Abstract: A method of and an apparatus for controlling intra prediction for decoding of a video sequence are provided. The method includes setting a table including a plurality of intra prediction modes respectively corresponding to a plurality of intra prediction angles, the plurality of intra prediction angles including diagonal intra prediction angles respectively corresponding to diagonal directions of all shapes of coding units, and selecting, for decoding the video sequence, one of the plurality of intra prediction modes, from the set table.

Abstract: An encoder includes circuitry and memory coupled to the circuitry. In operation, the circuitry determines one or more tiles included in a picture and one or more subpictures included in the picture, according to a constraint condition that each tile of the one or more tiles includes at least one subpicture of the one or more subpictures entirely and the each tile does not include another subpicture of the one or more subpictures partially.

Abstract: Calibration of parameters of an endoscopic or laparoscopic camera is conducted while the camera is in use capturing images of a surgical procedure at a surgical site. The surgical procedure is performed using a surgical instrument marked with a fiducial pattern. A processor receives image data from images captured by the camera and uses machine vision to detect points of the pattern, and carries out an optimization to determine the 3D pose of the surgical instrument relative to the camera and the camera parameters. Once calibration parameters are determined, 3D measurements between measurement points in the body cavity may be estimated.

Abstract: An image decoding method, a decoder and a storage medium are provided. The method includes: receiving code stream data, and parsing the code stream data to obtain a coding tree unit corresponding to the code stream data; parsing an i-th node of i-th layer corresponding to the coding tree unit to obtain i-th state parameter and i-th flag parameter corresponding to the i-th node; performing detection processing on the i-th node according to the i-th state parameter and the i-th flag parameter to obtain an i-th detection result; acquiring a (i+1)th node of a (i+1)th layer corresponding to the coding tree unit; continuing to perform detection processing on the (i+1)th node, and traversing all the nodes corresponding to the coding tree unit until all the coding unit data corresponding to the coding tree unit is obtained; and generating a decoded image corresponding to the code stream data.

Abstract: An optical satellite remote sensing transfer calibration method based on near-space aerostat, including: performing a temporal-spatial matching between first observation image data of a target region collected by a benchmark radiometric payload and second observation image data of the target region collected by a satellite-borne payload, to obtain a plurality of matchups of observation image data (S1); obtaining an average radiance of the benchmark radiometric payload from a plurality of first observation image data (S2); obtaining an average DN captured by the satellite payload in the target region from a plurality of second observation image data (S3); obtaining a matching radiance for an observation band of the benchmark radiometric payload corresponding to the satellite payload based on the average radiance of the benchmark radiometric payload (S4); and obtaining a calibration coefficient of the satellite payload based on the matching radiance and the average DN (S5).

Abstract: A reference picture marking process and a reference picture list management process is handled in a unified reference picture marking and reference picture list management process. A new idle reference picture list may be used for handling reference pictures that are not used for reference in the current picture. Differential coding of picture order count may be used to increase coding efficiency. The reference picture management syntax structure may be sent in the picture parameter set for improved coding efficiency e.g. in regular GOP (group of pictures) arrangements.

Abstract: An image decoding method according to the present document comprises the steps of: when an ISP is applied to a current block and the width or height of a sub-partition block is less than or equal to 2, applying LFNST to the transform coefficients to derive modified transform coefficients; deriving residual samples for the objective block on the basis of an inverse primary transform for the modified transform coefficients; and generating a reconstructed picture on the basis of the residual samples for the objective block, wherein when the sub-partition block is an N×2 block or a 2×N block, (M×2) or (2×M) number of modified transform coefficients are derived by applying an LFNST matrix to a predetermined number of transform coefficients in an upper left M×2 area or 2×M (M?N) area of the sub-partition block.

Abstract: A method for decoding a video according to the present invention may comprise: determining merge target candidate blocks of a current coding block, specifying at least one among the merge target candidate blocks, and generating a merged block by merging the specified merge target candidate block and the current coding block.

Abstract: A method of video processing includes making a determination for a conversion between a video region of a video and a bitstream representation of the video to use a cross-component adaptive loop filtering (CC-ALF) tool for refining chroma samples values using luma sample values; and performing the conversion based on the determination, wherein the refining includes correcting the chroma sample values using a final refinement that is a further refinement of a first refinement value determined by selectively filtering the luma sample values.

Abstract: A dual mode camera may have a camera module and a light source. The camera module may include a quasi-bandpass filter for passing visible light and passing an attenuated portion of near-infrared light to an image sensor for detection. A processor may determine an ambient lighting condition corresponding with an amount of ambient visible light detected by a photodetector. In response to a first ambient lighting condition, the processor may send a first control signal to an encoder to encode image data in monochrome, and another signal to activate a light source. In response to a second ambient lighting condition, the processor may send a second control signal to the encoder to encode image data in color. The light source may emit a band of near-infrared light corresponding with an atmospheric absorption band. The quasi-bandpass filter may attenuate a portion of near-infrared light corresponding with the same atmospheric absorption band.

Abstract: A display module installed on a device of a vehicle is disclosed. The device includes an airbag module having an inflator and an airbag, and the airbag is configured to be inflated by a gas produced by the inflator. The display module includes a display panel. The display panel is disposed on the airbag module when the airbag is not inflated by the gas. The display panel is secured to the device of the vehicle when the airbag is inflated by the gas.

Abstract: There is provided a technique that includes a triangle merging candidate list constructor structured to construct a triangle merging candidate list including spatial merging candidates, a first triangle merging candidate selector structured to select, from the triangle merging candidate list, a first triangle merging candidate that is uni-prediction, and a second triangle merging candidate selector structured to select, from the triangle merging candidate list, a second triangle merging candidate that is uni-prediction, in which in a region where motion compensation by weighted averaging by the first triangle merging candidate and the second triangle merging candidate is performed, uni-prediction motion information of one of the first triangle merging candidate or the second triangle merging candidate is saved.

Abstract: Encoding an extended-reality (XR) video frame may include obtaining an XR video frame comprising a background image and a virtual object; obtaining, from an image renderer, a first region of the background image over which the virtual object is overlaid; dividing the XR video frame into a virtual region and a real region, wherein the virtual region comprises the first region of the background image and the virtual object and the real region comprises a second region of the background image; determining, for the virtual region, a corresponding first quantization parameter based on an initial quantization parameter associated with virtual regions; determining, for the real region, a corresponding second quantization parameter based on an initial quantization parameter associated with real regions; and encoding the virtual region based on the corresponding first quantization parameter and the real region based on the corresponding second quantization parameter.

Abstract: A method of decoding video data is performed by an electronic apparatus. The electronic apparatus receives, from a video bitstream, one or more syntax elements indicating that a coding block is coded under a palette mode. The electronic apparatus divides the coding block into multiple segments, each of the multiple segments having a set of index values that is independent from another one of the multiple segments. The electronic apparatus receives, from the video bitstream, index values associated with each of the multiple segments and a palette table associated with the coding block and decodes the multiple segments in parallel according to the index values and the palette table associated with the coding block.

Abstract: Calibration of parameters of an endoscopic or laparoscopic camera is conducted while the camera is in use capturing images of a surgical procedure at a surgical site. The surgical procedure is performed using a surgical instrument marked with a fiducial pattern. A processor receives image data from images captured by the camera and uses machine vision to detect points of the pattern, and carries out an optimization to determine the 3D pose of the surgical instrument relative to the camera and the camera parameters.

Abstract: Intra sub-partitions (ISP) may be enabled for a current block, for example, based on an ISP indication. The block may be partitioned into multiple sub-partitions, and a sub-partition may belong to a prediction unit (PU). A sub-partition width for the current block and a minimum prediction block width may be obtained. A PU corresponding to a current sub-partition may be determined based on the sub-partition width and the minimum prediction block width. For example, when the sub-partition width is less than the minimum prediction block width, the PU may include multiple sub-partitions. In examples, the minimum prediction block width may be four samples. Reference samples may be determined, and the PU may be predicted using the reference samples.

Abstract: An image-based acceptance learning device (2) learns a result of determination as to whether a planar object (1) is acceptable or defective based on at least one of a three-dimensional shape or a color on a surface of the planar object (1). The device (2) includes a surface image receiver (3) to receive an inputted two-dimensional data being image data of the surface of the planar object (1), a determination information receiver (4) to receive an inputted determination information indicating the result of determination as to whether the planar object (1) corresponding to the two-dimensional data is acceptable or defective, and a learner (5) to learn, based on the two-dimensional data and the determination information, a relevant area (1R) including the three-dimensional shape or the color on the surface in the two-dimensional data. The relevant area is a basis for the determination information.

Abstract: An analyte testing system for quantifying the presence of an analyte in a specimen by immunochromatography. The system comprises a camera test card, depicting a test cassette (10) with an immunochromatography and a handheld processor device (16) comprising a digital camera (16a), a source of light (16b) and a processor (16c), which software and hardware (16c) are configured to make a pose estimation of camera and object and the measures of light in the region of interest of the immunochromatography. The system allows an automatic camera calibration and certification as a scanner for use in point-of-care diagnostics.

Abstract: Systems and methods for automated detection and classification of objects in a fluid of a receptacle such as, for example, a soft-sided receptacle such as a flexible container. The automated detection may include initiating movement of the receptacle to move objects in the fluid contained by the receptacle. Sequential frames of image data may be recorded and processed to identify moving objects in the image data. In turn, at least one motion parameter of the objects may be determined and utilized to classify the object into at least one of a predetermined plurality of object classes. For example, the object classes may at least include a predetermined class corresponding to bubbles and a predetermined class corresponding to particles.

Abstract: A method is provided that includes receiving pictures of a video sequence in a video encoder, and encoding the pictures to generate a compressed video bit stream that is transmitted to a video decoder in real-time, wherein encoding the pictures includes selecting a picture to be encoded as a delayed duplicate intra-predicted picture (DDI), wherein the picture would otherwise be encoded as an inter-predicted picture (P-picture), encoding the picture as an intra-predicted picture (I-picture) to generate the DDI, wherein the I-picture is reconstructed and stored for use as a reference picture for a decoder refresh picture, transmitting the DDI to the video decoder in non-real time, selecting a subsequent picture to be encoded as the decoder refresh picture, and encoding the subsequent picture in the compressed bit stream as the decoder refresh picture, wherein the subsequent P-picture is encoded as a P-picture predicted using the reference picture.