Abstract: According to an embodiment, a method may include segmenting a first image into a first block and a second block, generating first compression loss data corresponding to the first block and second compression loss data corresponding to the second block, identifying a first compression property, segmenting a second image into a third block and a fourth block and compressing the second image, wherein the compressing includes compressing the third block according to the first compression property, generating third compression loss data corresponding to the third block, when a difference between the first compression loss data and the third compression loss data meets a first predetermined condition, compressing the fourth block according to the first compression property, and when the difference meets a second predetermined condition, compressing the fourth block according to a second compression property. Other various embodiments are possible as well.

Abstract: According to one embodiment of the present invention, a video information encoding method comprises: a step of predicting information of the current coding unit to generate prediction information; and a step of determining whether the information of the current coding unit coincides with the prediction information. If the information of the current coding unit coincides with the prediction information, a flag indicating that the information of the current coding unit coincides with the prediction information is encoded and transmitted. If the information of the current coding unit does not coincide with the prediction information, a flag indicating that the information of the current coding unit does not coincide with the prediction information is encoded and transmitted and the information of the current coding unit is encoded and transmitted.

Abstract: An endoscopic video system and method using a camera with a single color image sensor, for example a CCD color image sensor, for fluorescence and color imaging and for simultaneously displaying the images acquired in these imaging modes at video rates in real time is disclosed. The tissue under investigation is illuminated continuously with fluorescence excitation light and is further illuminated periodically using visible light outside of the fluorescence excitation wavelength range. The illumination sources may be conventional lamps using filters and shutters, or may include light-emitting diodes mounted at the distal tip of the endoscope.

Abstract: An example device for decoding video data includes a memory for storing video data, and one or more processors implemented in circuitry and configured to construct an intra-prediction candidate list for a current chroma block of the video data indicating candidate intra-prediction modes for the current chroma block, wherein the intra-prediction candidate list indicates a subset of allowed luminance (luma) candidate intra-prediction modes, determine cost (e.g., sum of absolute transform difference (SATD)) values for each of the candidate intra-prediction modes in the intra-prediction candidate list for the current chroma block, and generate a prediction block for the current chroma block using one of the candidate intra-prediction modes indicated by the intra-prediction candidate list according to the cost values (e.g., the candidate intra-prediction mode having the lowest cost value).

Abstract: The disclosure describes example techniques for determining a context used for encoding or decoding flags used to indicate a value of a coefficient. The techniques also relate to determining a quantization or dequantization factor to use for the coefficient. For determining the context and the quantization or dequantization factor, a video coder may determine values of flags used for encoding or decoding a previous coefficient and use the determined values of the flags for determining the context and the quantization or dequantization factor for the current coefficient.

Abstract: A method includes determining a first location, within a first viewing window, of a first eye of a user based on image data from an image sensor. The first viewing window corresponds to a first projector of a plurality of projectors. The method further includes determining a second location, within a second viewing window, of a second eye of the user based on the image data. The second viewing window corresponds to a second projector of the plurality of projectors. The method further includes initiating projection, via the first projector, of a first image depicting a first view of a three-dimensional scene. The first image is selected based on the first location. The method further includes initiating projection, via the second projector, of a second image depicting a second view of the three-dimensional scene. The second image is selected based on the second location.

Abstract: A method and system for synchronizing a lidar and a camera on an autonomous vehicle. The system instructs the camera to detect light columns transmitted by the lidar. The system iterates through various start times for the camera. The system instructs the lidar to emit a plurality of light columns at a lidar frequency. The system instructs the camera to capture images at a camera frequency starting at each start time. The system analyzes the image data received from the cameras to identify light columns captured in the images. The system calculates an alignment score for each of the many start times based on the identified light columns. The start time with the optimal alignment score is selected and used to synchronize the lidar and the camera. With lidar data detected by the synchronized lidar and image data captured by the synchronized camera, the system may navigate the autonomous vehicle.

Abstract: An image device includes a first image capture module, a second image capture module, and an image processor. The first image capture module has a first field of view, and the second image capture module has a second field of view different from the first field of view. The image processor is coupled to the first image capture module and the second image capture module. The image processor sets a virtual optical center according to the first image capture module, the second image capture module, and a target visual scope, and generates a display image corresponding to the virtual optical center.

Abstract: A method of determining the characteristics of a scene around a vehicle comprises capturing a stereo pair of images of the scene and processing the images to produce a depth map of the scene. Each pixel in the depth map is assigned a value that corresponds to the range of a corresponding region in the scene, the pixels being arranged in a grid of rows and columns with each column of pixels in the grid corresponding to a vertically oriented set of regions in the scene and each row a horizontally oriented set of regions in the scene. The values for one or more columns of pixels in the depth map are binned to form a corresponding histogram, each bin in the histogram having a count value that corresponds to the number of pixels in the column that have a depth within the range assigned to the bin.

Abstract: A method of estimating a virtual contour of an insulating material is disclosed. The method includes the following steps: obtaining a first and a second images at a pair of diagonal locations of the insulating material respectively; determining a first and a second corner locations from the first and the second images respectively; selecting a first set of longitudinal end-point positions and a first set of transverse end-point positions within a range between a first specific distance and a second specific distance from the first corner location; selecting a second set of longitudinal end-point positions and a second set of transverse end-point positions within a range between the first specific distance and the second specific distance from the second corner location; and determining a first transverse axis direction, a first longitudinal axis direction, a second transverse axis direction and a second longitudinal axis direction based on these positions.

Abstract: Systems, apparatuses, and methods for performing efficient bitrate control of video compression are disclosed. Logic in a bitrate controller of a video encoder receives a target block bitstream length for a block of pixels of a video frame. When the logic determines a count of previously compressed blocks does not exceed a count threshold, the logic selects a quantization parameter from a full range of available quantization parameters. After encoding the block, the logic determines a parameter based on a first ratio of the achieved block bitstream length to an exponential value of an actual quantization parameter used to generate the achieved block bitstream length. For another block, when the count exceeds the count threshold, the logic generates a quantization parameter based on a ratio of the target block bitstream length to an average of parameters of previously encoded blocks.

Abstract: A structured description is generated for a digital image of a scene. The structured description may include a first feature and a second feature of the scene. The structured description may also include a first detail of the first feature and a second detail of the second feature. A portable braille sequence printer may generate braille text of the first and second features using the structured description. The portable braille sequence printer may further generate additional braille text regarding the first detail in response to a prompt from the user regarding the first feature.

Abstract: A structured description is generated for a digital image of a scene. The structured description may include a first feature and a second feature of the scene. The structured description may also include a first detail of the first feature and a second detail of the second feature. A portable braille sequence printer may generate braille text of the first and second features using the structured description. The portable braille sequence printer may further generate additional braille text regarding the first detail in response to a prompt from the user regarding the first feature.

Abstract: Systems, method, and devices are provided for transmitting data. In one aspect, a method includes providing a plurality of communication modules, each of the plurality of communication modules configured to transmit data using a different communication method; establishing, with the plurality of communication modules, a plurality of simultaneous respective communication links to a remote terminal; selecting, based on a switching criterion, at least one of the plurality of simultaneous respective communication links to be used to transmit data; and transmitting data via said at least one of the plurality of simultaneous respective communication links selected based on the switching criterion.

Abstract: A system and method for traffic violation detection using a mobile vehick-mounted unit (20) with multiple imaging cameras (32-37), for recording and processing as evidence. Tire-mobile unit (20) includes a monitoring device (60) that stores videos locally on a hard drive (6:2), and an input, device (65) by which the operator flags potential, infractions observed visually and compile a potential infraction log including links to relevant video frames, date and time, and geolocation. At the end of the operator's shift, the infraction log and videos are uploaded to a data vault (80) for video screening of the potential infractions by a desk operator who compiles a listing of apparent infractions inclusive of time/date, location, violation type, vehicle plates, and a URL link to the data vault (SO), This listing is transmitted to police (52) running a web application (53) who can double-check and verify suspected infractions and directly compose a traffic citation.

Abstract: A medical imaging apparatus includes: an image sensor configured to capture a subject image of a subject gathered by a fiberscope and emitted from proximal ends of optical fibers; a lens unit including a focus lens moving along an optical axis to adjust a focus, the lens unit being configured to form the subject image emitted from the proximal ends of the optical fibers on the image sensor; lens driving circuitry configured to move the focus lens along the optical axis; and a lens controller configured to perform, when the fiberscope is connected, a first auto-focus control of operating the lens driving circuitry to move the focus lens in a first movement range, evaluating a focusing state of the subject image, and positioning the focus lens at a position deviated from a first lens position at which the proximal ends of the optical fibers are focused.

Abstract: The invention provides a distinguishing device for distinguishing, between vehicles passing in front of the device, a heavy goods vehicle (HGV) from a coach including over its entire length windows between a top side member and a bottom side member, the device comprising: a vertical stack of emitters of incident beams towards at least top halves of flanks of at least some of the vehicles; a vertical stack of receivers for detecting the beams that are reflected by the flanks of said vehicles; calculation means for calculating the time that elapses between each emission of a beam and the detection of the corresponding reflected beam in order to establish an image of each vehicle flank; and image processor means for detecting therein the absence or the presence of a top side member.

Abstract: An observation system includes a microscope optical system, an image pickup unit, an image pickup control unit, a detection unit, and an observation control unit. The image pickup unit is configured to take an image of a field-of-view range of the microscope optical system. The image pickup control unit is configured to cause the image pickup unit to take images of an observation sample in the field-of-view range at a plurality of focal positions and generate detection images. The detection unit is configured to detect a three-dimensional position of an observation target object in the observation sample from the detection images. The observation control unit is configured to fit the field-of-view range of the microscope optical system to the three-dimensional position.

Abstract: A camera attachment for measuring a temperature of a surface, and related methods of measuring the temperature of the surface, employ a temperature reactive material that is thermally coupled with the surface and imaged to provide image data of the temperature reactive material that is analyzed to measure the temperature. A camera attachment for measuring a temperature of a surface includes a distal surface configured to be thermally coupled with the surface, a frame configured to be coupled with a camera that has a field of view, and a temperature reactive material coupled with the frame and thermally coupled with the distal surface. The frame positions the temperature reactive material within the field of view of the camera so that an image captured by the camera includes at least a portion of the temperature reactive material.

Abstract: Cameras may be used to acquire information about objects in three-dimensional (3D) space. Described herein are techniques for determining a calibration between pixel coordinates in a two-dimensional image acquired by the camera and coordinates in the 3D space. In one implementation, the target assembly is positioned at a known 3D location and particular optical targets thereon having known 3D coordinates are activated sequentially. Images are acquired and processed to determine the pixel coordinates of the respective optical targets. Calibration data, such as a transformation matrix, is generated based on the information about which optical target is active in a given acquired image, the pixel coordinates of the optical target in that acquired image, and the known 3D coordinates of the individual optical target.