Abstract: A method for decoding video data. The method including obtaining, from a bitstream, a video block and region information, wherein the region information comprises an index indicating a region selected from a set of regions located external to the video block for deriving a multiple linear regression (MLR) model, obtaining luma and chroma sample values in the region based on the region information; deriving the MLR model using the luma and chroma sample values in the region, predicting each of the chroma sample values in the video block by applying the MLR model to corresponding luma sample values for that chroma sample, and obtaining decoded video block using the predicted chroma sample values.

Abstract: This disclosure provides a video decoding apparatus and method for transform coefficient sign prediction on a video decoder side. The method may include: receiving, by a decoder, a bitstream comprising encoded data of transform coefficients of a transform block of a video frame; determining, by the decoder, multiple regions in the transform block, where the multiple regions include a sign prediction area for performing the sign prediction and at least one other region; parsing the bitstream, by the decoder, to obtain signs of transform coefficients associated with the multiple regions of the transform block according to a region-based order used to signal the signs of the transform coefficients; estimating, by the decoder, original signs for a set of candidate transform coefficients associated with the sign prediction area of the transform block; and updating the transform coefficients associated with the sign prediction area based on the estimated original signs.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from bitstream, a plurality of syntax elements associated with a coding unit, wherein the plurality of syntax elements indicate a size of the coding unit and a coding tree type of the coding unit; determining a minimum palette mode block size for the coding unit in accordance with the coding tree type of the coding unit; in accordance with a determination that the size of the coding unit is greater than the minimum palette mode block size: receiving, from the bitstream, a palette mode enable flag associated with the coding unit; and decoding, from the bitstream, the coding unit in accordance with the palette mode enable flag.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder obtains, for a current chroma block, a non-linear model (non-LM) mode and a linear model (LM) mode, and the LM mode includes a cross component linear model (CCLM) mode and a multi-model linear model (MMLM) mode. The decoder then combines the non-LM mode and the LM mode for a multi-hypothesis-based chroma prediction (MCP) for the current chroma block.

Abstract: Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. In one decoding method, the decoder obtains a geometric partition mode (GPM) blending area index at a certain level associated with a picture, where the GPM blending area index indicates a blending area width from a set of blending area widths. The decoder obtains one or more weighting values that are used to blend prediction samples of a GPM mode based on the blending area width indicated by the GPM blending area index. Furthermore, the decoder obtains a GPM predictor based on the one or more weighting values.

Abstract: Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. In one decoding method, the decoder obtains a plurality of prediction samples of neighboring reconstructed samples of a coding unit (CU). Additionally, the decoder reorders a plurality of geometric partition mode (GPM) split modes based on distortion costs between the plurality of prediction samples of the neighboring reconstructed samples associated with each GPM split mode and neighboring reconstructed samples of the CU according to an order table to obtain a reordered list of the plurality of GPM split modes. Furthermore, the decoder obtains a GPM split mode index and then obtains a GPM split mode based on the GPM split mode index and the reordered list of the plurality of GPM split modes. Moreover, the decoder obtains a GPM predictor based on the GPM split mode.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for decoding a video signal. A decoder partitions a video picture into a plurality of coding units (CUs) comprising a lossless CU. The decoder may further receive a high-level syntax. The high-level syntax may include, for example, a first flag that indicates whether a residual coding scheme is switchable.

Abstract: A method for video encoding, a method for video decoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In the method for video decoding, the decoder may obtain one or more filtering parameters, wherein the one or more filtering parameters are from a filtering parameter set comprising a number of similar blocks, a search range, and a window size; obtain, based on the one or more filtering parameters, one or more similar pixels for a first pixel that has been filtered in a picture and the first pixel; and obtain an original pixel associated with the first pixel based on the one or more similar pixels.

Abstract: A method for decoding video data. The method comprises: obtaining, from a bitstream, a video block and filter shape information; determining a region to derive a multiple linear regression (MLR) model; obtaining luma and chroma sample values in the region; deriving the MLR model using the luma and chroma sample values in the region based on the filter shape information; predicting each of chroma samples in the video block by applying the MLR model to corresponding luma samples for that chroma sample based on the filter shape information; and obtaining decoded video block using the predicted chroma samples.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder obtains a first flag in a transform block (TB), a coding block (CB), a slice, a picture, or a sequence level, wherein the first flag indicates whether signaling of inherited intra mode is enabled on a current video block; and in response to determining that the inherited intra mode is enabled on the current video block based on the first flag, the decoder obtains a second flag that indicates whether the inherited intra mode is used at a signaled level.

Abstract: A method for video coding is provided. The method includes: setting, by an encoder, a first syntax element in a picture parameter set (PPS) specifying whether a picture corresponding to the PPS comprises more than one network abstraction layer (NAL) units and whether the more than one NAL units have a same NAL unit type; setting, by the encoder, a second syntax element in a picture header (PH) specifying whether the picture corresponding to the PH is an intra random access point (IRAP) picture or a gradual decoding refresh (GDR) picture, where a value of the second syntax element is set based on a value of the first syntax element; and forming, by the encoder, a bitstream with the first syntax element and the second syntax element.

Abstract: A method and an electronic device for enhancing efficiency of searching for a region of interest in a virtual environment are provided. The virtual environment includes a visible scene and an invisible scene. A picture-in-picture (PIP) is displayed in the visible scene as a directional guidance or distance hint related to the region of interest in the invisible scene, thereby saving time and enhancing efficiency of searching for the region of interest.

Abstract: A contact switch, contact switch system, and interactive building block system carrying the contact switch based on UHF RFID technology for detecting mutual contact events are provided. The contact switch system includes a plurality of contact switches each including a chip and an antenna not connected to the chip. When the contact switch is in contact with another contact switch, the chip is connected to another antenna of the another contact switch and the antenna is connected to another chip of the another contact switch. The chip receives and converts a radio wave from the another antenna into power, and the power converts identifying information of the chip into a radio wave, which is sent to a reader. When the reader reads two encoded identifying information at the same time, whether the two contact switches are in contact with each other is determined by the contact switch system.

Abstract: A contact switch, contact switch system, and interactive building block system carrying the contact switch based on UHF RFID technology for detecting mutual contact events are provided. The contact switch system includes a plurality of contact switches each including a chip and an antenna not connected to the chip. When the contact switch is in contact with another contact switch, the chip is connected to another antenna of the another contact switch and the antenna is connected to another chip of the another contact switch. The chip receives and converts a radio wave from the another antenna into power, and the power converts identifying information of the chip into a radio wave, which is sent to a reader. When the reader reads two encoded identifying information at the same time, whether the two contact switches are in contact with each other is determined by the contact switch system.

Abstract: A method and an electronic device for enhancing efficiency of searching for a region of interest in a virtual environment are provided. The virtual environment includes a visible scene and an invisible scene. A picture-in-picture (PIP) is displayed in the visible scene as a directional guidance or distance hint related to the region of interest in the invisible scene, thereby saving time and enhancing efficiency of searching for the region of interest.

Abstract: An input device for a finger touch interface includes a magnetic unit worn on a tip of a user's thumb for establishing a magnetic field, at least a first magnetic field sensing unit worn on the tip of any finger except the thumb and at least a second magnetic field sensing unit worn on a segment of any finger except the thumb. The first/second magnetic field sensing unit is used to detect magnetic flux density of the magnetic field so as to generate a corresponding signal as an input instruction.

Abstract: The present disclosure provides a nail-mounted tactile displaying device, including: a body; a plurality of vibration units provided at different positions of the body and actuated upon receiving a signal. The nail-mounted tactile displaying device provides a user with a new operating experience via the actuations of the plurality of vibration units so that the user can receive information through tactile feedback.

Abstract: An input device for a finger touch interface includes a magnetic unit worn on a tip of a user's thumb for establishing a magnetic field, at least a first magnetic field sensing unit worn on the tip of any finger except the thumb and at least a second magnetic field sensing unit worn on a segment of any finger except the thumb. The first/second magnetic field sensing unit is used to detect magnetic flux density of the magnetic field so as to generate a corresponding signal as an input instruction.

Abstract: A recognition system and a recognition method are provided. The recognition system includes a camera having a wide angle-of-view, a transmitter electrically connected to the camera, and a processor communicating with the transmitter. The camera is mounted on a body or a finger of a user, and captures one or more raw images of the limbs or hands. The transmitter transmits the one or more raw images of the limbs or hands to the processor. The processor transforms the one or more raw images of the limbs or hands into a corresponding gesture image, builds a recognition module according to a plurality of gesture images of the limbs or hands, and recognizes one or more new raw images of the limbs or hands captured by the camera with the recognition module so as to recognize a bodily gesture or a hand gesture.

Abstract: A geometric structure analyzing method, a geometric structure analyzing system, and a computer program product are provided, to analyze a two-dimensional geometric structure of a model composed of at least one magnetic building block. A magnetic field intensity image of the model is obtained, and a shape of the magnetic field intensity image is used as a contour of the model. The contour of the model is skeletonized to obtain the two-dimensional geometric structure of the model, and the two-dimensional geometric structure is displayed on a display panel. Therefore, a user is allowed to control the two-dimensional geometric structure on the display panel by manipulating the model, to achieve interactive effects including visual and tactile feedbacks.