Abstract: A method for personalizing video commercials displayed on a user device is provided. The method includes determining an identification of one or more users viewing the user device, receiving a preliminary set of video commercials selected from an initial set of video commercials based on the identification of the one or more users, determining a user satisfaction score based on attributes associated with the one or more identified users and features associated with each video commercial, an advertiser satisfaction score based on an expected revenue amount for each video commercial and the features associated with each video commercial, and a combined satisfaction score for each video commercial from the preliminary set of video commercials, selecting a primary set of video commercials from the preliminary set of video commercials based on the combined satisfaction score, and providing the primary set of video commercials.

Abstract: A computer-implemented information verification method, system, and non-transitory computer readable medium, include acquiring a first measurement from a user device specific to a user device location, acquiring a second measurement from a second device specific to a second device location, comparing the first measurement with the second measurement, and verifying the user device is within a proximity of the second device to grant access for the user device to the second device, based on a result of the comparing.

Abstract: A method modifies a physical device for use by a particular person. One or more processors receive information from a sensor indicating a detection by the sensor of a sequence of actions performed by an unidentified person. The sequence of actions are physical actions performed in a particular order, and the physical actions are disparate types of physical movements performed by the unidentified person. One or more processors compare the sequence of actions performed by the unidentified person a known sequence of actions for a particular person. In response to the sequence of actions performed by the unidentified person matching the known sequence of actions for the particular person, one or more processors identify the unidentified person as the particular person and then modify a physical device for use by the particular person.

Abstract: A split and merge advertisement method, system, and non-transitory computer readable medium, include splitting a first advertisement to be played on a second device when a moving user of a first group of users moves from a proximity of a first device to a proximity of the second device.

Abstract: A split and merge advertisement method, system, and non-transitory computer readable medium, include an advertisement splitting circuit configured to split the first advertisement to be played on a second device when a moving user of the first group of users moves from a proximity of the first device to a proximity of the second device as detected by the user identifying unit of each of the first device and the second device, an optimization circuit configured to optimize a second advertisement to be played on the first device for the first group of users having a new group composition and a third advertisement to be played on the second device for the moving user, and an advertisement merging circuit configured to merge the third advertisement with the second advertisement when the moving user moves from the second device to the first device.

Abstract: A processor-implemented method enables a device based on authentication of a particular user. One or more processors data mine past activities of a particular user. The past activities are detected by physical monitoring devices that monitor the particular user. The processor(s) create an authentication question and answer for the particular user based on the past activities of the particular user that the one or more processors have data mined. The processor(s) receive a request to use an electronic device used by the particular user, and then 1) transmit the authentication question to the electronic device used by the particular user and 2) receive an authentication answer to the authentication question from the electronic device used by the particular user. In response to the authentication answer from the electronic device matching the answer for the authentication question, the processor(s) remotely enable the electronic device for the particular user.

Abstract: A computer-implemented method for detecting and ranking individuals includes capturing live image data of a scene using an imaging device and identifying overlap between reference image data of the selected individuals and the live image data, wherein the overlap includes image data of the selected individuals in the scene. The method also includes capturing sets of image data of the selected individuals while the imaging device is in motion and recording the movement to provide a tracking record having instructions for positioning the imaging device where the imaging device captured the sets of image data of the selected individuals in the scene. The method further includes determining a score for each of the selected individuals in the scene based on a value related to an ability to view each friend and/or a social relationship value in order to enable a user to select who to aim the imaging device at.

Abstract: A computer-implemented method for detecting and ranking individuals includes capturing live image data of a scene using an imaging device and identifying overlap between reference image data of the selected individuals and the live image data, wherein the overlap includes image data of the selected individuals in the scene. The method also includes capturing sets of image data of the selected individuals while the imaging device is in motion and recording the movement to provide a tracking record having instructions for positioning the imaging device where the imaging device captured the sets of image data of the selected individuals in the scene. The method further includes determining a score for each of the selected individuals in the scene based on a value related to an ability to view each friend and/or a social relationship value in order to enable a user to select who to aim the imaging device at.

Abstract: Metadata about a movie is retrieved. The metadata includes a plurality of associated viewer responses from at least one previous audience viewing of the video. The plurality of associated viewer responses from the at least one previous audience viewing are associated with one or more segments of the video. A segment of the video associated with a type of viewer reaction based on emotion and sentiment recognition is identified. Additional media content based on the identified video segment is retrieved. A segment of the additional media content that exceeds a threshold of similarity with the segment of the video is determined. A video clip that includes the segment of the additional media content is created.

Abstract: A movie review generating method, system, and computer program product for dynamically generating movie reviews by capturing and aggregating the experience observed by an external observation system, and correlating the observation with the elements of the movie by creating soft-faceted boundaries around the elements.

Abstract: In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.

Abstract: Camera settings are managed. A candidate subject for capture by a camera is detected. The detection is based on historical profile data related to a user of the camera. One or more adjustments of the camera are identified for capture of the candidate subject. The one or more adjustments are identified based on the detected candidate subject. A proper capture action is performed based on the identified adjustments.

Abstract: A method, computer system, and computer program product for sport training on an augmented reality device or a virtual reality device is provided. The embodiment may include capturing a plurality of user movement data using one or more sensors. The embodiment may also include measuring a user body and eye gaze position based on the plurality of captured user movement data. The embodiment may further include calculating a body position difference by comparing the measured user body and eye gaze position with an expert-specified body position sequence. The embodiment may also include determining a body position quality threshold is not satisfied based on the calculated body position difference. The embodiment may further include generating an instruction based on the compared calculated body position difference.

Abstract: A contextual zoom control method, system, and computer program product, includes detecting faces in an area of interest when a user is performing an image capturing action, extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action, creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual, pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest, and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest.

Abstract: A risk modeling system, method and program product. A query orchestrator interfaces with users posing high-level queries and expanding high-level queries into lower level queries. A queryable risk extractor applies lower level queries to available risk-related knowledge to extract potential risks, e.g., to petrochemical resource production in a selected locale. A semantic enrichment unit applies semantic enrichment to extracted potential risks and selectively annotates the enriched results. A risk model builder generates a graphical risk model for display on a display. Risk analyst can use the graphical risk model to augment risk-related intelligence.

Abstract: A contextual zoom control method, system, and computer program product, includes detecting faces in an area of interest when a user is performing an image capturing action, extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action, creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual, pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest, and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest.

Abstract: A computer-implemented method for detecting and ranking individuals includes capturing live image data of a scene using an imaging device and identifying overlap between reference image data of the selected individuals and the live image data, wherein the overlap includes image data of the selected individuals in the scene. The method also includes capturing sets of image data of the selected individuals while the imaging device is in motion and recording the movement to provide a tracking record having instructions for positioning the imaging device where the imaging device captured the sets of image data of the selected individuals in the scene. The method further includes determining a score for each of the selected individuals in the scene based on a value related to an ability to view each friend and/or a social relationship value in order to enable a user to select who to aim the imaging device at.

Abstract: A computer-implemented method for detecting and ranking individuals includes capturing live image data of a scene using an imaging device and identifying overlap between reference image data of the selected individuals and the live image data, wherein the overlap includes image data of the selected individuals in the scene. The method also includes capturing sets of image data of the selected individuals while the imaging device is in motion and recording the movement to provide a tracking record having instructions for positioning the imaging device where the imaging device captured the sets of image data of the selected individuals in the scene. The method further includes determining a score for each of the selected individuals in the scene based on a value related to an ability to view each friend and/or a social relationship value in order to enable a user to select who to aim the imaging device at.

Abstract: A movie review generating method, system, and computer program product for dynamically generating movie reviews by capturing and aggregating the experience observed by an external observation system, and correlating the observation with the elements of the movie by creating soft-faceted boundaries around the elements.

Abstract: In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.