Abstract:
Methods and apparatus for processing collections of images are described in which metadata from a set of images may be used in directing a multi-image processing workflow. One or more output images may be rendered from a set of input images, with each output image being some combination of two or more of the input images. To render an output image, a workflow including one or more processing steps may be applied to the images. Metadata may be used in directing and performing the workflow. For example, metadata may be used in determining a particular workflow for a set of images. As another example, metadata may be used to sort a collection of images into multiple categories for automated workflow processing. As yet another example, metadata may be used to retrieve information stored in a profile database that may be used in processing the images.
Abstract:
Methods and apparatus for matching image metadata to a profile database to determine image processing parameters are described. In embodiments, image metadata may be used to match input images against a profile database. For example, camera make and model information and/or lens make and model information may be retrieved from the image metadata corresponding to an input image and used to locate a best match profile in the profile database. Additional custom data may then be retrieved from the located profile to perform processing that may be optimized for a specific camera and lens that captured the images, and in some cases for particular camera settings. The profile database may be generated via a calibration process applied to each of a plurality of camera/lens combinations. In one embodiment, the additional custom data may be adjusted or scaled to account for differences in cameras, lenses, or settings.
Abstract:
Various exemplary embodiments relate to a method for managing subscriber usage in a mobile network by a policy and charging rules function (PCRF) including: receiving a credit control request (CCR) message from a policy and enforcement rules function (PCEF) for an application; determining if a Sy connection to an online charging system (OCS) is necessary to implement the CCR; determining if a Sy session is present; sending an application authorization request (AAR) message to the OCS; binding a counter to the application; determining a policy to apply based upon the application; and sending a credit control answer (CCA) message to the PCEF to effect the policy.
Abstract:
Techniques are disclosed relating to lens modeling. In one embodiment, a lens model may be generated based on reference images of a pre-determined, known geometric pattern. The lens model may represent a spatially variant blur pattern across the image field of the lens used to capture the reference images. In one embodiment, the lens model may include Gaussian approximations of the blur that may minimize the difference between a location within a reference image and a corresponding location of a pre-determined, known geometric pattern. In one embodiment, the generated lens model may be applied to deblur a new image.
Abstract:
Methods and apparatus for retargeting and prioritized interpolation of lens profiles. A lens profile file may include a set of lens sub-profiles. The camera body and/or settings described in the file may not exactly match that of camera body and/or settings used to capture a target image. A sub-profile processing module may perform a prioritized sub-profile sorting and interpolation method to generate an interpolated sub-profile that may be applied to the target image to correct aberrations including, but not limited to, geometric distortion, lateral chromatic aberration, and vignette. Thus, models generated for a reference camera at a variety of settings may be applied to a target image captured with the same type of lens but with a different camera and/or with different settings that are not exactly modeled in the lens profile file.
Abstract:
A method for converting a portion of an image from a first domain to a second domain. The method may apply a Hough transform on the converted portion of the image, including calculating a range of angles for each tested pixel q relative to a center pixel p, quantizing the range of angles into a plurality of bins, voting each tested pixel q using a range of bins using a weighted voting schema; and detecting one or more features in the portion of the image. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.
Abstract:
A merchant uploads products or services to create an online store for purchases. The merchant also specifies the physical location of its store or stores or the service provider may determine a store location based on the location of a merchant device. When a user is near at least one of the stores, the user is presented with items available for purchase through any nearby merchants. The user can then make the purchase through the mobile device. The service provider may approve the transaction based, in part, on the location of the merchant and the user. Thus merchants that do not have a website can take advantage of online transactions. Mobile sellers, such as food trucks, can also use this idea to create stores and have users be notified when they are nearby.
Abstract:
An intelligent network (20) provides an ability for a user (22) to customize the use of intelligent network services in an automated fashion. A service control point (32) controls operation of the intelligent network services and automatically controls how a service switch point (28) or a home location register (74) maintains a database (72) containing trigger detection point criteria that indicates when an intelligent network service should be provided. In a disclosed example, a user can use a telephone (21) or a mobile station (22) for interfacing with the service control point (32) to set up, modify or cancel an intelligent network service.
Abstract:
Techniques are disclosed relating to lens modeling. In one embodiment, a lens model may be generated based on reference images of a pre-determined, known geometric pattern. The lens model may represent a spatially variant blur pattern across the image field of the lens used to capture the reference images. In one embodiment, the lens model may include Gaussian approximations of the blur that may minimize the difference between a location within a reference image and a corresponding location of a pre-determined, known geometric pattern. In one embodiment, the generated lens model may be applied to deblur a new image.
Abstract:
Communication networks, phones, and associated methods are disclosed that provide directory services to users of phones. A phone displays a directory search screen to a user, and the user enters one or more directory search parameters. The phone generates a request message that includes the directory search parameter(s), and transmits the request message to a communication network (e.g., a wireless network or a VoIP network). An application server in the communication network receives the request message, and queries a directory server based on the directory search parameter(s). The application server receives directory search results from the directory server, and transmits a response message to the phone that includes the directory search results. The phone then displays the directory search results to the user.