Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically selecting the most definitive, precise and high-quality content files corresponding to POIs. The disclosed systems and methods utilize the performance of visual comparisons with a set of definitive content files of a given POI, and by incorporating visual aesthetic features as a factor of such comparisons, a search result is identified that down-weights imprecise and poor quality content files of a given POI, and ensures that only high quality, accurate content files are selected or identified.

Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.

Abstract: Systems and methods for optimizing production of unconventional horizontal wells. A method for optimizing production of a resource from an unconventional horizontal well comprises compiling values for predictor parameters and target parameters for each of a plurality of known wells. The method includes generating a model for anticipating production of the unconventional horizontal well. The method comprises using a production optimizer and the model to determine a physical parameter change for increasing the anticipated production from the unconventional horizontal well. The method includes communicating the physical parameter change to a rig. The method comprises causing the rig to make the physical parameter change to the unconventional horizontal well.

Abstract: Systems and methods for optimizing production of unconventional horizontal wells. A method for optimizing production of a resource from an unconventional horizontal well comprises compiling values for predictor parameters and target parameters for each of a plurality of known wells. The method includes generating a model for anticipating production of the unconventional horizontal well. The method comprises using a production optimizer and the model to determine a physical parameter change for increasing the anticipated production from the unconventional horizontal well. The method includes communicating the physical parameter change to a rig. The method comprises causing the rig to make the physical parameter change to the unconventional horizontal well.

Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.

Abstract: A self-learning system, a method, and a non-transitory computer readable medium having computer executable instructions stored thereon, where each assist in determining a total time prediction for a potential project involving heavy equipment and heavy equipment information. Each may include calculating a prediction for a heavy equipment number, a well density number, how long a heavy equipment will take to move from well to well, a well quantity, and how long a total project will take given a specific area of land and the geological properties thereof. The self-learning system, method, and non-transitory computer readable medium involve a recursion step, wherein the calculation of a prediction is updated when new information is attained.

Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically selecting the most definitive, precise and high-quality content files corresponding to POIs. The disclosed systems and methods utilize the performance of visual comparisons with a set of definitive content files of a given POI, and by incorporating visual aesthetic features as a factor of such comparisons, a search result is identified that down-weights imprecise and poor quality content files of a given POI, and ensures that only high quality, accurate content files are selected or identified.

Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.

Abstract: Exemplary methods, apparatus, and systems are disclosed for authenticating a user to computing device. In one exemplary embodiment, an indication of a request by a user to unlock a mobile device in a locked state is received. One or more images of the face of the user are captured. Facial components of the user from the one or more captured images are extracted. A determination is made as to whether the user is an authorized user or a non-authorized user based at least in part on a comparison of the facial components of the user extracted from the one or more captured images to facial components of the authorized user from one or more authentication images of the authorized stored on the mobile device. If the user is determined to be the authorized user, the mobile device unlocked; otherwise, the mobile device is maintained in its locked state.

Abstract: Exemplary methods, apparatus, and systems are disclosed for authenticating a user to computing device. In one exemplary embodiment, an indication of a request by a user to unlock a mobile device in a locked state is received. One or more images of the face of the user are captured. Facial components of the user from the one or more captured images are extracted. A determination is made as to whether the user is an authorized user or a non-authorized user based at least in part on a comparison of the facial components of the user extracted from the one or more captured images to facial components of the authorized user from one or more authentication images of the authorized stored on the mobile device. If the user is determined to be the authorized user, the mobile device unlocked; otherwise, the mobile device is maintained in its locked state.

Abstract: Apparatus and methods are disclosed for modifying video based on user input and or face detection data received with a mobile device to generate foreground regions (e.g., to separate a user image from background in the video). According to one disclosed embodiment, a method comprises receiving user input and/or face regions generated with a mobile device, producing an initial representation for segmenting input video into a plurality of portions based on the user input, where the initial representation includes probabilities for one or more regions of the input video being designated as foreground regions or background regions. Based on the initial representation, input video is segmented by designating one or more of the regions of the input video as foreground regions or background regions.

Abstract: A computing device, such as a mobile device, can capture pictures or video images using a digital camera and obtain associated orientation information using an accelerometer. The orientation information can be used to adjust one or more of the captured pictures or video images to compensate for rotation in one or more planes of rotation. The orientation information can be saved along with the captured pictures or video images. The orientation information can also be transmitted or streamed along with the captured pictures or video images. Image matching operations can be performed using pictures or video images that have been adjusted using orientation information.

Abstract: Exemplary methods, apparatus, and systems are disclosed for authenticating a user to computing device. In one exemplary embodiment, an indication of a request by a user to unlock a mobile device in a locked state is received. One or more images of the face of the user are captured. Facial components of the user from the one or more captured images are extracted. A determination is made as to whether the user is an authorized user or a non-authorized user based at least in part on a comparison of the facial components of the user extracted from the one or more captured images to facial components of the authorized user from one or more authentication images of the authorized stored on the mobile device. If the user is determined to be the authorized user, the mobile device unlocked; otherwise, the mobile device is maintained in its locked state.

Abstract: Embodiments generate and provide connection quality data for networks based on past performance of those networks. Network experience data and corresponding device context are received from a first set of mobile devices. The received data is processed to generate the connection quality data, which is distributed to a second set of mobile devices for use in selecting a network and establishing a connection. Feedback describing performance of the selected network is received and applied to adjust the previously generated connection quality data. In some embodiments, the connection quality data represents voice over Internet Protocol (VoIP) call quality.

Abstract: Embodiments select networks for connection based on application-specific quality scores. A request is received from an application for a network connection. Connection quality data for nearby networks is accessed. The connection quality data is derived from crowdsourced data. The connection quality data is adjusted based on a device context to produce an application-specific quality score for each of the networks. One or more of the networks are selected for connection based on the application-specific quality scores. In some embodiments, a single network connection endpoint is provided to the application to abstract connection management details from the application.

Abstract: Exemplary methods, apparatus, and systems are disclosed for authenticating a user to computing device. In one exemplary embodiment, an indication of a request by a user to unlock a mobile device in a locked state is received. One or more images of the face of the user are captured. Facial components of the user from the one or more captured images are extracted. A determination is made as to whether the user is an authorized user or a non-authorized user based at least in part on a comparison of the facial components of the user extracted from the one or more captured images to facial components of the authorized user from one or more authentication images of the authorized stored on the mobile device. If the user is determined to be the authorized user, the mobile device unlocked; otherwise, the mobile device is maintained in its locked state.

Abstract: Apparatus and methods are disclosed for modifying video based on user input and or face detection data received with a mobile device to generate foreground regions (e.g., to separate a user image from background in the video). According to one disclosed embodiment, a method comprises receiving user input and/or face regions generated with a mobile device, producing an initial representation for segmenting input video into a plurality of portions based on the user input, where the initial representation includes probabilities for one or more regions of the input video being designated as foreground regions or background regions. Based on the initial representation, input video is segmented by designating one or more of the regions of the input video as foreground regions or background regions.

Abstract: A computing device, such as a mobile device, can capture pictures or video images using a digital camera and obtain associated orientation information using an accelerometer. The orientation information can be used to adjust one or more of the captured pictures or video images to compensate for rotation in one or more planes of rotation. The orientation information can be saved along with the captured pictures or video images. The orientation information can also be transmitted or streamed along with the captured pictures or video images. Image matching operations can be performed using pictures or video images that have been adjusted using orientation information.