44results about How to "Easy to use in real time" patented technology

The invention provides a skipping coding mode pre-judgment method for a highly efficient video coding standard. The objective of the invention is to solve problems of quite high complexity of current standard coding and quite long coding time. The method comprises following steps of calculating the rate-distortion cost of a coding block so as to acquire a movement vector and residual information; using the size of the moving vector and the residual information to judge whether the coding block is a skipping mode, if no, entering the next top, or else, processing the next coding block; calculating rate-distortion cost of the previous frame of a coding block adjust the current coding block and the next frame of the coding block; using the size of the moving vector and the residual information to judge adjacent coding blocks and using a entropy difference concept to replace tediously calculated interactive information. According to the invention, a skipping mode is rapidly judged; when excellent coding performance is obtained, massive coding time is saved; the method has actual operability, so it is facilitated that real time application is performed; and when the video coding efficiency is not reduced, massive coding time is saved.

The invention discloses a rapid intra-frame mode decision method specific to a high efficiency video coding standard. The method comprises the following steps: (1) selecting a prediction unit (PU) being N*N in size; (2) calculating an average gradient value of pixel points in the PU with a Sobel operator; (3) determining a threshold value for judging an intra-frame prediction mode; (4) initially judging the intra-frame prediction mode according to the average gradient value of the pixel points in the PU and the threshold value for judging the intra-frame prediction mode; (5) calculating gradient directions of the pixel points in the PU according to a gradient value of each pixel point in the PU calculated by the Sobel operator; and (6) performing table lookup according to the gradient directions of the pixel points of the PU in order to determine the intra-frame prediction mode. In the rapid intra-frame mode decision method, a Sobel edge detection operator is adopted, so that the intra-frame decision speed is increased under the situation that the decision accuracy of a direction mode is kept constant; the complexity is low; the calculation amount is small; only a small amount of code rate is increased; and a large amount of coding time is saved.

The invention relates to the technical field of urban solid waste incinerator optimal control, in particular to an automatic combustion optimized decision method for the waste incineration process. Bymeans of the optimized decision of key manipulated variables (feeder speed and fire grate speed), an automatic combustion system operates within an ideal range, and the method mainly comprises the following steps that (1) a decision case library is set up according to historical data of the incineration process; (2) a training pattern pool is constructed; (3) a stochastic allocation network is trained according to a study type pseudometric measuring criterion, and therefore a stochastic allocation network retrieval model is obtained; (4) a target case is input into the stochastic allocation network retrieval model, and K similar case solutions are obtained; (5) the average value of the K similar case solutions is obtained through case reusing, and therefore the decision value of a targetcase solution (feeder speed and fire grate speed) is obtained and output to an incineration process control system; and (6) the fourth step and the fifth step are repeated to achieve the automatic combustion real-time optimized decision process of the incineration process.

The invention discloses a nonlinear normalization based IQA (image quality assessment) method of a Laplace-Gaussian signal. The method comprises steps as follows: redundancy elimination expression is performed on images firstly and is completed through two processes including LOG filtering and nonlinear normalization; the two processes are used for eliminating first-order and second-order statistical redundancy in the images and reducing high-order statistical redundancy respectively; two computing methods are proposed to predict the subjective quality or the distortion degree of the images, and the two computing methods are marked as NLOG-MSE (mean square error) and NLOG-COR (correlation) respectively; according to NLOG-MSE, mean square errors between the original images subjected to redundancy elimination expression and test images is computed to obtain the distortion measurement of the test images, and according to NLOG-COR, correlation between the original image and test image in each point and redundancy elimination expression is computed to predict the image quality. The experimental result proves that the two computing methods have good prediction performance in the aspect of IQA, the NLOG-MSE method has simple computation, and the application of the NLOG-MSE method in other fields is greatly facilitated.

The invention discloses a compressed domain video watermark embedding method based on a moving object. The compressed domain video watermark embedding method based on the moving object is characterized by comprising the steps of: performing scrambling encryption on binary watermark information to obtain encrypted binary watermark information, obtaining a moving object labelling graph of each frameof image of a video by using a video object tracking method based on a compressed domain, obtaining a corresponding moving object in each frame of image according to the moving object labelling graph, furthermore, obtaining a corresponding motion vector from the extracted moving object in each frame of image, obtaining module values of all motion vectors of the moving object in each frame of image by calculation, and furthermore, performing cycle watermark embedding operation on the motion vector corresponding to the module value, which is greater than or equal to a pre-set threshold value inall the module values, by using the obtained binary watermark information, so that a video embedded with the watermark is obtained. By means of the compressed domain video watermark embedding and extracting methods based on the moving object disclosed by the invention, the technical problem that the watermark can be damaged after the video with the watermark is re-coded in the existing video digital watermark embedding method based on the compressed domain can be solved.

The invention provides a carrier phase epoch difference and Doppler observation fusion speed measurement method. The method specifically comprises the following steps of: S1, obtaining original GNSS data containing carrier phases and Doppler observation values and an auxiliary product required by speed measurement data processing, performing screening and error correction on the obtained data, andsubstituting the corrected data into a carrier phase positioning equation; S2, differentiating the corrected observation equation among epochs to obtain a carrier phase inter-epoch differential velocity measurement equation, and combining the carrier phase inter-epoch differential velocity measurement equation with a Doppler velocity measurement equation to construct a velocity measurement equation fusing different observation values; S3, determining a corresponding random model by adopting a step-by-step weighting method according to satellite altitude angles and observation noise; and S4, linearizing the observation equation, solving velocity through a least square algorithm X=(BTPB)-1 (BTPL).

The invention relates to a foreground target extraction method of a dynamic background video image. The method comprises that S1) human bodies in a video frame are modeled via a continuous observed value hidden Markov model to obtain multiple human body models; S2) observation vectors of each the human body model in a set time period form an observation sequence; and S3) the conditional probability that each human body model generates the observation sequence is calculated via a forward-backward algorithm, and the observation sequence with the largest conditional probability is selected as a foreground target. Compared with the prior art, a Gaussian model and the continuous observed value hidden Markov model are combined and applied to modeling of the observation target in the video, and the condition that background modeling is much different from the practical background is avoided.

The invention discloses an integration service management system based on a cloud platform application. The system is formed by a cloud platform integration terminal, a system common module, a basic module and a multifunctional integration management terminal. The system common module, the cloud platform integration terminal, the basic module and the multifunctional integration management terminalare interconnected so as to realize data interaction. A synthesis management module, an intelligent accounting module, an integration personnel management module, a shopping mall management module, afinancial fund management module, a supplier platform management module, an integration order management module and a system maintenance management module are arranged in the multifunctional integration management terminal so as to effectively realize multifunctional integration, such as accounting, payment, evaluation, monitoring and query functions. Usage safety of system and integration quality of service management are increased, a client manager can conveniently apply the system in real time, analyzes and manages the system and then executes the system, system functions realize multi-modular integration, integration management is performed on a same cloud platform, which is convenient for modification and replacing, and usage is flexible and convenient.

The invention relates to the technical field of time transfer, and relates to a real-time precise time transfer method based on a double-difference mode. The real-time precision time transfer method comprises the following steps: firstly, based on satellite observation data of a time master station and a user station, establishing a double-difference mathematical model and constraining coordinatesof an observation station to carry out calculation to obtain a floating point solution of double-difference ambiguity and a corresponding variance matrix, and carrying out double-difference ambiguityfixing; secondly, selecting a reference satellite, giving a reference value of the inter-satellite single-difference ambiguity of the satellite, and inversely calculating the inter-satellite single-difference ambiguity of all satellites based on the fixed double-difference integer ambiguity; and then, establishing an inter-station single-difference mathematical model, substituting the inversely calculated single-difference ambiguity into an inter-station single-difference observation equation, and solving a time difference parameter between the two stations to realize real-time time transfer.

The invention provides a method for accurately displaying a current visual field by an eagle eye window in a three-dimensional map, which comprises the following steps of: 1, calculating a visual field cutting surface in an ECEF three-dimensional Cartesian coordinate system according to an observation position, an observation angle and the like, and submitting the calculated visual field cutting surface to a pixel shader; 2, drawing a rectangle, wherein texture coordinates of four corners of the rectangle are respectively set as longitude and latitude coordinates of four corners of a two-dimensional view display range; 3, in a pixel shader, converting longitude and latitude coordinates corresponding to pixels into ECEF three-dimensional Cartesian coordinates according to the ellipsoid parameters; and step 4, in the pixel shader, judging the positions between the ECEF three-dimensional Cartesian coordinates and each cutting surface, and determining whether the ECEF three-dimensional Cartesian coordinates are in the view field or not so as to output a corresponding diagram.

The invention discloses a mechanical sand screening device for construction. The mechanical sand screening device comprises a frame, a feeding port is formed in the frame, four rollers are arranged at the position, close to the feeding port, of the frame, rotating shafts are arranged on the four rollers in a penetrating mode, the rotating shafts are rotationally connected with the frame through bearings, gears are installed on the rotating shafts, a chain is arranged on the outer sides of the gears, the multiple gears are in transmission connection through the chain, a slider-crank mechanism is arranged at the ends of the rotating shafts, an automatic sand screening mechanism used in cooperation is arranged below the slider-crank mechanism, a driving mechanism used for driving any roller to rotate is arranged at the bottom of the frame so as to be different from the prior art, in the real-time use process, due to the use of the rollers, so that the feeding port is not prone to being blocked, material conveying is smoother, the rollers are used in cooperation with an existing sand screening drive, the use cost of the equipment is effectively controlled, stable and efficient sand feeding and screening are guaranteed, and therefore real-time, efficient and stable sand screening use is effectively facilitated.