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192 results about "Spatial prediction" patented technology

Encoding method, decoding method and apparatus thereof

Video encoding and decoding methods and devices are provided which can efficiently switch a lossy mode and a lossless mode to each other. The video encoding device includes: a prediction section that generates a residual signal which is a difference between an input image and prediction values acquired by performing one or more of temporal prediction and spatial prediction on macro blocks of the input image; a transformation and quantization section that performs or skips transformation and quantization on the residual signal depending on mode information; an entropy-coding section that entropy-codes the residual signal output from the transformation and quantization section to generate a bitstream; a lossless-mode QP range determining section that determines a lossless-mode QP range using an amount of bits generated by the entropy-coding section and a quantization coefficient (QP); and a mode determining section that compares a current QP value with the determined lossless-mode QP range to determine one of a lossy mode and a lossless mode and transmits information on the determined mode to the transformation quantization section. Accordingly, by designating a lossless-mode quantization coefficient range, it is possible to reduce an amount of bits necessary for switching a lossy mode and a lossless mode.
Owner:MTEKVISION CO LTD

Small-scale air quality index prediction method and system for city

InactiveCN108701274AAchieving Air Quality PredictionImprove accuracyForecastingInformaticsEngineeringOutdoor air quality
The invention discloses a small-scale air quality index prediction method and system for a city, which firstly divides a city area into a plurality of to-be-predicted locations in a grid form; and then acquires historical data related to each model, and based on historical data: establishing corresponding correspondences The current time prediction and the time prediction model predicted at each moment in the future time, establish a spatial prediction model for air quality prediction at the specified coordinates, and establish a dynamic prediction model that characterizes the relationship between traffic data and geographic interest point data and air quality index, an indoor and outdoor prediction model that characterizes the relationship between the indoor air quality index and the outdoor air quality index; when performing the prediction, the established time prediction model, the spatial prediction model, and the dynamic prediction are performed for any real-time moments to be predicted. The model and the indoor and outdoor prediction models are cooperatively trained to fuse the prediction results of all the models, that is, the predicted values of the air quality index at each moment in the respective current and future time periods of each to-be-predicted location.
Owner:BEIJING QUALITY TECH CO LTD
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