Abstract:
When a user enters a primary search query into a primary search query input area to perform a first search of the primary search query, disclosed is a method and system for automatically entering the primary search query into a secondary search query input area to perform a second search of the primary search query. When the user enters a secondary search query into the secondary search query input area to perform a first search of the secondary search query, the method and system automatically enters the secondary search query into the primary search query input area to perform a second search of the secondary search query.
Abstract:
In one embodiment, an indication of a request pertaining to a user account is obtained, where the user account is associated with at least one user. An account type of the user account is determined, where the account type is one of two or more account types. One or more actions indicated by the request are performed based, at least in part, upon the account type.
Abstract:
Techniques are provided which facilitate mobile applications displaying advertisements on a larger screen space without worrying about screen clutter or interference with application functionality. Motion events are triggered once a computerized device detects a threshold magnitude of tilt along a first, second, and/or third coordinate axis. A graphical display is presented to the user which includes at least one advertisement. Several embodiments of the graphical display include a three-dimensional object and full-screen display which are maintained so long as a magnitude of tilt of the computerized device is detected.
Abstract:
In an embodiment, a method comprises obtaining a frequency domain representation associated with an image; obtaining one or more frequency domain representations of one or more object detection filters; generating a composite frequency domain representation based on the frequency domain representation associated with the image and the one or more frequency domain representations of the one or more object detection filters; and detecting one or more objects in the image based on the composite frequency domain representation. The frequency domain representation associated with the image may be obtained based on a forward transform performed on an image feature description. The image feature description may be obtained based on a feature extraction performed on the image. The one or more frequency domain representations of the one or more object detection filters may be obtained based on one or more Fourier transforms performed on the one or more object detection filters.
Abstract:
Disclosed is a system and method for obtaining ad-hoc the spatial layout and setup of installed radio-based indoor tracking systems at particular locations. The systems and methods can be implemented via an installed or web-based application that performs the ad-hoc detection of indoor beacons, which includes detecting the signal strength of all beacons at a location while the user performs a previously configured gesture. From the trajectory of the gesture and the recorded signal strengths, the disclosed systems and methods derive the distance and direction of all beacons, which are laid out in a 2D map. Thus, the present disclosure can implicitly calibrate signal strengths to high-accuracy distances, thereby producing the spatially accurate 2D setup of the previously unknown space, in addition to indoor tracking on a decimeter level, which is efficient and increasingly cost effective for device tracking and advertising purposes.
Abstract:
Disclosed herein is a human verification system, method and architecture, which make use of sensing components built into a user's computing device, or otherwise coupled to the user's device, to receive a response to a challenge-response verification test, which may comprise a pattern-based and/or an image-based challenge-response.
Abstract:
A method for identifying a user is provided, including the following method operations: identifying at least three contact regions on a touch sensitive surface, the contact regions defined by simultaneous contact of at least three fingers of the user with the touch sensitive surface; for each contact region, determining a center point; determining distances between each of the determined center points of the contact regions; comparing the determined distances against predefined distances associated with a known user; based on the comparing, determining the user to be the known user or not the known user.
Abstract:
Geo-referenced and oriented media items may be used to determine a location of one or more points of interest depicted by the media items. A difference between an actual capture location and orientation and a reported location and orientation may be modeled according to one or more distributions, which distribution(s) may be used to assign one or more weights to each location in the world where such weight(s) may be considered to be a likelihood that a point of interest might have been seen by a capturing device. A density map may be acquired by superimposing the derived likelihoods, and a maximum, e.g., local maximum, may be determined to represent a location of a point of interest.
Abstract:
One or more methods and/or techniques for content resource allocation are provided herein. A user, of a client device, may access content. Real time user traffic associated with accessing the content may be determined. A trend may be identified from the real time user traffic for the content. The real time user traffic may be indicative of an amount of the content distribution resources used to provide a threshold level of service to users. Responsive to the trend indicating a projected increase in real time user traffic for the content, the content distribution resources may be allocated to the content based upon the projected increase, such that the allocated content distribution resources provide the threshold level of service to the user.