Abstract: An approach is provided for machine learning-based map generation. The approach involves, for example, receiving an encoder output for an image depicting a geographic area, wherein the encoder output comprises an encoding for each tile of a plurality of tiles of the image, and wherein the encoding represents data associated with a location of each tile. The approach also involves using a machine learning decoder to determine a window over the encoder output comprising a tile of the plurality of tiles and one or more neighboring tiles and to process the encoding associated with the tile and the one or more neighboring tiles in the window to generate a map representation for the location of the tile and providing the map representation as an output.

Abstract: A method, apparatus and computer program product train a signature encoding module and a query processing module. In a method, at least one of the signature encoding module and the query processing module is trained by providing the signature encoding module with a reference image containing a particular object of interest that is marked therewithin. The method generates a digital signature of the object of interest and at least some context associated therewith and provides the query processing module with a query image and the digital signature representing the object of interest and at least some of the context associated therewith. The method additionally identifies the object of interest within the query image based upon the digital signature and modifies at least one of the signature encoding module or the query processing module based upon a qualitative or quantitative difference between the objects of interest identified within the query image and marked in the reference image.

Abstract: A method, apparatus and computer program utilize digital signatures to accurately and efficiently identify changes to objects of interest within captured images. In the context of a method, a digital signature is obtained for an object of interest at a particular location. The method also determines whether a difference between the digital signature and a previously determined digital signature associated with the location satisfies a predefined criterion. In accordance with determining that the difference fails to satisfy the predefined criterion, the method causes information regarding the object of interest at the particular location to be collected, such as to permit a map that references the object of interest or other information associated with the object of interest to be updated.

Abstract: A method, apparatus and computer program product train a signature encoding module (SEM) and a query processing module (QPM). The method generates a digital signature of an object of interest in a reference image provided to the SEM, and provides the SEM with at least one additional reference image that comprises a variation of the reference image and generates a digital signature for the at least one additional reference images. The method also provides the QPM with a query image and a digital signature set comprising the digital signature and the at least one additional digital signature, identifies the object of interest within the query image using the digital signature set, and modifies the SEM or QPM based upon a difference between the object of interest identified within the query image and the object of interest in the reference image or the at least one additional reference image.

Abstract: A method, apparatus and computer program product utilize digital signatures to efficiently identify objects of interest within images and cause graphical presentation data to be accurately displayed for the objects of interest. The method receives one or more images generated by an image capture device. The method determines one or more digital signatures associated with one or more objects within the one or more images. Based on the one or more digital signatures, the method also determines graphical data placement information comprising one or more graphical data placement regions for the one or more objects. The method also receives graphical presentation data comprising one or more graphical assets. The method also causes display of the graphical presentation data that includes overlaying at least one graphical asset of the one or more graphical assets on the at least one graphical data placement region.

Abstract: A method, apparatus and computer program product generate and utilize a digital signature to identify an object of interest. The method includes providing a reference image depicting the object to a signature encoding module having a hypernetwork. An indication of the object within the reference image is also provided. The method includes generating, with the signature encoding module, the digital signature representing the object. The digital signature includes parameter(s) configured to define processing to be performed by another neural network. The method includes providing the digital signature and at least one query image to a query processing module having a neural network. The method includes identifying, by the query processing module, the object within the at least one query image based upon the digital signature by processing the at least one query image with the neural network of the query processing module in a manner defined by the parameter(s).

Abstract: A method, apparatus and computer program product utilize digital signatures to efficiently identify objects of interest within images and cause graphical presentation data to be accurately displayed for the objects of interest. The method receives one or more images generated by an image capture device. The method determines one or more digital signatures associated with one or more objects within the one or more images. Based on the one or more digital signatures, the method also determines graphical data placement information comprising one or more graphical data placement regions for the one or more objects. The method also receives graphical presentation data comprising one or more graphical assets. The method also causes display of the graphical presentation data that includes overlaying at least one graphical asset of the one or more graphical assets on the at least one graphical data placement region.

Abstract: A method, apparatus and computer program product train a signature encoding module (SEM) and a query processing module (QPM). The method generates a digital signature of an object of interest in a reference image provided to the SEM, and provides the SEM with at least one additional reference image that comprises a variation of the reference image and generates a digital signature for the at least one additional reference images. The method also provides the QPM with a query image and a digital signature set comprising the digital signature and the at least one additional digital signature, identifies the object of interest within the query image using the digital signature set, and modifies the SEM or QPM based upon a difference between the object of interest identified within the query image and the object of interest in the reference image or the at least one additional reference image.

Abstract: A method, apparatus and computer program utilize digital signatures to accurately and efficiently identify changes to objects of interest within captured images. In the context of a method, a digital signature is obtained for an object of interest at a particular location. The method also determines whether a difference between the digital signature and a previously determined digital signature associated with the location satisfies a predefined criterion. In accordance with determining that the difference fails to satisfy the predefined criterion, the method causes information regarding the object of interest at the particular location to be collected, such as to permit a map that references the object of interest or other information associated with the object of interest to be updated.

Abstract: A method, apparatus and computer program product utilize digital signatures to efficiently identify objects of interest within images and cause graphical presentation data to be accurately displayed for the objects of interest. The method receives one or more images generated by an image capture device. The method determines one or more digital signatures associated with one or more objects within the one or more images. Based on the one or more digital signatures, the method also determines graphical data placement information comprising one or more graphical data placement regions for the one or more objects. The method also receives graphical presentation data comprising one or more graphical assets. The method also causes display of the graphical presentation data that includes overlaying at least one graphical asset of the one or more graphical assets on the at least one graphical data placement region.

Abstract: A method, apparatus and computer program product train a signature encoding module and a query processing module. In a method, at least one of the signature encoding module and the query processing module is trained by providing the signature encoding module with a reference image containing a particular object of interest that is marked therewithin. The method generates a digital signature of the object of interest and at least some context associated therewith and provides the query processing module with a query image and the digital signature representing the object of interest and at least some of the context associated therewith. The method additionally identifies the object of interest within the query image based upon the digital signature and modifies at least one of the signature encoding module or the query processing module based upon a qualitative or quantitative difference between the objects of interest identified within the query image and marked in the reference image.

Abstract: A method, apparatus and computer program product identify objects of interest within images. In a method, the method receives one or more images generated by an image capture device that is configured to be relocated. The method also receives information regarding an estimated location of the image capture device. Based upon a representation of a respective image of the one or more images and respective representations of a plurality of reference images, the method identifies one or more reference images that are associated with the estimated location. The method also identifies an object of interest within the respective image generated by the image capture device based upon respective digital signatures of one or more objects of interest and at least some context associated with the one or more objects of interest that are depicted by the one or more reference images that have been identified.

Abstract: Systems and methods are described for performing a travel search and presenting search results to a user. A computing device may retrieve multiple travel documents and analyze the travel documents to identify points of interest. The computing device may analyze the subset of the travel documents that have points of interest or significant information regarding points of interest. The computing device is configured to calculate a POI relevance score based on text associated with the identified POIs. The POI relevance score indicates how likely the text is relevant to a travel search and rank the subset of the travel documents based on the POI relevance score.

Abstract: A system and method for static query generation and input, comprising a set of auto-complete and auto-suggest rules, based on a template derived from at least one of an initial user input and context, is used to elicit a more complete query from said user, said auto-complete and auto-suggest values being offered in the form of widgets that offer a visual indicia receptive for user interaction, and wherein depending on at least one of context and status and user input, more than one such widget may be offered concurrently.

Abstract: Systems and methods are described for performing a travel search and presenting search results to a user. A computing device may retrieve multiple travel documents and analyze the travel documents to identify points of interest. The computing device may analyze the subset of the travel documents that have points of interest or significant information regarding points of interest. The computing device is configured to calculate a POI relevance score based on text associated with the identified POIs. The POI relevance score indicates how likely the text is relevant to a travel search and rank the subset of the travel documents based on the POI relevance score.

Abstract: A system and method for static query generation and input, comprising a set of auto-complete and auto-suggest rules, based on a template derived from at least one of an initial user input and context, is used to elicit a more complete query from said user, said auto-complete and auto-suggest values being offered in the form of widgets that offer a visual indicia receptive for user interaction, and wherein depending on at least one of context and status and user input, more than one such widget may be offered concurrently.