Abstract: Methods and systems for automatically managing parking payment and enforcement. In general, real-time data regarding vehicles located in a parking zone can be acquired. The number of vehicles in the parking zone can be determined from the acquired real-time data. From such data, the number of vehicles in the parking zone that are paid can be calculated. Then, an operation can be implemented to compare the number of the vehicles in the parking zone with the number of vehicles in the parking zone that are paid with respect to the current time to determine unpaid violations if the number of vehicles in the parking zone exceeds the number of vehicles that are paid.

Abstract: Methods and systems receive an instruction to print an accumulation e-mail message through a graphic user interface of a computerized device. The accumulation e-mail comprises an original e-mail message and one or more reply e-mail messages made to the original e-mail message. The methods and systems automatically identify boundaries between the e-mail messages within the accumulation e-mail using the computerized device; automatically truncate the original e-mail message and one or more of the reply e-mail messages from the accumulation e-mail message to create a modified accumulation e-mail message using the computerized device; and automatically print the modified accumulation e-mail message using a printing device.

Abstract: A method and apparatus for obtaining an image and providing one or more document files to a user is disclosed. The method may include receiving an image of a target object using an imaging device, analyzing the image to identify one or more features, and accessing a model database to identify an object model having features that match the identified features from the image. When the system determines that more than one model may be a match, the method looks for distinguishing features of the target object and selects a model that includes the distinguishing features. The method then includes, retrieving a document file that corresponds to the identified model from a file database, and providing the document file to a user.

Abstract: Methods, systems, and processor-readable media for pruning a training dictionary for use in detecting anomalous events from surveillance video. Training samples can be received, which correspond to normal events. A dictionary can then be constructed, which includes two or more classes of normal events from the training samples. Sparse codes are then generated for selected training samples with respect to the dictionary derived from the two or more classes of normal events. The size of the dictionary can then be reduced by removing redundant dictionary columns from the dictionary via analysis of the sparse codes. The dictionary is then optimized to yield a low reconstruction error and a high-interclass discriminability.

Abstract: As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.

Abstract: A method and apparatus for characterizing the performance of a printing device comprising printing a target set of patches with the device and measuring the printing device response with the printed target set; compiling a LUT from the printed target set and measured response; and representing the LUT as a tensor. According to one exemplary embodiment, tensor decomposition/parallel factor analysis is employed for compacting the tensor representation of the LUT.

Abstract: A process for creating a barcode with an embedded logo considers a printer gamut and divides the printer gamut into multiple regions. A virtual printer gamut is then generated with the colors in bright and dark regions. A target logo image is generated by mapping the virtual gamut to the original logo image. A logo with embedded barcode is produced using the colors specified in the target logo image.

Abstract: A method and system for detecting anomalies in video footage. A training dictionary can be configured to include a number of event classes, wherein events among the event classes can be defined with respect to n-diminensional feature vectors. One or more nonlinear kernel function can be defined, which transform the n-dimensional feature vectors into a higher dimensional feature space. One or more test events can then be received within an input video sequence of the video footage. Thereafter, a determination can be made if the test event(s) is anomalous by applying a sparse reconstruction with respect to the training dictionary in the higher dimensional feature space induced by the nonlinear kernel function.

Abstract: A system and method for dynamic zoom adjustment based, in part, upon: the raster data in the user selected local area is disclosed; and/or the knowledge of a prevailing font size in a user selected region such that the text in that region is enlarged to be just readable. To achieve this, the detail in the local area is examined and a zoom factor is calculated that depends on the image detail and/or the viewing screen resolution. A document server may be employed to develop the information needed to enable this functionality. In one embodiment, the information is developed by RIPping the document, and then storing a spatial map of localized details (e.g., font sizes at several display resolutions) to automatically adjust a zoom level or factor and thereby facilitate navigation and reading.

Abstract: A method and apparatus are disclosed for embedding a two-dimensional machine-readable code into the background of a document in an aesthetically pleasing manner. The objects (picture, graphics, text, etc.) in a document image are first segmented from the background. A location for embedding the barcode is determined. A texture image is created by replicating the barcode to a size that covers the entire image. A modulation index map is generated from the segmentation results. The original image is modulated to produce the output image based on the texture image and the modulation index map.

Abstract: As set forth herein, a computer-implemented method is employed to place personalized text into an image. A location within the image is selected where the text is to be placed, and region is grown around the selected location. The 3D geometry of the surface is estimated proximate to the location and sets of parallel straight lines in the image are identified and selected to define a bounding polygon into which text may be inserted. Optionally, a user is permitted to adjust the bounding polygon once it has been automatically generated.

Abstract: Methods and systems for detecting an object borderline. A first image with respect to the object can be captured by an image-capturing unit without a flash light and borderlines of the object can be detected. If the detection is successful, the detected borderlines can be outputted. Otherwise, a second image with respect to the object can be captured by the image-capturing unit by applying a flash light and the borderlines can be detected in the image. A geometric transformation between the two images can then be estimated. Finally, the border lines in the first image can be determined by transforming the borderlines detected in the second image. Such an approach effectively detects the appliance borderlines and avoids artifacts caused by applying flash.

Abstract: A license plate localization method and system based on a combination of a top-down texture analysis and a bottom-up connected component. An image with respect to a vehicle captured by an image capturing unit can be processed in order to locate and binarize a busy area. A black run with respect to the binarized image can be analyzed and classified and one or more objects (connected components) can be generated based on the black run classification. The objects can be further classified in accordance with their size utilizing a run-length based filter to filter out a non-text object. The leftover objects can then be spatially clustered and the uniformity and linearity of the clustered objects can be examined based on a linearity test. The clustered objects can be rejected if they fail the linearity test and the detected objects can further be matched with a plate edge characteristic in order to locate a license plate.

Abstract: As set forth herein, a computer-implemented method is employed to place personalized text into an image. A location and region within the image is determined where the text is to be placed. The 3D geometry of the surface is estimated proximate to the location where the text is to be placed. A personalized text string is received. The personalized text string is incorporated into the image to appear as if it is rendered onto the surface or object according to the estimated 3D geometry.

Abstract: Described herein is a level I (overt) feature for security printing intended to deter unauthorized modification of text documents. The exemplary method includes generating a textured background that follows the contour of the text it surrounds and is difficult to modify. The background patterns may be generated with a two-step procedure that first creates a smooth function and then modulates it to produce patterns with sharp contrast. Tampering will be deterred as visible artifacts will be created when text is altered. Compared to the levels II and III features, the exemplary method relies on human vision for detection and does not require any special tools and instruments. It can be used in applications where fast, simple and inexpensive inspection is essential, or combined with other technologies for enhancing overall effectiveness.

Abstract: Images with respect to an object at an ordering, payment, and delivery locations can be captured utilizing an image capturing system. Capture can be after detecting the presence of the object at each location utilizing an object presence sensor. The captured image can be processed to associate it with a signature and can also be processed in order to extract a small region of interest (e.g., license plate) and can be reduced to a unique signature. Signature can be stored into a database together with the corresponding order and images. Signatures can be matched. The order associated with the object matched by the system together with at least one of the images captured at the delivery point and the order point can be displayed at a user interface located at the payment/delivery point to ensure that the right order is delivered to the right customer associated with the object.

Abstract: A method and system render rasterized data by receiving non-rasterized page description language data and a corresponding transformation matrix representing transformation operations to be performed. The non-rasterized page description language data is rasterizing to create rasterized data. The corresponding transformation matrix is decomposed into a plurality of individual transformation operation matrices and a discrete transformation operation value, from a corresponding individual transformation operation matrix, is generated for each transformation operation to be performed upon the rasterized data. The transformation operations are performed upon the rasterized data based upon the generated discrete transformation operation values.

Abstract: This disclosure provides a method and system for navigating hard copies of web pages. According to one exemplary method, a hard copy of a web page is navigated by capturing with a mobile device an image of the hard copy, performing OCR on the captured image to identify the captured web page, accessing a database to retrieve a copy of the identified web page and displaying the retrieved copy of the identified web page along with active web page links on the mobile device.

Abstract: A method and a system for determining a parking boundary violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area including at least a single parking space. A boundary is determined for defining at least one parking space in the parking area. A vehicle is detected in the parking area. A determination is made whether the detected vehicle is violating a parking regulation based on a position and size of the vehicle within the boundary.

Abstract: A method and structure for estimating parking occupancy within an area of interest can include the use of at least two image capture devices and a processor (e.g., a computer) which form at least part of a network. A method for estimating the parking occupancy within the area of interest can include the use of vehicle entry and exit data from the area of interest, as well as an estimated transit time for vehicles transiting through the area of interest without parking.