Abstract: Methods, systems, and computer program products for transitioning an interface to a related image are provided. A method for transitioning an interface to a related image may include receiving information describing a homography between a first image and a second image, and adjusting the interface to present the second image at one or more transition intervals in a transition period until the second image is fully displayed and the first image is no longer visible. The interface may be adjusted by determining, based on the homography, a region of the second image to overlay onto a corresponding area of the first image, blending the determined region with the corresponding area to reduce visible seams occurring between the first image and the second image, and updating the interface by gradually decreasing visual intensity of the first image while gradually and proportionally increasing visual intensity of the second image.

Abstract: A system and machine-implemented method for providing image content corresponding to a business establishment is provided. Several webpages corresponding to a business establishment are received, and one or more webpages are selected from the several webpages, based on the content of each of the several webpages. At least one webpage related to the selected one or more webpages is retrieved. Image content is extracted from the retrieved at least one webpage. At least one annotation is generated for the extracted image content based on at least one characteristic of the extracted image content. The image content is filtered based on the generated at least one annotation for the extracted image content. The filtered image content is provided for display.

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract: Systems and methods for determining a geocode for an image based on user-provided search queries and corresponding user selections are provided. One example method includes determining a selection value for each of a plurality of search strings associated with an image based at least in part on user selection data. The method includes generating a textual document for the image based at least in part on the selection values. The textual document includes one or more of the plurality of search strings. The method includes identifying a plurality of geographic entities by analyzing the textual document using a textual processor. The method includes selecting one of the plurality of geographic entities as a primary geographic entity and associating, by the one or more computing devices, a geocode associated with the primary geographic entity with the image.

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract: A system and computer implemented method for detecting the location of a mobile device using semantic indicators is provided. The method includes receiving, using one or more processors, a plurality of images captured by a mobile device at an area. The area is associated with a set of candidate locations. Using the one or more processors, one or more feature indicators associated with the plurality of images are detected. These feature indicators include semantic features related to the area. The semantic features are compared with a plurality of stored location features for the set of candidate locations. In accordance with the comparison, a location from the set of candidate locations is selected to identify an estimated position of the mobile device.

Abstract: Aspects of the disclosure relate generally to systems and methods for geographically locating images. For example, images from different sources may be associated with different types of location information or simply none at all. In order to reduce inconsistency among images, location information may be gathered for an image using bitmap processing, metadata processing, and information retrieved from where the image was found. This location information can be filtered to remove less reliable or conflicting information. Images may be clustered based on their appearance on an interactive online resource that corresponds to a user-defined event, based on image similarity, and by their appearance in a user photo album. The location information of the images of a cluster is then copied to all of the other images of that cluster.

Abstract: Systems and methods for the processing of images are provided. In particular, a candidate image can be obtained for processing. The candidate image can have one or more associated image categorization parameters. One or more pixel groups can then be detected in the candidate image and the one or more pixel groups can be associated with semantic data. At least one reference image can then be identified based at least in part on the semantic data of the one or more pixel groups. Once the at least one reference image has been identified, a plurality of adjustment parameters can be determined. One or more pixel groups from the candidate image can then be processed to generate a processed image based at least in part on the plurality of adjustment parameters.

Abstract: Systems and methods for determining a geocode for an image based on user-provided search queries and corresponding user selections are provided. One example method includes determining a selection value for each of a plurality of search strings associated with an image based at least in part on user selection data. The method includes generating a textual document for the image based at least in part on the selection values. The textual document includes one or more of the plurality of search strings. The method includes identifying a plurality of geographic entities by analyzing the textual document using a textual processor. The method includes selecting one of the plurality of geographic entities as a primary geographic entity and associating, by the one or more computing devices, a geocode associated with the primary geographic entity with the image.

Abstract: Methods and systems for presenting imagery associated with a geographic location to a user include providing at least one geographic map or panoramic imagery to a client for display in an interface configured for interactive navigation of the at least one geographic map or panoramic imagery, receiving a user selection collected by the interface indicating a location corresponding to the at least one geographic map or panoramic imagery, identifying a plurality of images associated with the received user selection, obtaining at least one user preference associated with the identified images, ranking the identified images based on at least one of the retrieved user preferences, and providing at least one ranked image for display in the interface, in accordance with the ranking.

Abstract: Systems and methods are disclosed for transferring information metadata from a first digital image to a second digital image. In one embodiment, an assignment module is configured to assign a corresponding portion of the first image to the second image using geolocation data. An extraction module is configured to extract a collection of features associated with the second image and the corresponding portion of the first image. An alignment module is configured to align the second image with a portion of the first image by transforming the second image so that features associated with the second image are geometrically aligned with the corresponding features of the portion of the first image. A metadata module is configured to associate metadata from the portion of the first image with the transformed second image. An annotation module is configured to annotate the second image with the associated metadata to generate an annotated image.

Abstract: Methods, systems, and articles of manufacture for presenting similar images are disclosed. A method for presenting similar images on a display device is disclosed. The method includes displaying a first image on the display device; determining one or more homographic relationships between the first image and a plurality of images; identifying, using the determined one or more homographic relationships, at least one image having a scene and a perspective which are similar to that of the first image; and displaying the identified image. Corresponding system and computer readable media embodiments are also disclosed.

Abstract: Methods, systems, and computer program products for transitioning an interface to a related image are provided. A method for transitioning an interface to a related image may include receiving information describing a homography between a first image and a second image, and adjusting the interface to present the second image at one or more transition intervals in a transition period until the second image is fully displayed and the first image is no longer visible. The interface may be adjusted by determining, based on the homography, a region of the second image to overlay onto a corresponding area of the first image, blending the determined region with the corresponding area to reduce visible seams occurring between the first image and the second image, and updating the interface by gradually decreasing visual intensity of the first image while gradually and proportionally increasing visual intensity of the second image.

Abstract: An arrangement for displaying information on a display surface is provided, the arrangement including a computing unit and a projecting unit. The computing unit is capable of supplying a display control signal to the projecting unit to thereby cause the projecting unit to project a display image calculated by the computing unit onto the display surface. The arrangement further includes a detecting unit, the detecting unit being capable of detecting a pointing signal applied to the display surface by a user and of supplying, depending on the pointing signal, a pointing information to the computing unit. The computing unit can calculate the display image including at least one image unit, wherein at least one of the position, the size and of the shape of the at least one image unit is dependent on the pointing information.

Abstract: Methods, systems, and computer program products for imperceptibly embedding structured light patterns in projected color images for display on planar and non-planar surfaces are disclosed. According to one method, an image exposure period for detecting an embedded structured light patterns in a projected image is selected based on analysis of pixel polarities for different pixel intensities of a pixel color. Pixel intensities for the color are varied in the user image so that pixel polarities encode the structured light patterns during image exposure period. The user image is projected with the structured light patterns onto the surface. Depth information is continuously acquired and used to adjust display of the user image.

Abstract: A method for visualizing high density graphical data sets for display is effectuated by determining the graphical density corresponding to an area of the display, where the graphical density is of a non-uniform nature. A non-linear visual space transformation corresponding to the graphical density is processed. Resolution in the area of the display is increased in response to the non-linear visual space transformation and the area is displayed with increased resolution.

Abstract: Methods, systems, and computer program products for imperceptibly embedding structured light patterns in projected color images for display on planar and non-planar surfaces are disclosed. According to one method, an image exposure period for detecting an embedded structured light patterns in a projected image is selected based on analysis of pixel polarities for different pixel intensities of a pixel color. Pixel intensities for the color are varied in the user image so that pixel polarities encode the structured light patterns during image exposure period. The user image is projected with the structured light patterns onto the surface. Depth information is continuously acquired and used to adjust display of the user image.

Abstract: A web transaction visualization system may include at least one web transaction visualization (WTV) processor adapted to automatically extract massive amounts of web transaction data from at least one data source for visual classification based on at least one aggregate transaction metric and to display the classified web transaction data interactively in three dimensions without overlapping.

Abstract: A web transaction visualization system may include at least one web transaction visualization (WTV) processor adapted to automatically extract massive amounts of web transaction data from at least one data source for visual classification based on at least one aggregate transaction metric and to display the classified web transaction data interactively in three dimensions without overlapping.

Abstract: A method for visualizing high density graphical data sets for display is effectuated by determining the graphical density corresponding to an area of the display, where the graphical density is of a non-uniform nature. A non-linear visual space transformation corresponding to the graphical density is processed. Resolution in the area of the display is increased in response to the non-linear visual space transformation and the area is displayed with increased resolution.