Abstract: A method allows a receiving device to control aspects of an image stream transmitting (IST) device. The method includes receiving a segmented video stream from the IST device during a video communication session. The segmented video stream includes a primary segment and a secondary segment presenting a virtual control interface. The method includes presenting, on a display device, a control enabling view of the segmented video stream and monitoring for movement, captured by at least one image capturing device, that is indicative of the input occurring within a spatial location proximate to the selectable feature. The method includes in response to detecting the input, identifying a function associated with the selectable feature and activating the function to affect one or more characteristics of a video image presented within the primary segment.

Abstract: A method in an electronic device includes detecting the electronic device being electronically in communication with another electronic device while an image capture device of the electronic device captures one or more images from an environment of the electronic device. One or more processors determine one or more content input parameters requested by the content presentation companion device that differ from at least one content output parameter of the image capture device. The one or more processors alter the one or more images to create one or more altered images meeting the one or more content input parameters required for the presentation on the content presentation companion device.

Abstract: A conferencing system terminal device includes a communication device electronically in communication with a content presentation companion device operating as a primary display for the conferencing system terminal device during a videoconference. An image capture device of the conferencing system terminal device captures one or more images of a subject for presentation on the content presentation companion device. One or more processors apply a mirroring function to the one or more images of the subject when operating in a normal videoconference mode of operation and, in response to one or more sensors detecting an initiation of a demonstration operation by the subject, transition to a demonstration videoconference mode of operation where application of the mirroring function to the one or more images of the subject is precluded.

Abstract: A method in an electronic device includes detecting the electronic device being electronically in communication with another electronic device while an image capture device of the electronic device captures one or more images from an environment of the electronic device. One or more processors determine one or more content input parameters requested by the content presentation companion device that differ from at least one content output parameter of the image capture device. The one or more processors alter the one or more images to create one or more altered images meeting the one or more content input parameters required for the presentation on the content presentation companion device.

Abstract: A communication device provides selective subject-based presentation of a received segmented video feed. A processor receives the video feed from a video presentation session and determines that the video feed is a subject-based segmented video feed having a primary segment within which a primary subject is presented, and at least one secondary segment having at least one secondary subject. The segments can be individually selected for local presentation on a display device. The processor determines a user preference for local viewing options of the video presentation session from among (i) presenting the primary segment and the secondary segment, (ii) presenting only the primary segment, and (iii) presenting one or more of the at least one secondary segments, but not the primary segment. The processor provides a resulting video feed on the display device presenting only content of specific segments of the received video feed that correspond to the user preference.

Abstract: A conferencing system terminal device includes a communication device electronically in communication with a content presentation companion device operating as a primary display for the conferencing system terminal device during a videoconference. An image capture device of the conferencing system terminal device captures one or more images of a subject for presentation on the content presentation companion device. One or more processors apply a mirroring function to the one or more images of the subject when operating in a normal videoconference mode of operation and, in response to one or more sensors detecting an initiation of a demonstration operation by the subject, transition to a demonstration videoconference mode of operation where application of the mirroring function to the one or more images of the subject is precluded.

Abstract: An electronic device incorporates, and a method and a computer program product provide automatic selection of an image capturing device during video communication session to encompass a local participant. A network interface(s) of the electronic device communicatively connects over a network second electronic device(s). A controller of the electronic device monitors a first image capturing device having a first field of view (FOV) and that produces first image content and a second image capturing device having a second FOV that differs from the first FOV and that produces second image content. In response to a trigger event to start providing image content to the video communication session, the controller determines which one of the first FOV and the second FOV encompasses the local participant in the video communication session and communicates a corresponding one of the first image content and the second image content to the video communication session.

Abstract: An electronic device includes a display presenting content. A communication device is electronically in communication with a content presentation companion device operating as a primary display for the electronic device. The communication device receives signals indicating a geometric orientation of the content presentation companion device in three-dimensional space. One or more processors alter the content being presented on the display to obtain altered content configured in accordance with one or more content input parameters required for content presentation on the content presentation companion and defined by the geometric orientation of the content presentation companion device in the three-dimensional space.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: An electronic device, computer program product, and method are provided that autonomously switch between first and second image streams of two image capturing devices during a video communication session, reducing data transmission and display size requirements for recipients. A controller of the electronic device identifies a person in the first image stream and identifies a writing surface in the second image stream. In response to determining that the person is not attending to the writing surface, the controller communicates, to at second electronic device(s) during the video communication session, at least a first portion of the first image stream that focusses on a face of the person. In response to determining that the person is attending to the writing surface, the controller communicates at least a second portion of the second image stream that focusses on the writing surface.

Abstract: An electronic device, computer program product, and method are provided that prompt a person who is participating in a video communication session to gaze toward a local image capturing device. A controller of the electronic devices receives an image stream from an image capturing device configured to be spaced away from a display device and having a field of view that incorporates a person that is proximate to the display device. The controller communicates the image stream to a video communication session. The controller receives second image stream(s) from second communication device(s) and presents the second image stream(s) at a display device. In response to a trigger that indicates that the first image stream is being presented as a primary image stream by the at least one second electronic device, the controller presents a prompt indicating that the participant should gaze toward the image capturing device.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Abstract: Actuator assembly includes a housing assembly, a ball screw, a ball nut, and a lock. The ball screw is rotationally mounted on and extends from the housing assembly, is coupled to receive an actuator drive torque, and is configured, upon receipt thereof, to rotate. The ball nut is rotationally supported on the ball screw and is configured, in response to rotation of the ball screw, to translate thereon between a stowed position and a deployed position. The lock is disposed at least partially within the housing assembly and is configured to move between a lock position and an unlock position. The lock prevents the ball nut from translating out of the stowed position when the lock is in the lock position and the ball nut is in the stowed position.

Abstract: Techniques for classes of tables for use in image compression are described. Classes of tables for use in image compression may provide increased compression without a reduction in quality compared to conventional image compression techniques. In at least some implementations, a plurality of table classes are generated that correspond to a particular camera subsystem, each table class containing a Huffman table and a quantization table. When an image captured by the particular camera subsystem is encoded, a table class is selected based on camera subsystem parameters associated with the image, and the Huffman table and the quantization table of the selected table class are utilized to encode the image.

Abstract: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.