Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding with a low-delay transform skip residual coding (TSRC) method. The TSRC method includes: deriving, by an encoder, a rice parameter based on coded information of a current slice of a video. The coded information may include one or more of following parameters: a quantization parameter or a coding bit-depth associated with a slice, a picture, or a sequence of the video; or a hash ratio associated with the slice, the picture, or the sequence of the video.

Abstract: A computing device performs a method of decoding video data by generating a multi-model linear model (MMLM) including a first linear model between the minimum luma value and the threshold luma value, and a second linear model between the threshold luma value and the maximum luma value from a group of reference luma samples and a group of reference chroma samples; and reconstructing a respective sample value of the chroma block from a weighted combination of a respective first corresponding reconstructed sample value of the luma block using the multi-model linear model, and a respective second reconstructed sample value of a neighboring chroma block from an intra prediction mode.

Abstract: An information processing device includes a microphone that acquires a speech signal, and at least one processor. In a case in which the processor determines a wake word is included in first recognition data derived from the speech signal, when the processor determines that control information, that is information related to a control processing, is included in second recognition data derived from the speech signal after the wake word, the processor executes a first control processing corresponding to the control information. When the processor determines that the control information is included in third recognition data derived from the speech signal acquired by the microphone during a first period after a predetermined condition related to an event that occurs after the wake word is satisfied or during execution of the first control processing, the processor executes a second control processing corresponding to the control information included in the third recognition data.

Abstract: A method for video decoding is provided. The method includes obtaining a plurality of sub-blocks within an affine coding unit (CU) of a video frame, where the plurality of sub-blocks include a plurality of boundary sub-blocks and a plurality of non-boundary sub-blocks. Further, the method may include applying both overlapped block motion compensation (OBMC) and affine secondary prediction (ASP) to at least one sub-block to generate a sub-block-based prediction for the affine CU or enabling the ASP for the plurality of non-boundary sub-block and disabling the OBMC for the plurality of non-boundary sub-blocks.

Abstract: An electronic apparatus performs a method of decoding video data, comprising: receiving, from the video signal, a picture frame that includes a first component and a second component in a first color space; determining a classifier for the second component in the first color space from a set of one or more samples of the first component associated with a respective sample of the second component in the first color space, wherein the set of one or more samples are in a second color space; determining a sample offset for the respective sample of the second component in the first color space according to the classifier; and modifying the value of the respective sample of the second component in the first color space based on the determined sample offset.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video signal, a picture frame that includes a first component and a second component; determining a classifier for the second component from a set of one or more samples of the first component associated with a respective sample of the second component; determining whether to modify a value of the respective sample of the second component within a region of the picture frame according to the classifier; in response to the determination to modify the value of the respective sample of the second component within the region according to the classifier, determining a sample offset for the respective sample of the second component according to the classifier; and modifying the value of the respective sample of the second component based on the determined sample offset.

Abstract: A method for enriching niobium and titanium in a mineral containing iron, niobium, and titanium, includes: reacting raw materials comprising 1 part by weight of a mineral containing iron, niobium, and titanium, 0.1-0.8 part by weight of a nickel-containing substance and 0.2-1 part by weight of carbon at 800-1500° C. to obtain a nickel-iron alloy and a niobium-titanium rich slag, where an amount of the mineral containing iron, niobium, and titanium is counted in terms of iron element, and an amount of the nickel-containing substance is counted in terms of nickel element. The nickel-containing substance is one or more selected from the group consisting of oxides of nickel and nickel minerals.

Abstract: A mobile terminal (1), a switch control method, and a computer readable storage medium. The mobile terminal (1) comprises a hardware security processor (11), a first information input device (12), and a control switch (14); when the control switch (14) is turned on, if first security information currently collected by the first information input device (12) does not match second security information stored in a storage module, or the second security information does not exist in the storage module when the first security information currently collected by the first information input device (12) is obtained, the hardware security processor (11) controls the control switch (14) to be turned off, so as to prevent a second information input device (15) of the mobile terminal (1) from uploading the collected information to a main processor (16) of the mobile terminal (1).

Abstract: An electronic apparatus performs a method of decoding video data, comprising: receiving, from the video signal, a picture frame including a first component, and a second component; determining a classifier for the first component based on a first set of one or more samples of the second component associated with a respective sample of the first component and a second set of one or more samples of the first component associated with the respective sample of the first component; determining a sample offset for the respective sample of the first component according to the classifier; and modifying a value of the respective sample of the first component based on the determined sample offset. In some embodiments, the first component is a luma component and the second component is a chroma component, and the classifier is determined by a combination of a band offset classifier and edge offset classifier.

Abstract: Disclosed is a piglet feed based on bacteria enzyme synergistic fermentation process. The piglet feed is composed of basic components and bacteria enzyme synergistic fermentation feed. Basic components include soybean protein concentrate, whey powder, fish meal, sodium chloride, choline chloride, stone powder, calcium hydrogen phosphate, composite vitamins, composite trace elements, and composite amino acids. The bacterial enzyme synergistic fermentation feed includes a fermentation substrate, an enzyme preparation, and a bacterial strain. The bacterial enzyme synergistic fermentation feed can not only improve the production performance of piglets, but also improve the utilization rate of feed nutrients, especially the utilization rate of feed phosphorus, thereby reducing the excretion of phosphorus in feces.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from the video signal, a picture frame that includes a first component, and a second component; determining a classifier for the first component based on a first set of one or more samples of the second component associated with a respective sample of the first component; determining a sample offset for the respective sample of the first component according to the classifier; and modifying a value of the respective sample of the first component based on the determined sample offset, wherein the first component and the second component are chroma components. The picture frame further includes a third component, and the classifier for the first component is additionally based on a second set of one or more samples of the third component associated with the respective sample of the first component.

Abstract: An electronic apparatus performs a method of video encoding. The method comprises: obtaining a video picture that includes a first component and a second component; determining a plurality of offsets associated with the second component; utilizing a sample value of the first component to obtain a class index associated with the second component; selecting an offset from the plurality of offsets for the second component according to the class index; and obtaining a sample value of the second component based on the selected offset, wherein utilizing the sample value of the first component to obtain the class index associated with the second component comprises: utilizing a first sample value of the first component to obtain a first parameter; utilizing a second sample value of the first component to obtain a second parameter; and obtaining the class index according to the first parameter and the second parameter.

Abstract: A method of decoding video data and an electronic apparatus for performing the method are provided. The method includes: receiving, from the video signal, a picture frame that includes a first component, and a second component; determining a classifier for the first component based on a first set of one or more samples of the second component associated with a respective sample of the first component; determining a sample offset for the respective sample of the first component according to the classifier; and modifying a value of the respective sample of the first component based on the determined sample offset, the first component being a luma component and the second component being a first chroma component.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. The method for video coding includes: receiving, by a decoder, a Sequence Parameter Set (SPS) range extension flag that indicates whether a syntax structure, sps_range_extension, is present in Slice Head (SH) Raw Byte Sequence Payload (RBSP) syntax structures based on a value of the SPS range extension flag.

Abstract: A method for implementing folding M×N wavelength selective switch is provided. A one-dimensional single-mode fiber optic collimator array, a short-focus cylindrical mirror, a first long-focus cylindrical mirror, a retroreflector, a transmission phase diffraction grating, a second long-focus cylindrical mirror, a liquid crystal spatial light modulator, and a liquid crystal graphic loading control system are provided along beam transmission direction. The same set of optical elements is used for incident light and outgoing light by ingenious folding structure. The input port and output port of optical signal are consistent in spatial arrangement, thereby reducing space and improving port utilization. Based on composite liquid crystal chips, a working area of the liquid crystal spatial light modulator is doubled, and a quantity of accommodating ports is greatly increased. A quantity of M×N ports of the WSS can be increased greatly by the above structure and design.

Abstract: A method and an apparatus for image filtering in video coding using a neural network are provided. The method includes: loading, a plurality of quantization parameter (QP) map (QpMap) values at a plurality of QpMap channels into the neural network; and adjusting, according to a QP scaling factor, the plurality of QpMap values for the neural network to learn and filter a current input frame to the neural network.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving the video signal that includes a first component and a second component; receiving a plurality of offsets associated with the second component; utilizing a sample value of the first component to obtain a classifier associated with the second component; dividing a range of the sample value of the first component into several bands based on the classifier; selecting a band based on an intensity value of the sample value of the first component; selecting an offset from the plurality of offsets for the second component according to the selected band; and modifying the second component based on the selected offset.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes receiving, from a video bitstream having a hierarchical structure, a first syntax element associated with a first level of the hierarchical structure, in accordance with a determination that the first syntax element indicates that a Cross-Component Sample Adaptive Offset (CCSAO) filter information is present in the first level, reconstructing, from the video bitstream, one or more regions under the first level jointly according to the CCSAO filter information, and in accordance with a determination that the first syntax element indicates that the CCSAO filter information is not present in the first level, reconstructing, from the video bitstream, the one or more regions separately according to the CCSAO filter information present in a second level of the hierarchical structure.

Abstract: A method of forming an acoustic transducer comprises providing a substrate and depositing a first structural layer on the substrate. The first structural layer is selectively etched to form at least one of an enclosed trench or an enclosed pillar thereon. A second structural layer is deposited on the first structural layer and includes a depression or a bump corresponding to the enclosed trench or pillar, respectively. At least the second structural layer is heated to a temperature above a glass transition temperature of the second structural layer causing the second structural layer to reflow. A diaphragm layer is deposited on the second structural layer such that the diaphragm layer includes at least one of a downward facing corrugation corresponding to the depression or an upward facing corrugation corresponding to the bump. The diaphragm layer is released, thereby forming a diaphragm suspended over the substrate.

Abstract: A method and an apparatus for image filtering in video coding using a neural network are provided. The method includes: loading a plurality of input patches associated with a current image to be coded, where the plurality of input patches include a first input patch with a first resolution, a second input patch with a second resolution, and a third input patch with a third resolution; and in response to determining that one resolution in the first resolution, the second resolution, and the third resolution is different from the other two resolutions, adjusting the first resolution, the second resolution, and the third resolution at one region of a plurality of regions before the neural network or in the neural network.