Abstract: Endoscopes of this disclosure, such as colonoscopes, provide a broader field of view and allow extended access of surgical tools, and also enable efficient packing of all necessary elements in the tip section, while maintaining their functionality. Methods and systems of this disclosure include for capturing and displaying still and video images using an endoscope corresponding to a left-side looking viewing element, a front-looking viewing element, and a right-side looking viewing element of an endoscopic tip generated in a native aspect ratio.

Abstract: A video endoscope with lateral viewing direction including a shaft having proximal and distal ends, an objective lens in the distal end, an image sensor, and a main body at the proximal end. Where a first grip rotationally fixed relative to the shaft and the main body to rotate the shaft and the main body to change the viewing direction of the objective lens. A second grip is disposed on the main body to be rotatable relative to the shaft and the main body to maintain a horizontal position of the image sensor when the viewing direction is changed. An annular seal is disposed between the second grip and the main body and/or the first grip. The seal includes a circumferentially wound coil spring having windings oriented such that a surface vector of a surface spanned by a single winding points substantially in a circumferential direction of the seal.

Abstract: Disclosed are techniques for lane estimation. In aspects, a method includes receiving a plurality of camera frames captured by a camera sensor of a vehicle, assigning a first subset of the plurality of camera frames to a deep learning (DL) detector and a second subset of the plurality of camera frames to a computer vision (CV) detector based on availability of the DL and CV detectors, identifying a first set of lane boundary lines in a first camera frame processed by the DL detector, identifying a second set of lane boundary lines in a second camera frame processed by the CV detector, generating first and second sets of lane models based on the first and second sets of lane boundary lines, and updating a set of previously identified lane models based on the first set of lane models and/or the second set of lane models.

Abstract: An imaging apparatus mountable on a moveable apparatus includes a plurality of lighting-imaging units, each configured to capture an image of a different area on an object in a direction intersecting with a movement direction of the moveable apparatus. The each of the plurality of lighting-imaging units includes a light source unit configured to illuminate a partial area on the object as a lighting area; and an image capture unit configured to capture an image of an image capture area set within the lighting area. The plurality of lighting-imaging units captures an image of a non-overlapped lighting area on the object where the lighting areas of the plurality of lighting-imaging units do not overlap with each other.

Abstract: The present application provides a panoramic video picture quality display method and device. Attention position information of a user at different time points in a preset period of time is obtained, the attention position information includes a picture horizontal angle; an attention information curve is created in a polar coordinate system, the attention information curve takes the time point as a polar radius and the picture horizontal angle obtained at the time point as a polar angle; and a picture quality parameter can also be obtained and the picture quality parameter is marked on the attention information curve to display the picture quality parameter.

Abstract: Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface.

Abstract: There are disclosed various methods, apparatuses and computer program products for volumetric video encoding and decoding. In some embodiments of a method for encoding, obtaining one or more patches formed from a three-dimensional image information are obtained. The one or more patches represent projection data of at least a part of an object to a projection plane. Priority for at least one of the one or more patches is determined and the one or more patches are projected to a projection plane. Indication of the priority is encoded into or along a bitstream. In some embodiments of a method for decoding, one or more encoded patches formed from a three-dimensional image information are received. Also at least one indication of priority determined for at least one of the one or more patches is received and the patches are reconstructed in the order defined by the at least one indication of priority.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: Systems and methods for integrated graphics rendering are disclosed. In certain embodiments, the systems and methods utilize a graphics engine, a video encoding engine, and remote client coding engine to render graphics over a network. The systems and methods involve the generation of per-pixel motion vectors, which are converted to per-block motion vectors at the graphics engine. The graphics engine injects these per-block motion vectors into a video encoding engine, such that the video encoding engine may convert those vectors into encoded video data for transmission to the remote client coding engine.

Abstract: Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry decodes, from a coded video bitstream, coding information for a current picture. The coding information indicates that a geometric merge mode is enabled for a coding level higher than a picture level of the current picture and a maximum number of merge candidates satisfies a condition. The processing circuitry determines, based on a picture level parameter signaled for the current picture in the coded video bitstream, a maximum number of geometric merge mode merge candidates based on the picture level parameter and the maximum number of merge candidates. The maximum number of geometric merge mode merge candidates can be (i) 0 or (ii) one of 2 to the maximum number of merge candidates. The picture level parameter indicates the maximum number of geometric merge mode merge candidates.

Abstract: An acquisition circuit acquires first position information indicating a position and a first image captured by a camera at the position indicated by the first position information. A memory stores second position information indicating a prescribed position on a map and feature information extracted from a second image corresponding to the prescribed position. The second position information is associated with the feature information. A processor estimates the position indicated by the first position information on the basis of the second position information in the case that the position indicated by the first position information falls within a prescribed range from the prescribed position indicated by the second position information and the first image corresponds to the feature information.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: The disclosure provides a video decoding method and a video decoding device. An initial stream is received. In a first flow cycle, entropy decoding is performed on a plurality of first frames in parallel according to the initial stream by a plurality of entropy decoders of a plurality of processing cores, so as to generate a plurality of first decoded streams respectively corresponding to the first frames. In the first flow cycle, a second decoded stream is decoded by a plurality of coding tree unit decoders of the processing cores, so as to reconstruct a second frame.

Abstract: Systems and methods are described for reducing the complexity of using bi-directional optical flow (BIO) in video coding. In some embodiments, bit-width reduction steps are introduced in the BIO motion refinement process to reduce the maximum bit-width used for BIO calculations. In some embodiments, simplified interpolation filters are used to generate predicted samples in an extended region around a current coding unit. In some embodiments, different interpolation filters are used for vertical versus horizontal interpolation. In some embodiments, BIO is disabled for coding units with small heights and/or for coding units that are predicted using a sub-block level inter prediction technique, such as advanced temporal motion vector prediction (ATMVP) or affine prediction.

Abstract: A method comprising: obtaining a block of a picture or a picture in an encoder; determining if the block/picture is used for on-line learning; if affirmative, encoding the block/picture; reconstructing a coarse version of the block/picture or the respective prediction error block/picture; enhancing the coarse version using a neural net; fine-tuning the neural net with a training signal based on the coarse version; determining if the block/picture is enhanced using the neural net; and if affirmative, encoding the block/picture with enhancing using the neural net.

Abstract: An imaging device includes at least one unit pixel cell including a photoelectric converter and a voltage application circuit. The photoelectric converter includes a first electrode, a light-transmitting second electrode, a first photoelectric conversion layer containing a first material and a second photoelectric conversion layer containing a second material. The impedance of the first photoelectric conversion layer is larger than the impedance of the second photoelectric conversion layer. The voltage application circuit applies a first voltage or a second voltage having a larger absolute value than the first voltage selectively between the first electrode and the second electrode.

Abstract: Provided is an image decoding method performed by a decoding apparatus, which includes: decoding a first coding tree unit (CTU) in a current picture; storing motion information of the first CTU in a line buffer; and decoding a second CTU in the current picture by using the motion information of the first CTU stored in the line buffer, in which the first CTU is located around a left side of the second CTU or located around a top of the second CTU.

Abstract: A method of performing motion vector prediction for a current block in a picture is provided which includes: deriving a candidate for a motion vector predictor to code a current motion vector of the current block, from a first motion vector of a first block that is spatially adjacent or temporally adjacent to the current block; adding the derived candidate to a list of candidates; and deriving at least one motion vector predictor based on a selected candidate from the list of candidates, wherein the deriving of the candidate includes determining whether to derive the candidate from the first motion vector, based on a type of a current reference picture and a type of a first reference picture, the current reference picture being referred to from the current block using the current motion vector, the first reference picture being referred to from the first block using the first motion vector.