Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. In one example case, the techniques are implemented in a user's computer system wherein initial threshold detection (image disturbance) and optionally user presence (e.g., hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. The threshold detection and/or target presence stages can be selectively disabled for a hold-off period. The hold-off period may be, for example, in the range of 50 to 1000 mSec and triggered in response to an indication that a user of the system is unlikely to be making navigational gestures or that the system is not ready to process video, thereby conserving power by avoiding processing of video frames free of navigation gestures.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for efficient hand-based navigational gesture processing of a video stream, in accordance with some embodiments. The stepped and distributed nature of the process allows for a reduction in power needed to transfer image data from a given camera to memory prior to image processing. In one example case, for instance, the techniques are implemented in a user's computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. The computer system may be any mobile or stationary computing system having a display and camera that are internal and/or external to the system.
Abstract:
In one example a electronic device comprises a housing, at least one heat generating component disposed within the housing, at least one internal heat dissipation device positioned proximate the at least one heat generating component, and a thermal interface defined in at least a portion of the housing to allow direct thermal contact between the heat dissipation device and an external heat dissipation device. Other examples may be described.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for hand-based navigational gesture processing. In one example case, for instance, the techniques are implemented in a computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. In some cases, image processing and communication of pixel information between various processing stages which lies outside a markered region is suppressed. In some embodiments, the markered region is aligned with, a mouse pad or designated desk area or a user input device such as a keyboard. Pixels evaluated by the system can be limited to a subset of the markered region.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for hand-based navigational gesture processing. In one example case, for instance, the techniques are implemented in a computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. In some cases, image processing and communication of pixel information between various processing stages which lies outside a markered region is suppressed. In some embodiments, the markered region is aligned with, a mouse pad or designated desk area or a user input device such as a keyboard. Pixels evaluated by the system can be limited to a subset of the markered region.
Abstract:
Particular embodiments described herein provide for an electronic device, such as a notebook computer, laptop, or tablet that includes a circuit board coupled to a plurality of electronic components (which may include any type of components, elements, circuitry, etc.). One particular example implementation of a docking base comprises a base housing including at least one alignment pin disposed within the base housing. Each of the at least one alignment pin is configured to engage a corresponding alignment pin receptacle of a device housing of an electronic device. The base housing further includes an attachment mechanism coupled to the at least one first alignment pin, wherein the attachment mechanism is configured to cause the at least one first alignment pin to extend at least partially from the base housing when the device housing is within a predetermined proximity of the base housing.
Abstract:
Systems and methods may receive data from a data interface of a base platform, convert the data into an analog signal and modulate the analog signal onto a direct current (DC) power line coupled to a connector of the base platform. Additionally, the modulated analog signal may be received from a DC power line coupled to a connector of a tablet platform, wherein the modulated analog signal is converted to a digital signal and demodulated to recover the data. In one example, the data includes user input data associated with an input device including one or more of a mouse, a keyboard, a keypad or a touchpad.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for hand-based navigational gesture processing. In one example case, for instance, the techniques are implemented in a computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. In some cases, image processing and communication of pixel information between various processing stages which lies outside a markered region is suppressed. In some embodiments, the markered region is aligned with, a mouse pad or designated desk area or a user input device such as a keyboard. Pixels evaluated by the system can be limited to a subset of the markered region.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for hand-based navigational gesture processing. In one example case, for instance, the techniques are implemented in a computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. In some cases, image processing and communication of pixel information between various processing stages which lies outside a markered region is suppressed. In some embodiments, the markered region is aligned with, a mouse pad or designated desk area or a user input device such as a keyboard. Pixels evaluated by the system can be limited to a subset of the markered region.
Abstract:
Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. The techniques are particularly well-suited for hand-based navigational gesture processing. In one example case, for instance, the techniques are implemented in a computer system wherein initial threshold detection (image disturbance) and optionally user presence (hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. In some cases, image processing and communication of pixel information between various processing stages which lies outside a markered region is suppressed. In some embodiments, the markered region is aligned with, a mouse pad or designated desk area or a user input device such as a keyboard. Pixels evaluated by the system can be limited to a subset of the markered region.