Abstract: Implementations of the disclosure provide video processing systems and methods. The video processing method may include receiving, by one or more processors, a video frame of a video for in-loop filtering. For a target pixel of the video frame, the video processing method may further include selecting, by the one or more processors, a bilateral filtering window to perform the in-loop filtering on the target pixel from a group of candidate filtering windows. The group of candidate filtering windows include a plurality of side filtering windows and a full filtering window. The video processing method may also include filtering, by the one or more processors, the target pixel of the video frame using the selected bilateral filtering window.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into first and second geometric partitions; receiving a first GPM with a motion vector refinement (GPM-MVR) enable flag for the first geometric partition and receiving a second GPM-MVR enable flag for the second geometric partition; receiving a joint template matching (TM) enable flag for the first and second geometric partition that jointly indicates whether a uni-directional motion of the first partition is refined by TM and whether a uni-directional motion of the second partition is refined by the TM; receiving a first merge GPM index for the first geometric partition and a second merge GPM index for the second geometric partition; constructing a uni-directional MV candidate list of the GPM; and generating a uni-directional MV for the first geometric partition and a uni-directional MV for the second geometric partition.

Abstract: The present disclosure provides a memory device, a semiconductor device, and a method of operating a memory device. A memory device includes a memory cell, a bit line, a word line, a select transistor, a fuse element, and a heater. The bit line is connected to the memory cell. The word line is connected to the memory cell. The select transistor is disposed in the memory cell. A gate of the select transistor is connected to the word line. The fuse element is disposed in the memory cell. The fuse element is connected to the bit line and the select transistor. The heater is configured to heat the fuse element.

Abstract: Provided is a method for video decoding including: receiving a control variable enabling adaptive switch between motion vector refinement (MVR) offset sets; receiving an indication variable enabling adaptive switch between codeword tables that binarize offset magnitudes in the MVR offset sets under the coding level; partitioning the video block into a first and a second geometric partition; selecting an MVR offset set based on the control variable; receiving syntax elements to determine a first and second MVR offsets applied to the first and second geometric partitions from the selected MVR offset set; obtaining a first and second MVs from a candidate list for the first and the second geometric partition; calculating a first and second refined MVs based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples based on the first and second refined MVs.

Abstract: A computer system acquires a video bitstream. The video bitstream includes data associated with multiple encoded pictures. Each encoded picture includes one or more coding units (CUs). While decoding a current CU of a picture in the video bitstream, the current CU having a plurality of reference subblocks located in one or more reference pictures, in accordance with a determination that the plurality of reference subblocks satisfy a first set of predefined conditions for enabling a subblock-based temporal motion vector prediction (SbTMVP) mode, the computer system retrieves, from the video bitstream, syntax elements associated with the SbTMVP mode. The computer system then decodes the current CU using the retrieved syntax elements associated with the SbTMVP mode.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video data, an Adaptation Parameter Set (APS) identifier associated with a number of previously used Cross-Component Sample Adaptive Offset (CCSAO) filter offset sets stored in APS; receiving, from the video data, a syntax in Picture Header (PH) or Slice Header (SH) that indicates the APS identifier used for a current picture or slice; decoding, for the current coding tree unit (CTU), a filter set index that indicates a particular previously used CCSAO filter offset set of the number of offset sets in the APS associated with the APS identifier; and applying the particular previously used CCSAO filter offset set to the current CTU of the video data.

Abstract: A method for decoding a video block in GPM includes: partitioning the video block into two geometric partitions; constructing a uni-directional motion victor (MV) candidate list by adding regular merge candidates; in response to determining that the candidate list is not full, constructing a first updated candidate list by adding additional uni-directional MVs derived from bi-prediction MVs of a regular merge candidate list to the candidate list; in response to determining that the first updated candidate list is not full, constructing a second updated candidate list by adding pairwise average candidates to the first updated candidate list; in response to determining that the second updated candidate list is not full, periodically adding zero uni-directional MVs to the second updated candidate list until a maximum length is reached; and respectively generating a uni-directional MV for each geometric partition.

Abstract: Implementations of the disclosure provide systems and methods for motion refinement in a video. The method may include determining an initial motion vector for a video block of a video frame from the video. The method may include determining a matching target based on a weighted combination of a first reference block from a first reference frame in the video and a second reference block from a second reference frame in the video. The method may include performing a bilateral matching based motion refinement process at a block level to iteratively update the initial motion vector based on the matching target until a refined motion vector is obtained. The method may include refining a motion vector for each sub-block in the video block using the refined motion vector of the video block. Refining the motion vector at a sub-block level applies an affine motion model of the video block.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder receives a Sequence Parameter Set (SPS) rice extension flag that indicates whether an extension of rice parameter derivation for binarization of abs_remainder and dec_abs_level is enabled. In a second method, the decoder may receive a Sequence Parameter Set (SPS) rice adaption enabled flag that indicates whether rice parameter derivation for binarization of abs_remainder and dec_abs_level is used.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into a first geometric partition and a second geometric partition; receiving a first template matching (TM) enable flag for the first geometric partition a second TM enable flag for the second geometric partition, the first TM enable flag indicating whether a uni-directional motion of the first geometric partition is refined by TM, and the second TM enable flag indicating whether a uni-directional motion of the second partition is refined by the TM; receiving a first merge GPM index for the first geometric partition and a second merge GPM index for the second geometric partition; constructing a uni-directional motion victor (MV) candidate list of the GPM; and generating a first uni-directional MV for the first geometric partition and a second uni-directional MV for the second geometric partition.

Abstract: Methods and devices for video decoding are provided. The method may include obtaining a plurality of coding blocks within a video frame, where the plurality of coding blocks may include at least one chroma coding block and a plurality of luma coding blocks. Further, the method may include determining whether to apply OBMC to the at least one chroma coding block and the plurality of luma coding blocks to generate prediction samples for the video frame in response to determining that a local chroma tree partition is applied to the plurality of coding blocks.

Abstract: Systems and methods are disclosed for providing a virtual mouse for a computing device have a touchscreen. A first placement region of the touchscreen may be determined. The first placement region may then be determined to contain a first portion of at least one touch target. The first portion of the at least one touch target may then be deactivated. A virtual mouse may then be activated at the first placement region.

Abstract: Methods and devices for video decoding are provided. The method includes: receiving a control variable associated with the video block at a coding level, where the control variable enables adaptive switch between a plurality of motion vector refinement (MVR) offset sets, and the video block comprises first and second geometric partitions; receiving one or more syntax elements to determine a first MVR offset for the first geometric partition and a second MVR offset for the second geometric partition from a selected MVR offset set; obtaining a first motion vector (MV) and a second MV from a candidate list for the first and second geometric partitions; calculating a first refined MV and a second refined MV based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples for the video block based on the first and second refined MVs.

Abstract: Systems and methods of text editing are disclosed. A system may include a touchscreen, a memory, and a processor. A method may include receiving, from an electronic pen in communication with the processor, pressure signals indicating a detection of a first amount of pressure at a pen tip. In response to receiving the pressure signals, handwriting recognition may be activated. Touch input representing handwriting a first location of the touchscreen may then be received, and the touch input may then be converted into rendered textual content corresponding to the handwriting.

Abstract: A touch display device (TDD) configured to function with a pointing device (PD), and a method of operating the TDD. The TDD has a processor that automatically determines if the PD is in contact with a touch display (TD) of the TDD or with a surface distinct from the TD. When the PD is in contact with the TD, a toggling signal from the PD may be received at the processor to toggle from a first input mode where a tip of the PD overlaps a visual element displayed on the TD, to a second input mode with the tip of the PD is spaced apart from the displayed visual element. When the PD is in contact with the distinct surface, the processor automatically selects a third input mode where a position of the PD on the distinct surface is reproduced as a position the sign on the TD.

Abstract: This application relates to the field of human-computer interaction, and provides a virtual keyboard processing method. The method is applied to an electronic device, where the electronic device is provided with a display. The method includes: selecting, in response to a detected first gesture operation, a first type of virtual keyboard corresponding to the first gesture operation from a plurality of types of virtual keyboards, where virtual keys included in different types of virtual keyboards in the plurality of types of virtual keyboards are not completely the same; and displaying the first type of virtual keyboard by using the display. More virtual keys are provided for a user by different types of virtual keyboards. This improves flexibility of a process in which the user enables the virtual keyboard, and helps provide more abundant virtual keys, so that an additional physical keyboard does not need to be provided.

Abstract: An embodiment provides a feedback method, applied to an electronic device provided with a touchscreen. The touchscreen is provided with a plurality of vibration feedback elements. The method includes detecting a first contact operation acting on the touchscreen, and obtaining first location information of a first contact point corresponding to the first contact operation, where the first location information corresponds to a first virtual key on a virtual keyboard. The method also includes if the first virtual key is an anchor point key, obtaining, from the plurality of vibration feedback elements, a first vibration feedback element that matches the first virtual key, and indicating the first vibration feedback element to emit a vibration wave, to prompt that the first virtual key is an anchor point key, so that the user can sense a location of the anchor point key. This can reduce difficulty in implementing touch typing on the touchscreen.

Abstract: Systems and methods are disclosed for providing a virtual mouse for a computing device have a touchscreen. A first placement region of the touchscreen may be determined. The first placement region may then be determined to contain a first portion of at least one touch target. The first portion of the at least one touch target may then be deactivated. A virtual mouse may then be activated at the first placement region.

Abstract: Methods, devices, and processor-readable media for managing a virtual workspace shared by multiple devices are described. A unified GUI is presented to each device in which the other devices sharing the virtual workspace are represented by GUI elements, with the location of the other local devices present within the same local environment corresponding to a display location of the corresponding GUI element around the perimeter of the GUI screen. The locations of the other local devices are determined based on sensor data from the local devices, such as NFC radio data or other short-range sensor data, without the need for a dedicated, specially positioned camera or other sensor configured to track the devices within the local environment.

Abstract: There is described a method performed by a computing device having first and second touch-sensitive user interfaces. According to this method, when a user input is applied to one of the first and second user interfaces, the computing device detects the user input and determines a force applied by the user input and a type of the user input. The computing device then determines whether to perform a function such as whether to display a virtual trackpad or a virtual keyboard, based on the force, the type of the user input, and a determination whether the user input is applied to a selected one of the first and second user interfaces.