Abstract: A method and device derive a motion vector difference of a current block based on layer information and index information, where the layer information indicates a current layer to which a motion vector difference used in inter prediction of the current block belongs and index information indicates a specific combination in the current layer, and thereby the MVD coding efficiency may be significantly increased by coding the horizontal and vertical components of the MVD together based on layer information and index information.

Abstract: An acquisition equipment, a sound acquisition method, a sound source tracking system and a sound source tracking method are provided. The acquisition equipment includes an audio acquisition device, an image acquisition device, an information processing device and an angle control device. The audio acquisition device is configured to acquire the sound of a target object; the image acquisition device is configured to acquire an optical image including an acquisition object; the information processing device is configured to process the optical image to determine position information of the target object; and the angle control device is configured to receive the position information of the target object sent by the information processing device, and control the sound pick-up angle of the audio acquisition device according to the position information of the target object.

Abstract: Provided is a method of decoding an image, the method including: determining at least one prediction unit included in a current frame that is one of at least one frame forming the image; determining a reference region to be referred to by a current prediction unit that is one of the at least one prediction unit; changing a sample value included in at least one of the current prediction unit and the reference region, based on an analyzing result of a sample value of the reference region; determining a sample value included in the current prediction unit, based on a result of changing the sample value; and decoding the image based on the determined sample value of the current prediction unit.

Abstract: A method of decoding a bitstream by an electronic device is provided. The electronic device receives the bitstream. In addition, the electronic device determines, from general constraints information in the bitstream, a maximum constraint indication used for determining a maximum value of a parameter indication included in a sequence parameter set of the bitstream. The maximum constraint indication does not impose a constraint on the maximum value of the parameter indication when the maximum constraint indication is equal to zero.

Abstract: Provided is a method of decoding an image, the method including: determining at least one prediction unit included in a current frame that is one of at least one frame forming the image; determining a reference region to be referred to by a current prediction unit that is one of the at least one prediction unit; changing a sample value included in at least one of the current prediction unit and the reference region, based on an analyzing result of a sample value of the reference region; determining a sample value included in the current prediction unit, based on a result of changing the sample value; and decoding the image based on the determined sample value of the current prediction unit.

Abstract: There is provided a method for processing an input signal (700). The input signal (700) is processed at least by converting the input signal (700) from a first colour space to a second colour space, to produce a first processed signal. The processed signal is encoded by a first encoding module (703) to generate a first encoded signal (710). A decoded signal is generated by decoding the first encoded signal (710). The decoded signal is processed at least by converting the decoded signal from the second colour space to the first colour space to produce a second processed signal. The second processed signal and the input signal (700) are processed by a second encoding module (707) to generate a second encoded signal (720).

Abstract: Embodiments described herein are generally directed to a device that monitors for the presence of objects passing through or impinging on a virtual shell near the device, referred to herein as a “light curtain”, which is created by rapidly rotating a line sensor and a line laser in synchrony. The boundaries of the light curtain are defined by a sweeping line defined by the intersection of the sensing and illumination planes.

Abstract: Given a sequence of images in a first codeword representation, methods, processes, and systems are presented for integrating reshaping into a next generation video codec for encoding and decoding the images, wherein reshaping allows part of the images to be coded in a second codeword representation which allows more efficient compression than using the first codeword representation. A variety of architectures are discussed, including: an out-of-loop reshaping architecture, an in-loop-for intra pictures only reshaping architecture, an in-loop architecture for prediction residuals, and a hybrid in-loop reshaping architecture. Syntax methods for signaling reshaping parameters, and image-encoding methods optimized with respect to reshaping are also presented.

Abstract: An optical microscope device includes: a first illumination optical system including a light source that emits illumination light for illuminating a specimen an LCOS spatial light modulation element that controls a polarization state of the illumination light, a first illumination optical member that uniformly illuminates the LCOS spatial light modulation element, and a polarization optical element that controls a transmission state of the illumination light directed to the specimen from the LCOS spatial light modulation element in response to the polarization state of the illumination light; a second illumination optical system including a second illumination optical member that images a light flux from the first illumination optical system on a specimen surface; and an imaging optical system for imaging the specimen surface.

Abstract: A three-dimensional (3D) measuring instrument includes a registration camera and a surface measuring system having a projector and an autofocus camera. For the instrument in a first pose, the registration camera captures a first registration image of first registration points. The autofocus camera captures a first surface image of first light projected onto the object by the projector and determines first 3D coordinates of points on the object. For the instrument in a second pose, the registration camera captures a second registration image of second registration points. The autofocus camera adjusts the autofocus mechanism and captures a second surface image of second light projected by the projector. A compensation parameter is determined based at least in part on the first registration image, the second registration image, the first 3D coordinates, the second surface image, and the projected second light.

Abstract: The present disclosure provides a localization method as well as a robot using the same. The method includes: obtaining laser scan points and particles; mapping each of the laser scan points to a global coordinate system based on each of the particles to obtain global boundary points of each of the particles; finding a matching boundary point in the global boundary points by comparing the global boundary points of the particle with points corresponding to static objects in a known map; calculating a distance between the matching boundary point of the particle and the points corresponding to the static objects, and increasing a weight of the matching boundary point if the distance is less than a preset threshold; calculating a weight of the particle by matching the global boundary points of the particle with the known map; and estimating a localization result.

Abstract: Implementations of the present disclosure provide a solution for encoding and decoding motion information. In this solution, during a conversion between a current video block of a video and a bitstream of the video, a group type of a subgroup of candidates of motion information for the current video block is determined, wherein the group type indicating whether the subgroup of candidates are to be reordered. Further, a list of candidates are constructed based on the group type; and the motion information for the current video block is derived from the list of candidates.

Abstract: A method, device, and non-transitory computer-readable medium for decoding an encoded video bitstream using at least one processor, including, obtaining from the encoded video bitstream a first flag indicating that reference picture resampling is enabled for coded video sequence (CVS); determining a value of a second flag indicating whether a picture resolution is changed in the CVS; based on the value of the second flag indicating that the picture resolution is changed in the CVS, decoding the CVS using the reference picture resampling for spatial scalability and adaptive resolution change (ARC); and based on the value of the second flag indicating that the picture resolution is not changed in the CVS, decoding the CVS using the reference picture resampling for the spatial scalability, and without using the reference picture resampling for the ARC.

Abstract: A video processing method is provided to include determining, for a conversion between a current block of a current video picture of a video and a coded representation of the video, that both a local illumination compensation (LIC) tool and an intra block copy (IBC) tool are enabled for the conversion of the current block, and performing the conversion based on the determining. The LIC tool uses a linear model of illumination changes in the current block during the conversion, and the IBC tool uses a portion of the current video picture for the conversion of the current block.

Abstract: An image decoding method performed by a decoding device according to the present document comprises: a step for deriving the number of samples of upper peripheral chroma samples and left peripheral chroma samples of a current chroma block on the basis of a specific value and the width and height of the current chroma block; a step for deriving said number of upper peripheral chroma samples and said number of left peripheral chroma samples; and a step for deriving CCLM parameters on the basis of the upper peripheral chroma samples, the left peripheral chroma samples, and down-sampled peripheral luma samples, wherein, when the specific value is derived as 2 and the width and the height of the current chroma block are larger than the specific value, the number of samples is derived as the specific value.

Abstract: A prediction image generation method is provided. The method derives a down-sampled luminance image and a down-sampled neighboring luminance image by down-sampling the luminance image of a target block and a neighboring luminance image based on information related to a down-sampling and indicating one of a plurality of position relationships between at least one luma pixel and a chroma pixel. The method derives a neighboring chrominance image, parameters derived from the down-sampled neighboring luminance image and the neighboring chrominance image, and the prediction image by using the down-sampled luminance image and the parameters. The position relationships include that a position of the chroma pixel is identical to a position of one of the at least one luma pixel and that the position of the chroma pixel is located in an intermediate of two of the at least one luma pixel on a left side of a 2×2 luma pixel block.

Abstract: An object monitoring system includes means for calculating an arrangement of an external object in a target space based on a distance measurement value of the external object, and estimating a shift amount of the distance measurement value caused by the external object in accordance with the calculated arrangement, and means for correcting, based on the estimated shift amount, determination of whether or not a monitored object is present in a monitoring area set in the target space.

Abstract: A light emitting element detecting method includes the steps of generating a first control signal to open a shutter of an image capturing device which captures an image toward a light outlet of a light emitting element, generating a pulse signal to light up the light emitting element, generating a second control signal to close the shutter of the image capturing device and obtaining a detection image, and determining the light emitting status of the light outlet of the light emitting element according to the detection image. As a result, the present invention can accurately detect whether the light outlet of the light emitting element has the problem of emitting no light or flashing.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains a chrominance prediction signal by applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: Systems and methods for decoding are provided. A method includes receiving a bitstream including at least one coded picture, inferring a value of a first identifier of a video parameter set, based on the first identifier of the video parameter set not being in the bitstream, and decoding the at least one coded picture based on the inferring.