Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing queries made up of images. In one aspect, a method includes indexing images by image descriptors. The method further includes associating descriptive n-grams with the images. In another aspect, a method includes receiving a query, identifying text describing the query, and performing a search according to the text identified for the query.

Abstract: A server system receives a visual query from a client system. The visual query is an image containing text such as a picture of a document. At the receiving server or another server, optical character recognition (OCR) is performed on the visual query to produce text recognition data representing textual characters. Each character in a contiguous region of the visual query is individually scored according to its quality. The quality score of a respective character is influenced by the quality scores of neighboring or nearby characters. Using the scores, one or more high quality strings of characters are identified. Each high quality string has a plurality of high quality characters. A canonical document containing the one or more high quality textual strings is retrieved. At least a portion of the canonical document is sent to the client system.

Abstract: A server system receives a visual query from a client system distinct from the server system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query, and scores each textual character in the plurality of textual characters. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query; retrieves a canonical document having the one or more high quality textual strings; generates a combination of the visual query and at least a portion of the canonical document; and sends the combination to the client system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking object search results. In one aspect, a method includes providing an image to an image processing apparatus, the image defined within a first bounded region. Object search results are received from the image processing apparatus. Each object search result identifies an object belonging to one of a plurality of pre-specified object classes, and defining a respective second bounded region in which the identified object is located, the respective second bounded region being within the first bounded region. For each object search result, a respective rank score from characteristics of the respective second bounded region defined by the object search result is determined. The object search results are ranked according to their respective rank scores.

Abstract: A visual query such as a photograph, a screen shot, a scanned image, a video frame, or an image created by a content authoring application is submitted to a visual query search system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. These parallel search systems may include but are not limited to optical character recognition (OCR), facial recognition, product recognition, bar code recognition, object-or-object-category recognition, named entity recognition, and color recognition. Then at least one search result is sent to the client system. In some embodiments, when the visual query is an image containing a text element and a non-text element, at least one search result includes an optical character recognition result for the text element and at least one image-match result for the non-text element.

Abstract: A method and apparatus for enabling media data capture based on a real-world user experience is described herein. According to embodiments of the invention, media data is captured by a mobile computing device and transmitted to a server computer system in response to identifying one or more events from sensor data. The server computer system adds the captured media data, along with data identifying the event that initiated the capture of the media data, to a history of real-world experiences of a user of the mobile computing device. The server computer system may further perform one or more recognition processes on the captured media data and, when the one or more recognition processes find a match, associate the recognized items to the captured media data.

Abstract: Implementations of the present disclosure include actions of receiving image data, the image data being provided from a camera and corresponding to a scene viewed by the camera, receiving one or more annotations, the one or more annotations being provided based on one or more entities determined from the scene, each annotation being associated with at least one entity, determining one or more actions based on the one or more annotations, and providing instructions to display an action interface including one or more action elements, each action element being selectable to induce execution of a respective action, the action interface being displayed in a viewfinder.

Abstract: A method and apparatus for enabling a searchable history of real-world user experiences is described. The method may include capturing media data by a mobile computing device. The method may also include transmitting the captured media data to a server computer system, the server computer system to perform one or more recognition processes on the captured media data and add the captured media data to a history of real-world experiences of a user of the mobile computing device when the one or more recognition processes find a match. The method may also include transmitting a query of the user to the server computer system to initiate a search of the history or real-world experiences, and receiving results relevant to the query that include data indicative of the media data in the history of real-world experiences.

Abstract: A server system receives a visual query from a client system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system also produces structural information associated with the textual characters in the visual query. Textual characters in the plurality of textual characters are scored. The method further includes identifying, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. A canonical document that includes the one or more high quality textual strings and that is consistent with the structural information is retrieved. At least a portion of the canonical document is sent to the client system.

Abstract: A visual query such as a photograph, screen shot, scanned image, or video frame is submitted to a visual query search system from a client system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. A plurality of results is received from the parallel search systems. Utilizing the search results, an interactive results document is created and sent to the client system. The interactive results document has at least one visual identifier for a sub-portion of the visual query with a selectable link to at least one search result for that sub-portion. The visual identifier may be a bounding box around the respective sub-portion, or a semi-transparent label over the respective sub-portion. Optionally, the bounding box or label is color coded by type of result.

Abstract: A method, system, and computer readable storage medium is provided for identifying textual terms in response to a visual query is provided. A server system receives a visual query from a client system. The visual query is responded to as follows. A set of image feature values for the visual query is generated. The set of image feature values is mapped to a plurality of textual terms, including a weight for each of the textual terms in the plurality of textual terms. The textual terms are ranked in accordance with the weights of the textual terms. Then, in accordance with the ranking the textual terms, one or more of the ranked textual terms are sent to the client system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking object search results. In one aspect, a method includes providing an image to an image processing apparatus, the image defined within a first bounded region. Object search results are received from the image processing apparatus. Each object search result identifies an object belonging to one of a plurality of pre-specified object classes, and defining a respective second bounded region in which the identified object is located, the respective second bounded region being within the first bounded region. For each object search result, a respective rank score from characteristics of the respective second bounded region defined by the object search result is determined. The object search results are ranked according to their respective rank scores.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing queries made up of images. In one aspect, a method includes indexing images by image descriptors. The method further includes associating descriptive n-grams with the images. In another aspect, a method includes receiving a query, identifying text describing the query, and performing a search according to the text identified for the query.

Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

Abstract: An image input is obtained from a computing device when an image sensor of the computing device is directed to a scene. At least an object of interest in the scene is determined, and a label is determined for the object of interest. A search input is received from the computing device, where the search input is obtained from a mechanism other than the image sensor. An ambiguity is determined from the search input. A search query is determined that augments or replaces the ambiguity based at least in part on the label. A search result is based on the search query.

Abstract: A server system receives a visual query and identifies an entity in the visual query. The server system further identifies a client-side action corresponding to the identified entity and creates an actionable search result element configured to launch the client-side action. Examples of actionable search result elements are buttons to initiate a telephone call, to initiate email message, to map an address, to make a restaurant reservation, and to provide an option to purchase a product. The entity identified in the visual query may be indirectly associated with a client-side action whose contact address or appropriate link is found in a search result associated with the identified entity. The client system receives and displays the actionable search result element, and upon a user selection of the actionable search result element, launches the client-side action in an application distinct from the visual query client application.

Abstract: A method, system, and computer readable storage medium is provided for identifying textual terms in response to a visual query is provided. A server system receives a visual query from a client system. The visual query is responded to as follows. A set of image feature values for the visual query is generated. The set of image feature values is mapped to a plurality of textual terms, including a weight for each of the textual terms in the plurality of textual terms. The textual terms are ranked in accordance with the weights of the textual terms. Then, in accordance with the ranking the textual terms, one or more of the ranked textual terms are sent to the client system.

Abstract: The present application discloses systems and methods for estimating a global pose of a device. In some implementations, a method is disclosed that includes causing a detector on a device to record an image of a view from the device, sending to a server a query based on the image, and receiving from the server an estimated global pose of the device. The method further includes determining an updated estimated global pose of the device by causing the detector to record an updated image of an updated view from the device, causing at least one sensor on the device to determine at least one sensor reading corresponding to movement of the device, determining a relative pose of the device based on the updated image and the at least one sensor reading, and, based on the relative pose and the estimated global pose, determining the updated estimated global pose.

Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.