Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to an investment strategy for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.

Abstract: A prediction method, apparatus, and a computer storage medium for decoding, the method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: The disclosed embodiments provide methods and systems for verifying a ticket at a client. One method comprises: sending a request for an electronic ticket verification interface to a server, the request including identification information of at least one purchased electronic ticket; receiving response information returned when the server determines by parsing and verification that electronic ticket information included in the request meets a ticket verification condition, and displaying, in a corresponding display box, an electronic ticket verification interface invoked by an electronic ticket verification interface invoking instruction included by the response information; and sending password input information collected on the verification interface to the server within a limit of password input times, and receiving ticket verification prompt information returned by the server in response to the password input information.

Abstract: The present disclosure provides methods, apparatus and non-transitory computer readable medium for video processing. According to certain disclosed embodiments, A method for video processing includes: dividing an intra prediction block into one or more sub-blocks; performing padding process for the one or more sub-blocks; and filtering the one or more sub-blocks with a parallel intra prediction smoothing (IPS) process.

Abstract: The present disclosure provides intra prediction methods for video or image coding. An exemplary method includes: performing an intra predicting process for a target block, wherein performing the intra predicting process comprises: determining an intra prediction mode for the target block; in response to the intra prediction mode is an angular mode, determining a filtered value by applying an N-tap interpolation filter to a plurality of reference samples surrounding the target block based on the angular mode, wherein N is an integer greater than 4; and determining a predicted value of a sample of the target block based on the filtered value.

Abstract: Colour component prediction method is provided, which includes that: first reference sample set corresponding to colour component to be predicted of coding block in video image is acquired; when available sample number in first reference sample set is less than preset number, preset component value is taken as predicted value corresponding to the colour component to be predicted; when available sample number in first reference sample set is not less than preset number, first reference sample set is screened to obtain second reference sample set; when available sample number in second reference sample set is equal to preset number, model parameter is determined through second reference sample set, and prediction model corresponding to colour component to be predicted is obtained based on model parameter, prediction model is used for prediction processing of colour component to be predicted to obtain predicted value corresponding to colour component to be predicted.

Abstract: The present disclosure provides video decoding method. An exemplary method includes: decoding a first parameter for a coding unit from a bitstream, and determining a candidate for the coding unit based on the first parameter; determining a value of a second parameter associated with the coding unit based on a value of a second parameter associated with the candidate, wherein the second parameter indicates whether a bi-directional prediction correction is enabled; and in response to the value of the second parameter associated with the coding unit indicating the bi-directional prediction correction being enabled, performing the bi-directional prediction correction on the coding unit.

Abstract: The present disclosure provides methods, apparatus and non-transitory computer readable medium for processing video data. According to certain disclosed embodiments, a method includes: determining a set of parameters from a plurality of sets of parameters wherein the set of parameters includes a scaling factor; determining a predicted sample value of a first chroma component based on the set of the parameters, a reconstructed sample value of a luma component and a reconstructed sample value of a second chroma component; and signaling an index associated with the set of parameters in a bitstream.

Abstract: A method and an apparatus for controlling cruise of an unmanned air vehicle based on a prefabricated construction platform, a terminal device, and a computer readable storage medium are provided. The control method comprises: acquiring personnel information at the construction site; adjusting a cruise cycle of the unmanned air vehicle based on the personnel information; transmitting the imagery data of the construction site collected by the unmanned air vehicle to the prefabricated construction platform; and completing three-dimensional modeling on the prefabricated construction platform based on the imagery data, and displaying a resulting model. In this way, the technical problem that the existing cruise method of the unmanned air vehicle has a low level of intelligence is solved.

Abstract: This application provides a method and a device for cost early warning of a prefabricated building. The method includes: acquiring price information of materials of components in different purchase periods, and performing statistics on the price information to acquire a price change trend corresponding to the material of each component; acquiring a current price, a bid price, a cost profit and loss of the material purchased for a construction project, a quantity of the material remained and a pre-made component production plan, and generating a procurement plan according to the price change trend, the current price, and the bid price, the cost profit and loss of the material purchased, the quantity of the material remained and the pre-made component production plan; calculating a real-time cost profit and loss of the construction project according to the procurement plan, the bid price, and the cost profit and loss of the material purchased.

Abstract: A method for intra prediction includes: obtaining multiple previously reconstructed neighbouring blocks corresponding to a current processing block; determining prediction modes, that are signalled in a bitstream, corresponding to neighbouring blocks of the multiple previously reconstructed neighbouring blocks, to obtain multiple first prediction modes; if the multiple first prediction modes comprise at least two directional modes, taking directional modes comprised in the multiple first prediction modes as first prediction directions; performing, according to a preset operation rule, operation on multiple first prediction directions of the first prediction directions to obtain second prediction directions; obtaining a prediction mode set according to the second prediction directions and the multiple first prediction modes; and performing intra prediction on the current processing block based on the prediction mode set.

Abstract: A chroma intra prediction method and device are provided. The method applied to a decoder includes parsing bitstream data corresponding to a current chroma block, and determining that a prediction mode corresponding to the current chroma block is a direct mode (DM); determining an intra prediction mode of the current chroma block from a set of chroma prediction modes, wherein the set of chroma prediction modes comprises at least one of DM, LM, LM_T or LM_L; and determining a reconstructed value of the current chroma block according to the intra prediction mode.

Abstract: Disclosed in the implementations of the present disclosure are a mapping method, an encoder, a decoder, and a computer storage medium. The method may include: determining an intra prediction mode used at the time of encoding or decoding a current block; mapping, if the intra prediction mode is a MIP mode, the MIP mode to a first non-MIP mode; and mapping, if the intra prediction mode is a non-MIP mode, the non-MIP mode to a second MIP mode.

Abstract: A prediction method for decoding and apparatus, and a computer storage medium are provided. The method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: Embodiments of systems and methods for transmission of audio information are disclosed herein. In one example, a System on Chip (SoC) includes a wired transceiver module, a wireless module, a Frequency Modulation (FM) demodulation module, and an audio information codec module operatively coupled to the wired transceiver and the FM demodulation module. The wired transceiver module is configured to receive a data packet corresponding to first audio information. The wireless module is configured to receive an FM signal, corresponding to second audio information. The FM demodulation module is configured to output the second audio information based on demodulating the FM signal. The audio information codec module is configured to decode the first audio information and the second audio information based on the data packet and the demodulated FM signal, respectively.

Abstract: The present disclosure provides methods for performing simplified matrix weighted intra prediction. The method can include: determining a classification of a target block; and generating, based on the classification, a matrix-weighted intra prediction (MIP) signal, wherein determining the classification of the target block comprises: in response to the target block having a size of 4×4, determining that the target block belongs to a first class; or in response to the target block having a size of 8×8, 4×N or N×4, N being an integer between 8 and 64, determining that the target block belongs to a second class.

Abstract: Techniques for adapting a trained neural network acoustic model, comprising using at least one computer hardware processor to perform: generating initial speaker information values for a speaker; generating first speech content values from first speech data corresponding to a first utterance spoken by the speaker; processing the first speech content values and the initial speaker information values using the trained neural network acoustic model; recognizing, using automatic speech recognition, the first utterance based, at least in part on results of the processing; generating updated speaker information values using the first speech data and at least one of the initial speaker information values and/or information used to generate the initial speaker information values; and recognizing, based at least in part on the updated speaker information values, a second utterance spoken by the speaker.

Abstract: A stack comprises a substrate, a magnetic recording layer, and a negative thermal expansion layer disposed between the substrate and the magnetic recording layer. The negative thermal expansion layer is configured to reduce thermal profile changes of a surface of the stack opposite the substrate during a heat assisted magnetic recording write operation.