Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Abstract: Methods and program products for adjusting characteristics of photographs captured by electronic devices. The disclosed methods may include identifying a location of an electronic device at a detectable time. The electronic device may include a camera configured to capture a photograph at the location. The method may also include analyzing environmental data relating to the identified location, analyzing historical data for a collection of previously captured photographs at the identified location and providing at least one notification on the electronic device based on the analyzed environmental data and/or the analyzed historical data. Additionally, the method may include adjusting at least one camera setting for the camera of the electronic device based on the analyzed environmental data and the analyzed historical data.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Techniques are disclosed for document boundary detection (BD) from an input image using a combination of deep learning model and image processing algorithms. Quadrilaterals approximating the document boundaries in the input image are determined and rated separately using both these approaches: deep leaning using convolutional neural network (CNN) and heuristics using image processing algorithms. Thereafter, the best rated quadrilateral is selected from the quadrilaterals obtained from both the approaches.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Techniques are disclosed for document boundary detection (BD) from an input image using a combination of deep learning model and image processing algorithms. Quadrilaterals approximating the document boundaries in the input image are determined and rated separately using both these approaches: deep leaning using convolutional neural network (CNN) and heuristics using image processing algorithms. Thereafter, the best rated quadrilateral is selected from the quadrilaterals obtained from both the approaches.

Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Abstract: Methods, systems, and apparatuses are described herein for determining distances and angles between speakers and other home theater components for performance of calibration operations and functions. Distances are determined through timing playback of sweep signals from a reference speaker to the speakers, and also by timing playback the sweep signals between the speakers and a capture device at a desired listening position. Angles between the speakers and other theater components are determined based on the distances, and locations or mappings of the speakers and other theater components are determined from the angles and distances. The locations/mappings are utilized to perform different calibration operations. The calibration operations improve the user audio experience for speakers that are located in non-optimal positions for speaker configurations.

Abstract: Methods, systems, and apparatuses are described for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. A device that is connected to an HDMI switch is identified based on data received over an HDMI connection, and ports on the HDMI switch are automatically mapped and configured. Methods, systems, and apparatuses are described for back-end database creation for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. The back-end database may be created by the based on video and audio signatures received from a consumer electronic device and based on remote control information and signatures.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods, systems, and apparatuses are described for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. A device that is connected to an HDMI switch is identified based on data received over an HDMI connection, and ports on the HDMI switch are automatically mapped and configured. Methods, systems, and apparatuses are described for back-end database creation for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. The back-end database may be created by the based on video and audio signatures received from a consumer electronic device and based on remote control information and signatures.

Abstract: Methods, systems, and apparatuses are described herein for determining distances and angles between speakers and other home theater components for performance of calibration operations and functions. Distances are determined through timing playback of sweep signals from a reference speaker to the speakers, and also by timing playback the sweep signals between the speakers and a capture device at a desired listening position. Angles between the speakers and other theater components are determined based on the distances, and locations or mappings of the speakers and other theater components are determined from the angles and distances. The locations/mappings are utilized to perform different calibration operations. The calibration operations improve the user audio experience for speakers that are located in non-optimal positions for speaker configurations.

Abstract: A method and apparatus for autonomous vehicle routing and navigation using passenger docking locations are disclosed. Autonomous vehicle routing and navigation using passenger docking locations may include an autonomous vehicle identifying map information representing a vehicle transportation network, the vehicle transportation network including a primary destination and a docking location, wherein identifying the map information includes identifying the map information such that the map information includes docking location information representing the docking location.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods, systems, and apparatuses are described for performing a calibration process for synchronizing audio signals with video signals. The calibration process may be performed between one or more devices of an entertainment system and a handheld device. Device(s) (e.g., a television and speaker(s)) of the entertainment system are configured to playback video signal(s) and audio signal(s), respectively. The handheld device is configured to determine an amount of synchronization error between the audio signal and the video signal, determine a synchronization correction value based on the determined amount, and provide the synchronization correction value to device(s) of the entertainment system. The device(s) may use the synchronization correction value to correct the delay between the video signal and the audio signal such that the video signal and the audio signal are synchronized.

Abstract: Methods, systems, and apparatuses are described for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. A device that is connected to an HDMI switch is identified based on data received over an HDMI connection, and ports on the HDMI switch are automatically mapped and configured. Methods, systems, and apparatuses are described for back-end database creation for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. The back-end database may be created by the based on video and audio signatures received from a consumer electronic device and based on remote control information and signatures.

Abstract: Methods, systems, and apparatuses are described for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. A device that is connected to an HDMI switch is identified based on data received over an HDMI connection, and ports on the HDMI switch are automatically mapped and configured. Methods, systems, and apparatuses are described for back-end database creation for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. The back-end database may be created by the based on video and audio signatures received from a consumer electronic device and based on remote control information and signatures.

Abstract: A method and apparatus for passenger docking location selection are disclosed.

Abstract: Methods, systems, and apparatuses are described for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. A device that is connected to an HDMI switch is identified based on data received over an HDMI connection, and ports on the HDMI switch are automatically mapped and configured. Methods, systems, and apparatuses are described for back-end database creation for automatic identification and mapping of consumer electronic devices to ports on an HDMI switch. The back-end database may be created by the based on video and audio signatures received from a consumer electronic device and based on remote control information and signatures.