Abstract: A system includes a projection device configured to project images onto a receiver surface of a viewing device. The viewing device includes a screen having the receiver surface and a viewing surface opposite the receiver surface. The screen is configured to permit transmission of the images through the screen, from the receiver surface, to the viewing surface such that the images are viewable on the viewing surface. The viewing device also includes a focusing lens configured to focus the images for a user when wearing the viewing device. Further, the system includes a tracking system configured to determine a location and orientation of the receiver surface of the viewing device. The projection device is configured to adjust image properties of the images based at least in part on the determined location and orientation of the receiver surface.

Abstract: Extra precision can be added to motion vectors, such as those obtained using advanced motion vector prediction or frame rate upconversion, to produce improved motion compensation. The increased precision from neighboring blocks are used to provide increased precision to a motion vector for a current block. In various embodiments, the derivation of the increased precision can be found through various methods. In other embodiments, refined motion vectors can be saved for use in subsequent predictions, and a rate distorion optimized selection can be performed for determining whether or not to use the refinement.

Abstract: Articulating devices and processes for obtaining photographic images with the articulating device generally include providing the articulating device with a directional light reference for use in photographically obtaining an accurate rendition of a subject being photographed. In this manner, an incidental light reference at the subject location is provided prior to capturing an image of the subject.

Abstract: A method for projection includes projecting a pattern of structured light with a given average intensity onto a scene. A sequence of images is captured of the scene while projecting the pattern. At least one captured image in the sequence is processed in order to extract a depth map of the scene. A condition is identified in the depth map indicative of a fault in projection of the pattern. Responsively to the identified condition, the average intensity of the projection of the pattern is reduced.

Abstract: Provided is a video decoding method including obtaining a residue of a first bit-depth with respect to a current block by decoding a bitstream; when intra predicting the current block, generating a prediction block of the current block by using a block that is previously decoded at the first bit-depth and then stored in a buffer; and generating a reconstruction block of the first bit-depth by using the prediction block and the residue of the first bit-depth. When the current block is inter predicted, the video decoding method may further include generating a prediction block of a second bit-depth by using an image previously decoded at the second bit-depth, and generating the prediction block of the current block by changing the generated prediction block of the second bit-depth to the first bit-depth. The first bit-depth is higher than the second bit-depth.

Abstract: Aspects of the disclosure provide a method and an apparatus for video coding. In some examples, the apparatus includes processing circuitry. The processing circuitry decodes prediction information of a current block in a current picture from a coded video bitstream and the prediction information is indicative of inter prediction. The processing circuitry determines, for the current block, motion information including a first motion vector (MV) that has a x component and a y component where each of the x and y components has a fractional MV precision that is 2?N of a sample size in the current block and has one of 2L+1 MV values with the fractional MV precision. N is an integer larger than 2 and L is a positive integer. The processing circuitry reconstructs at least one sample of the current block based on the motion information.

Abstract: An image decoding method performed by a decoding apparatus according to the present disclosure includes receiving intra prediction information including at least one of most probable mode (MPM) flag information representing whether to derive an intra prediction mode for a current block based on MPM candidates for the current block or planar flag information representing whether to determine the intra prediction mode for the current block as a planar mode, deriving the intra prediction mode for the current block based on the MPM flag information and the planar flag information, deriving a predicted block for the current block based on the intra prediction mode for the current block, and generating a reconstructed picture based on the predicted block.

Abstract: A camera system includes an imager unit for recording image data and converting the image data into a digital image signal, and a video processing unit operatively connected to the imager unit for receiving the digital image signal from the imager unit and for generating a corrected video output signal. The video processing unit has a dead pixel correction unit and a subsequent non-uniform offset error correction unit. The dead pixel correction unit is configured for correcting the signal of confirmed dead pixels, which are referenced in a map of confirmed dead pixels associated to the dead pixel correction unit. The non-uniform offset error correction unit is configured for correcting readout amplifier non-uniformity and pixel level non-uniformity in the digital image signal. The non-uniform offset error correction unit is further configured for new dead pixel detection simultaneously to the pixel level non-uniformity correction.

Abstract: The invention provides a method for video surveillance in a video-surveillance system comprising the steps of capturing video images by a video camera observing an area of surveillance; wherein the capturing the video images comprises making objects in the area of surveillance irrecognizable or invisible in captured video images; receiving, by a processor, a predetermined signal; based on the received predetermined signal, generating a first control signal by the processor and transmitting the first control signal to the video camera; receiving the first control signal by the video camera; based on the received first control signal, stopping making objects in the area of surveillance irrecognizable or invisible in the captured video images.

Abstract: Various embodiments disclosed herein relate to systems and methods for analyzing and manipulating images and video. Methods as disclosed herein may include retrieving, using a processor, a multi-view interactive digital media representation (MIDMR) from a storage location, the MIDMR including a content model and a context model, the content model characterizing an object, and the context model characterizing scenery surrounding the object. The methods may also include receiving, using the processor, at least one dynamic content input associated with the retrieved MIDMR, the dynamic content input being received while a user is interacting with the MIDMR. The methods may further include implementing, using the processor, one or more modifications associated with the MIDMR based, at least in part, on the received at least one dynamic content input, the one or more modifications modifying a presentation and functionality of the MIDMR.

Abstract: Systems and methods are described, including a system (100) for automatically ascertaining a height characteristic of a contaminant (104) on a travel surface (102). The system (100) comprises an illumination and imaging device (106). At a first time, when the travel surface (102) is generally free of contaminant, the illumination and imaging device (106) illuminates the travel surface (102) with at least one light beam (119), and images at least one impingement of the at least one light beam (119). At a second time, when the travel surface (102) is covered by a layer of contaminant (104), the illumination and imaging device (106) illuminates the travel surface with a light beam (132), and images an impingement of the light beam on an impingement surface (107). In response to the imaging, a computer (130) calculates the height characteristic of the contaminant. Other embodiments are also described.

Abstract: A decoding method includes determining prediction motion information of a first decoding block, performing bidirectional prediction on the first decoding block based on the prediction motion information to obtain a first decoding prediction block, performing motion search of first precision on a prediction reference image block to obtain at least one second decoding prediction block, where a search location of the motion search is determined using a motion vector predictor and the first precision, calculating a difference between the first decoding prediction block and each second decoding prediction block to obtain a target motion vector predictor of the first decoding block, and updating the target motion vector predictor through motion search.

Abstract: An apparatus including: a lumen scanner (260) configured to scan a body lumen and acquire data for rendering a 3D model of the body lumen. The lumen scanner includes: an optical sensor (240) configured to acquire images of the body lumen while the lumen scanner is disposed inside the body lumen; and a fluid nozzle (202) configured to direct fluid onto an area of the body lumen imaged by the optical sensor while the lumen scanner is disposed inside the body lumen.

Abstract: Embodiments can enable motion capture cameras to be optimally placed in a set. For achieving this, a virtual set can be generated based on information regarding the set. Movement of a virtual actor or a virtual object may be controlled in the virtual set to simulate movement of the corresponding real actor and real object in the set. Based on such movement, camera aspects and obstructions in the set can be determined. Based on this determination, indication information indicating whether regions in the set may be viewable by one or more cameras placed in the physical set may be obtained. Based on the indication information, it can be determined an optimal placement of the motion capture cameras in the set. In some embodiments, an interface may be provided to show whether the markers attached to the actor can be captured by the motion capture cameras placed in a specific configuration.

Abstract: Provided is a calibration apparatus that performs calibration by using a captured image of a chart including a plurality of plane surfaces forming a predetermined angle ?. An imaging apparatus simultaneously images chart patterns depicted on each of the plane surfaces of the chart. In this instance, the chart pattern depicted on each of the plane surfaces of the chart is inversely projected in accordance with a distance from an imaging plane such that patterns in which feature points are uniformly distributed within the captured image are obtained.

Abstract: Provided is a video decoding method for reconstructing an image, the video decoding method including: obtaining reference image data from a bitstream; determining an attribute of the reference image data as a long-term reference attribute or a short-term reference attribute, according to a frequency of referring to the reference image data by image data to be decoded; storing the reference image data in a memory by using the attribute of the reference image data; and decoding an image by using the reference image data stored in the memory.

Abstract: Provided are systems and methods for processing 360-degree video data by obtaining at least one 360-degree rectangular formatted projected picture; detecting a projection boundary in the at least one 360-degree rectangular formatted projected picture; disabling at least one of an in-loop filtering, an intra-prediction, or an inter-prediction, based on detecting the at least one 360-degree rectangular formatted projected picture comprises the projection boundary; and generating an encoded video bitstream.

Abstract: Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

Abstract: System and Method pertaining to the modification and integration of an existing consumer digital camera, for example, with an optical imaging module to enable point and shoot fundus photography of the eye. The auto-focus macro capability of existing consumer cameras is adapted to photograph the retina over an extended diopter range, eliminating the need for manual diopter focus adjustment. The thru-the-lens (TTL) auto-exposure flash capability of existing consumer cameras is adapted to photograph the retina with automatic flash exposure eliminating the need for manual flash adjustment. The consumer camera imaging sensor and flash are modified to allow the camera sensor to perform both non-mydriatic focusing of the retina using infrared illumination and standard color flash photography of the retina without the need for additional imaging sensors or mechanical filters.

Abstract: An encoding method which allows reduction in the amount of codes is provided. The encoding method includes: setting step S11 for setting a quantization matrix set; quantization step S12 for performing quantization on a target block using the selected quantization matrix; and encoding step S13 for encoding, in a mutually associated manner, the target block which has been subjected to the quantization and identification information for identifying the quantization matrix set which has been set. In setting step S11, a quantization matrix set selected from a plurality of quantization matrix sets is set as the quantization matrix set to be used to perform the quantization on the target block, the plurality of quantization matrix sets including a custom quantization matrix set which is arbitrarily specified and a plurality of defined quantization matrix sets which have been respectively defined in advance.