generating the barcode image based on the properties, wrapping the barcode image inside a container object, and inserting the container object into the document.

Abstract: Described is an image centric advertisement platform and technology in which input images are matched to advertisements based on actual visible content (e.g., corresponding to features) within the image. Advertisers upload and bid on advertiser-provided images that correspond to advertisements. When an input image is received, such as a result of user interaction with web content or transmission of the image by a user, (e.g., via MMS), the image is matched to an advertiser images, such as via feature-based image matching. An index based upon the features may be used for efficiently locating the advertisement or advertisements. Also described is a tool for advertisers to use in creating a new scene based upon an uploaded image, or for adding the uploaded image to an existing scene.

Abstract: Described is a technology in which a two-dimensional barcode symbol (e.g., a QR Code®) is located within an image by looking for angular signatures that indicate a high density of generally vertical and/or horizontal angles. An image is divided into blocks of pixels. Angles are associated with each pixel, forming an angular signature for the block based on how many pixels are associated with each angle. The angular signatures indicate which blocks have pixels associated with mostly generally vertical and/or horizontal angles. A region with the largest number of blocks having such angular signatures is determined, and a bounding box for the barcode symbol grown from that region block by evaluating nearby blocks to find the outermost blocks that contain the barcode symbol.

Abstract: Method for inserting a barcode image in a document including receiving a request to encode one or more properties about the document as a barcode image in the document, the request being received through a document editor, generating the barcode image based on the properties, wrapping the barcode image inside a container object, and inserting the container object into the document.

Abstract: A technique for the algebraic derivation of a pulse oximetry signal uses the mathematical relations of detected light signals. First and second light sources transmit light through the patient's finger or reflects light off the blood vessels in the patient's finger. A light detector detects light from each of the light sources and generates a measured intensity signal. The measured intensity signal includes the true intensity of light transmitted from each of the light sources as well as noise introduced during the measurement process. A data sample from each of the light sources is digitized and subdivided into a plurality of data windows. The mathematical relationship is applied to each of the data windows to determine a ratio value indicative of oxygen saturation in the patient. The ratio values are statistically analyzed to determine the best estimate for the correct ratio value. This ratio value is subsequently processed to determine the oxygen saturation within the patient.

Abstract: A technique for the accurate determination of artifact free pulse oximetry signals utilizes an adaptive signal processor and peak detector circuit. A reference signal for the adaptive signal processor is derived based on mathematical relations of the detected light signals and the true intensity of light signals. The derivation of the appropriate reference signal requires the determination of peak values for two ratio constants. The two ratio constants lie within a known physiological range of values. When the value of the ratio constants has been determined, the reference signal equals the true intensity. The output of the adaptive signal processor is provided to the peak detector. The peak detector subdivides the known physiological range into two intervals and determines in which interval a peak exists. The remaining interval is discarded, and the peak detector repeats the measurement on the remaining interval until a peak has been detected within the desired accuracy.

Abstract: A technique for the derivation of a pulse oximetry signal using fractal dimension analysis of detected light signals. First and second light sources transmit light through the patient's finger or reflect light off the blood vessels in the patient's finger. A light detector detects light from each of the light sources and generates a measured intensity signal. The measured intensity signal includes the true intensity of light transmitted from each of the light sources as well as noise introduced during the measurement process. A data sample from each of the light sources is digitized and a set of equations developed as a function of a ratio value indicative of oxygen saturation in the patient. The fractal dimension is determined for the set of signal functions over the normal physiological range for the ratio value. Maximum and/or minimum fractal dimension values are calculated to determine the desired ratio values which are possible indicatives of the ratio of true physiological signals or noise signals.