Abstract: An apparatus for decoding transform coefficients using an alphabet of transform coefficient tokens includes a memory and a processor. The processor is configured to execute instructions stored in the memory to select a first probability distribution corresponding to a first context, select a second probability distribution corresponding to a second context, and, in response to determining that the second probability distribution includes a probability for a transform coefficient token, mix the first probability distribution and the second probability distribution to generate a mixed probability and entropy decode, from an encoded bitstream, the transform coefficient token using the mixed probability. The first probability distribution is defined for all tokens of the alphabet. The second probability distribution is defined over a non-trivial partition of the tokens.

Abstract: In one aspect, a fingerprint sensor device for fingerprint detection includes a light source configured to emit light at a wavelength. The fingerprint sensor device includes an array of sensor pixels to acquire an optical image indicative of a fingerprint. Each sensor pixel includes a photodetector to detect the emitted light reflected off of a target finger and output an optical signal based on the detected reflected light. Each sensor pixel includes a collimator disposed over the photodetector to direct the reflected light in a substantially vertical direction from above the photodetector toward the photodetector. Each sensor pixel includes sensor signal detection circuitry communicatively coupled to the photodetector to acquire the outputted optical signal.

Abstract: Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.

Abstract: The invention relates to a method of representing a virtual object in a view of a real environment which comprises the steps of providing image information of a first image of at least part of a human face captured by a first camera, providing at least one human face specific characteristic, determining at least part of an image area of the face in the first image as a face region of the first image, determining at least one first light falling on the face according to the face region of the first image and the at least one human face specific characteristic, and blending in the virtual object on a display device in the view of the real environment according to the at least one first light. The invention also relates to a system for representing a virtual object in a view of a real environment.

Abstract: Embodiments of the present disclosure provide a functional assembly, a display device and a terminal. The functional assembly includes a sensor unit, a first light-guiding component and a camera. The sensor unit includes an emitter and a receiver. The emitter is configured to emit probe light. The first light-guiding component is configured to introduce the probe light and transmit the probe light to the outside through the camera. The receiver is configured to receive detection light through the camera, the detection light being formed by reflection of the probe light against an obstacle. The functional assembly, the display device and the terminal in the present embodiment increase an area of a display region effectively, hence realizing an effect of large-screen display.

Abstract: Object-based intra-prediction encoding may include generating, by a processor in response to instructions stored on a non-transitory computer readable medium, an encoded block of a current frame of a video stream by encoding a current block from the current frame, including the encoded block in an output bitstream, and outputting or storing the output bitstream. Encoding the current block may include identifying a first spatial portion of the current block, wherein the first spatial portion includes a first pixel from the current block and omits a second pixel from the current block, encoding the first pixel using a first intra-prediction mode, and encoding the second pixel using a second intra-prediction mode, wherein the second intra-prediction mode differs from the first intra-prediction mode.

Abstract: A positioning unit mountable on a moving object includes at least one light source measuring unit and a processor. The light source measuring units have high directional sensitivity along a first axis and low directional sensitivity along a second axis orthogonal to the first axis to capture relative angular information of the moving object with respect to a plurality of stationary light sources in a space. The processor determines positioning information of the moving object at least from the output of the at least one light source measuring unit. Each light source measuring unit includes an optical arrangement and a linearly configured imaging sensor to receive light from the stationary light sources through the optical arrangement.

Abstract: A method of optimizing sleep of a subject using smart-home devices may include operating a smart-home system that is configured to operate in a normal mode and a sleep mode. The method may also include determining that the smart-home system should transition into the sleep mode. The smart-home devices may use a set of default parameters when operating in the sleep mode. The method may additionally include monitoring, while in the sleep mode, a sleep cycle of the subject using the smart-home devices. The method may further include detecting behavior of the subject that indicates that the sleep cycle of the subject is being interrupted or about to be interrupted, determining an environmental control that corresponds with the behavior of the subject, and adjusting the environmental control using the smart-home devices to prevent or stop the sleep cycle of the subject from being interrupted.

Abstract: A device and a method for determining a position of a user's body portion. The device includes a camera, configured to capture the body portion, and a display for providing visual feedback. A sensor determines at least one of a roll angle, a pitch angle, and a yaw angle of the device, and an interface receives picture data related to a pictorial representation of the body portion captured and sensor data related to the determined angle of the device. An analyzer analyzes, based on the picture data, whether the captured body portion is within a predetermined region of the picture and, based on the sensor data, whether at least one of the roll angle, the pitch angle, and the yaw angle is within a predetermined angle range.

Abstract: A parallel processing starting unit 3 that partitions an inputted image into tiles each having a predetermined size, and distributes tiles obtained through the partitioning, and N tile encoding units 5-1 to 5-N each of that carries out a prediction difference encoding process on a tile distributed thereto by the parallel processing starting unit 3 to generate a local decoded image are disposed, and each of N tile loop filter units 7-1 to 7-N determines a filter per tile suitable for a filtering process on the local decoded image generated by the corresponding one of the tile encoding units 5-1 to 5-N, and carries out the filtering process on the local decoded image by using the filter.

Abstract: [Object] To provide a novel and improved surgical face guard with which a three-dimensional image can be used safely during medical treatment. [Solution] Provided is a surgical face guard, including a frame configured to be worn on a head of a medical worker, and a polarization shield configured to cover at least an in-front-of-eyes part and a part of a side-of-face surface of the medical worker, and have a predetermined polarization property with respect to a three-dimensional image.

Abstract: A video measurement system includes an imaging system, a reticle projector for projecting an image of a reticle through the imaging system onto the test object, and a camera for capturing images of the test object together with the reticle image projected onto the test object through the imaging system. A selective reflector reflects the reticle image into the camera from a position along the imaging system in advance of the test object. A mode selector is operable in a first mode for directing the reticle image to the test object and from the test object to the camera and is operable in a second mode for directing the reticle image to the selective reflector and from the selective reflector to the camera.

Abstract: A multiview image display apparatus is provided. The multiview image display apparatus includes a depth adjuster configured to adjust a depth of an input image, a renderer configured to perform rendering on multiview images based on the depth-adjusted image, a crosstalk compensator configured to perform crosstalk inverse compensation on the rendered multiview images, a display configured to arrange the crosstalk inverse compensated multiview images in a preset arrangement pattern and display the crosstalk inverse compensated multiview images arranged in the preset arrangement pattern, and a controller configured to estimate crosstalk, and control the depth adjuster to adjust a depth value of a region that satisfies a preset condition to a preset depth value based on the estimated crosstalk.

Abstract: Systems, methods, and computer-readable media are disclosed for generating or modifying a holographic object based on user commands. Holographic projectors, which may be integrated with a user device, may be controlled to project a holographic grid that can be manipulated by a user to provide design commands to the user device. The user device may be configured to interpret the design commands and generate a holographic object based thereon. The holographic grid may include a plurality of cuboid cells. A user may, through gesture-based commands, indicate, for any given cell in the holographic grid, whether or not a portion of the holographic object should be generated in a three-dimensional spatial position corresponding to the cell. In addition, a user can provide gesture-based commands to selected cells of the holographic grid corresponding to portions of an existing holographic object that the user wishes to remove.

Abstract: A remote control door closure operating system is based on a central server with a backend database identifying a collection of controllable doors and a plurality of authorized users and corresponding credentials. A door interface unit is adapted to communicate with an authorized user to supply a live video stream of a respective door and to execute door opening and closing commands from the authorized user. A mobile device has a user application program configured to interact with the central server and door interface unit in order to 1) obtain configuration data, 2) authenticate the authorized user, 3) receive the live video stream, and 4) initiate the door opening and closing commands. Safe operation of the door opening/closing operation is encouraged by maximizing use of video surveillance before and during door operations and by conducting separate security authentications for video streaming and for door operation requests.

Abstract: A back light apparatus includes a plurality of light sources configured to generate light; and a light guide part, wherein the light guide part includes a light guide plate configured to change a path of the light; a first pattern part disposed on a first surface of the light guide plate and configured to emit the light in a first direction; and a second pattern part disposed on a second surface of the light guide plate and configured to emit the light in a second direction.

Abstract: A method for transmitting virtual reality (VR) content by a device is provided. The method includes obtaining at least two images captured from a target, arranging the at least two images and projecting the at least two images onto a planar surface to configure a 360-degree image corresponding to the VR content, detecting an overlapped region of the at least two images projected and generating rearrangement information about the overlapped region, and transmitting the rearrangement information and the at least two images.

Abstract: Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.

Abstract: An intelligent video analysis method and system logically selects only surveillance cameras associated with an event and assigns different ranks to the selected surveillance cameras according to the importance thereof. Thereafter, more video analysis resources are assigned to a surveillance camera of high importance, thereby rapidly and efficiently performing video analysis.

Abstract: A time of flight camera includes a light source, a first pixel, a time-to-digital converting, and a controller. The light source is configured to emit light towards an object to be reflected back to the time of flight camera as image light. The first pixel includes a photodetector to detect the image light and to convert the image light into an electric signal. The time-to-digital converter is configured to generate timing signals representative of when the light source emits the light and when the photodetector detects the image light. The controller is coupled to the light source, the first pixel, and the time-to-digital converter. The controller includes logic that when executed causes the time of flight camera to perform operations. The operations include determining a detection window for a round-trip time of the image light based, at least in part, on the timing signals and first pulses of the light.