Abstract: A stereo camera apparatus includes a first imaging unit including a first imaging optical system provided with a plurality of lens groups, and a first actuator configured to change a focal length by driving at least one of the plurality of lens groups of the first imaging optical system; a second imaging unit including a second imaging optical system provided with a plurality of lens groups, and a second actuator configured to change a focal length by driving at least one of the plurality of lens groups of the second imaging optical system; a focal length controller configured to output synchronized driving signals to the first and second actuators; and an image processing unit configured to calculate a distance to a subject by using images captured by the first imaging unit and the second imaging unit.

Abstract: A depth camera assembly (DCA) has a light source assembly, a mask, a camera assembly, and a controller. The light source assembly includes at least one light source. The mask is configured to generate an interference pattern that is projected into a target area. The mask has two openings configured to pass through light emitted by the at least one light source, and the light passed through the two openings forms an interference pattern across the target area. The interference pattern has a phase based on a position of the light source. The camera assembly is configured to capture images of a portion of the target area that includes the interference pattern. The controller is configured to determine depth information for the portion of the target area based on the captured images.

Abstract: The present invention provides a method and apparatus for encoding/decoding an image to enhance inter prediction. According to the present invention, the method includes: determining a first reference picture and a second reference picture of a current block; determining both a first reference block in the first reference picture and a second reference block in the second reference picture; partitioning the current block into a plurality of sub blocks; and obtaining a prediction block of each of the sub blocks on the basis of reference candidate block index information of each of the sub blocks.

Abstract: A method for sending forward error correction (FEC) configuration information by a sending apparatus in a multimedia system is provided. The method includes sending source FEC configuration information for an FEC source packet to a receiving apparatus, wherein the source FEC configuration information includes information related to an FEC source or repair packet that is sent first among at least one FEC source or repair packet if an FEC source or repair packet block includes the at least one FEC source or repair packet.

Abstract: An example method includes receiving, from one or more sensors associated with an autonomous vehicle, sensor data associated with a target object in an environment of the vehicle during a first environmental condition, where at least one sensor of the sensor(s) is configurable to be associated with one of a plurality of operating field of view volumes. The method also includes based on the sensor data, determining at least one parameter associated with the target object. The method also includes determining a degradation in the parameter(s) between the sensor data and past sensor data, where the past sensor data is associated with the target object in the environment during a second environmental condition different from the first and, based on the degradation, adjusting the operating field of view volume of the at least one sensor to a different one of the operating field of view volumes.

Abstract: The present invention relates to a method and apparatus for processing video image data, so as to apply different types of processing to different aspects of video image data. A detection process is arranged to detect a item, object or event appearing or occurring in a scene being viewed by an image device. An image data process is responsive to the detection of the object or event and to control information to process the image data for a portion of the scene where the object or event appears or occurs, differently from the processing of the image data associated with the rest of scene. For example, the object may be a person's face, and the face image data may be processed to produce high resolution data, the rest of the scene being provided in low resolution. This saves on processing, transmission and storage.

Abstract: Systems and methods for limiting driver distraction, such as improving (e.g., maintaining) driver attention to driving when driving distractions are detected, are provided. A system may include at least one sensor for determining an attention of a driver on a travel path and an interface module configured to reengage attention of the driver on the travel path. An image capturing device may detect an environment surrounding the vehicle. A logic device may determine whether the environment surrounding the vehicle includes an external distraction or whether the driver is distracted by an internal distraction. The at least one sensor may monitor the driver for a distracted behavior. The driver may be required to take an action when a distraction is determined. For example, the driver may interact with a driver monitoring system to verify reengagement to driving (e.g., by identifying a second vehicle on the roadway).

Abstract: In some embodiments, a method receives a current encoding stream of a video. A first measurement for a reference encoding stream is selected to measure a quality of the reference encoding stream. The method compares a second measurement of the current encoding stream to the first measurement of the reference encoding stream and outputs whether the current encoding stream is validated based on the comparing.

Abstract: A monitoring system for locating and classifying an event in a monitoring area by a computation unit including a visual 3D capturing unit providing geometric 3D information and an acoustic capturing unit providing an acoustic information of the monitoring area. An event detector is configured with an acoustic channel and a visual channel to detect the event. The acoustic channel is configured to detect the event as a sound event in the acoustic information and to determine a localization of the sound. The visual channel is configured to detect the event as a visual event in the geometric 3D information and to derive a localization of the visual event. The event detector provides detected events with a region of interest for detected event, which is analyzed in order to assign the detected event a class within a plurality of event classes.

Abstract: Systems and methods for capturing and rendering light fields for head-mounted displays are disclosed. A mediated-reality visualization system includes a head-mounted display assembly comprising a frame configured to be mounted to a user's head and a display device coupled to the frame. An imaging assembly separate and spaced apart :from the head-mounted display assembly is configured to capture light-field data. A computing device in communication with the imaging assembly and the display device is configured to receive light-field data from the imaging assembly and render one or more virtual cameras. Images from the one or more virtual cameras are presented to a user via the display device.

Abstract: An interactive user interface, such as a remote terminal user interface, is compressed prior to transmission to a video client. The compression may be performed independently of any other video that may be simultaneously transmitted to the video client. At the client side, two compressed video streams (remote user interface and video content) may be decompressed independently of each other. In some cases, technology already existing in some client devices, such as picture-in-picture (PiP) capability, may be leveraged to decompress the received compressed remote user interface without needing to modify the hardware of those client devices.

Abstract: Methods and systems for generating illumination modulation signals, image intensifier gain modulation signals, and image sensor shutter control signals in a three-dimensional image-capturing system with one or more frequency synthesizers is disclosed. The illumination modulation signals, image intensifier gain modulation signals, and image sensor shutter signal are all coherent with one another, being derived from a common clock source. The use of frequency synthesizer concepts allow for the use of rapid modulation phase changes for homodyne operation, and further allow the use of rapid modulation frequency changes to mitigate the effects of inter-camera interference.

Abstract: A system and method are provided for inter-ceding video in which encoder and decoder memory requirements associated with storage of motion information related to collocated coding units is reduced. In some embodiments motion information related to only a single collocated coding unit may be stored at the encoder and decoder. In operation, if the encoder determines that motion information for a current coding unit should replace the currently stored motion information for the currently stored motion information for the collocated coding unit, then the encoder can replace the motion information at the encoder and transmit an indicator with the current coding unit to signal to the decoder that the motion information currently stored should be updated or replaced with the motion information associated with the current coding unit.

Abstract: A teleoperations system may be used to selectively override conditions detected by an autonomous vehicle to enable the autonomous vehicle to effectively ignore detected conditions that are identified as false positives by the teleoperations system. Furthermore, a teleoperations system may be used to generate commands that an autonomous vehicle validates prior to executing to confirm that the commands do not violate any vehicle constraints for the autonomous vehicle. Still further, an autonomous vehicle may be capable of dynamically varying the video quality of one or more camera feeds that are streamed to a teleoperations system over a bandwidth-constrained wireless network based upon a current context of the autonomous vehicle.

Abstract: The present invention relates in general to microscopy systems. In particular, the present invention relates to microscopes rendering digital images of samples, with the capability to digitally control the focus of the microscope system, and the software used to control the operation of the digital microscope system. Further, the present invention relates to a microscope structure that allows for compact and multi-functional use of a microscope, providing for light shielding and control with samples that require specific light wavelength characteristics, such as fluorescence, for detection and imaging. The microscope is adjustable, with a structure that can move along range(s) of motion and degree(s) of freedom to allow for ease of access to samples, shielding of samples, and manipulation of a display apparatus.

Abstract: An endoscope apparatus includes a compression processing control unit configured to carry out a compression processing of compressing image data by using a compression parameter to generate compressed data, a monitor that is a display unit configured to display a display image corresponding to the image data, an information quantity detection unit configured to detect a quantity of information on an object contained in the image data, and a judgement unit configured to carry out a judgement processing of judging whether or not a judgement value corresponding to the quantity of information is smaller than a predetermined threshold. The image pickup of the object and the generation of the image data are continuously performed multiple times, and the judgement processing is carried out whenever the image data is generated. The compression parameter and the display image are determined based on a result of the judgement processing.

Abstract: An electronic device estimates a depth map of an environment based on matching reduced-resolution stereo depth images captured by depth cameras to generate a coarse disparity (depth) map. The electronic device downsamples depth images captured by the depth cameras and matches sections of the reduced-resolution images to each other to generate a coarse depth map. The electronic device upsamples the coarse depth map to a higher resolution and refines the upsampled depth map to generate a high-resolution depth map to support location-based functionality.

Abstract: An optical device may include an optical fiber having a fixed end and a free end a first actuator positioned at a actuator position between the fixed end and the free end and configured to apply a first force on the actuator position of the optical fiber such that a movement of the free end of the optical fiber in a first direction is caused, wherein the first direction is orthogonal to a longitudinal axis of the optical fiber; and a deformable rod disposed adjacent to the optical fiber, and having a first end and a second end, wherein the first end is connected to a first rod position of the optical fiber and the second end is connected to a second rod position of the optical fiber.

Abstract: Provided is a method of coding blocks of video data representing an image using an encoder, the method including identifying, by the encoder, a first region of the image and a second region of the image, a sum of a first number of pixels in the first region and a second number of pixels in the second region being equal to a total number of pixels of the image, and allocating, by the encoder, a first number of bits including base bits for encoding the first region, and a second number of bits including base bits and enhancement bits for encoding the second region, a sum of the first number of bits and the second number of bits being equal to a total number of bits for encoding all of the pixels, wherein the second region is encoded with a greater number of bits per pixel than the first region.

Abstract: Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.