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: Techniques are provided for creating presentation notes based upon gaze tracking information associated with observers of a presentation. In one example, a computer-implemented method comprises: obtaining, by a system operatively coupled to a processor, gaze information associated with observers of a presentation; determining, by the system, respective content clarity scores for content elements of the presentation based on a content clarity function; selecting, by the system, respective content from one or more content sources for the content elements based on the respective content clarity scores; and generating, by the system, presentation notes based on the presentation and the selected respective content for the content elements of the presentation.

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: Techniques are provided for creating presentation notes based upon gaze tracking information associated with observers of a presentation. In one example, a computer-implemented method comprises: obtaining, by a system operatively coupled to a processor, gaze information associated with observers of a presentation; determining, by the system, respective content clarity scores for content elements of the presentation based on a content clarity function; selecting, by the system, respective content from one or more content sources for the content elements based on the respective content clarity scores; and generating, by the system, presentation notes based on the presentation and the selected respective content for the content elements of the presentation.

Abstract: Methods, systems, and computer program products for gaze point detection using dynamic facial reference points under varying lighting conditions are provided herein. A computer-implemented method includes detecting items of spatial information pertaining to at least one eye of an individual gazing at one or more objects; detecting an item of spatial information pertaining to at least one nostril of the individual; detecting items of spatial information pertaining to the head of the individual; assigning a distinct weight to each of (i) the spatial information pertaining to the at least one eye and (ii) the spatial information pertaining to the at least one nostril based on the spatial information pertaining to the head; and generating gaze detection parameters applicable to the individual based on (i) the weighted spatial information pertaining to the at least one eye and (ii) the weighted spatial information pertaining to the at least one nostril.

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: A computerized sales tool used to stimulate sales of products and related products in a retail outlet. The tool comprises an in-store computer server, a database that stores shoppers' shopping profiles, a computer based, intelligent information retrieval system, and gaze sensors and shopper identification sensors mounted on a product rack in a store. A shopper using a mobile computing device is identified by the shopper identification sensor and the gaze sensor senses the shopper's interest in a product. Using this data, coupled with the shopper's profile and social media contact data, the computer server generates a first offer relating to the product being observed and a second offer combining the product being observed with another related product. These offers are presented to the shopper at the time of check-out or while in the store.

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: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: Methods, systems, and computer program products for pre-cooling and pre-heating vehicles using crowd estimation techniques are provided herein. A computer-implemented method includes estimating the number of individuals having travelled in a vehicle over sub-routes of a fixed route, learning temporal patterns pertaining to the number of individuals in the vehicle across each of the sub-routes, predicting the number of individuals that will be in the vehicle during the sub-routes based on the patterns, computing an expected amount of time for the vehicle to complete a sub-route and arrive at a location that commences a subsequent sub-route, determining an amount by which the energy required to maintain a temperature range in the vehicle is to be modified prior to the vehicle reaching the location based on said predicting and said computing, and utilizing energy to maintain the temperature range, based on said determining, prior to the vehicle reaching the location.

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 resume remarketing method, system, and computer program product, including creating a remarketing cookie based on an interest factor of a first user in a first type of resume, matching the first user with a second user based on a similarity between a role of the first and second users, and transferring the remarketing cookie from the first user to the second user to remarket the first type of resume to the second user.

Abstract: A resume rearrangement method, system, and computer program product, includes linking content segments of a resume including key terms with each other based on a pairwise similarity score between the key terms of the content segments, identifying an interest segment within the resume that draws interest from a current reader, and displaying a summary for the current reader including the interest segment that has drawn the interest of the current reader and a reference to at least one other segment that is linked with the interest segment.

Abstract: A humanness validation method, system, and computer program product, include generating a sequence of actions including gaze actions and emotional state actions, instructing an access requestor to perform the actions in the sequence one-by-one, and granting access to the access requestor if a total error rate of each of the performed one-by-one actions in the sequence of actions is less than a predefined threshold value.

Abstract: Systems, methods, and computer-readable media are disclosed for capturing, over the course of a sports match, gaze data for each participant on a team, identifying a team-level key performance indicator (KPI) associated with a sports domain to which the sports match corresponds, and generating KPI data corresponding to the KPI. A graph may then be constructed based at least in part on the KPI data, where each node in the graph may represent a player on the team or an object of interest, and each edge connecting adjacent nodes may be weighted to indicate a degree of interaction between the nodes connected by the edge. KPI data may be aggregated across multiple sports domain KPIs and analyzed to assess team performance characteristics during the sports match. Report data indicative of team performance for different game scenarios, and optionally including recommendations for improving team performance in such scenarios, may be generated.

Abstract: A gaze tracking method, system, and non-transitory computer readable medium for tracking an eye gaze on a device including a monocular camera and an accelerometer, include calculating a parametric equation of a gaze vector passing through a pupil of a user and an eye ball center of the user, calculating a new offset plane equation of a screen of the device based on yaw, roll, and pitch offset readings from a stationary registered plane equation initially determined from the screen of the device, and calculating an intersection of the eye gaze vector with the new offset plane equation.

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: A gaze tracking system, method, and computer product for tracking an eye gaze on a screen of a device including a camera, the system including a plane calculating circuit configured to calculate a current plane of a screen based on a first angle and a position of a camera with respect to the screen and an intersection calculating circuit configured to calculate an intersection of an eye gaze vector with the current plane equation.

Abstract: Various embodiments request discount offers on a mobile device within a store. In one embodiment, the mobile device detects it is being shaken and in response, sends a request for a discount offer to a server. The mobile device determines its location within the store. The mobile device receives a discount offer based on the location of the mobile device within the store and information associated with the mobile device. The discount offer is displayed and feedback is communicated to the server based on the detected device movement. The feedback is an indicator that indicates acceptance, rejection or a request for a different discount offer. The detected device movement include at least one of motion intensity, direction of motion and number of shakes. If the motion intensity of being shaken is greater than a predetermined threshold, an indication of objection is emitted.