46 results about "Subjective effects" patented technology

Under condition of not increasing network load, using accurate effective feedback information provided by client end, the method analyzes and judges state of current network. Based on the analyzed result, the method adjusts size of RTP packet, and sending speed of video basic stream so as to realize dispatch control by server end. The method reduces time delay from server end to client end and rate of packet loss without increasing network burden. Transferred video provides good subjective effect.

The invention provides loop wave filtering method and device, wherein the method comprises the following steps: a. acquiring a macro block which needs loop wave filtering; b. detecting the sub-block mode of the current macro block and extracting the wave filtering intensities of the edges of a corresponding sub-block; setting the wave filtering intensity of the internal edge of the sub-block intozero; and c. carry out wave filtering on the current macro block according to the acquired wave filtering intensities of different edges. The invention improves the extraction process of wave filtering intensity, and reduces requirements of a loop wave filtering process on system resources; therefore, on the premise of ensuring the subjective effect and the objective quality of code images, the invention simplifies the loop wave filtering process and reduces the requirements of the process on the system resources.

This invention concerns a system for the distribution of films by electronic means, and in particular, for ensuring a director's intended rendition of the images is attained in differing viewing conditions and technologies. Thus master data enabling the luminance and chromaticity of every part of every frame as previously displayed in a first display environment to be determined may be modified to achieve a similar subjective effect in a second display environment, the modification depending for example on data characterising the said second display environment.

The invention discloses a high dynamic range image tone mapping method with detail enhancement and brightness self-adaptation. The invention enhances the global detail of the input HDR image brightness gray-scale image, calculates the logarithm of the HDR image brightness gray-scale image after the detail enhancement, and utilizes logarithmic conversion to initially compress the brightness in theoriginal scene. Then the brightness histogram is statistically analyzed, and the average value and standard deviation are calculated, and the histogram is clipped and compensated in segments. Then theaverage brightness and the standard deviation of the mapped middle low dynamic range image are calculated by the brightness and standard deviation estimation model, so as to solve the global mappingcurve of the brightness histogram from the HDR image to the middle LDR image, wherein the maximum entropy brightness estimation method adaptively selects the optimal output brightness of the middle LDR image. Then, the brightness of the LDR image is obtained by local detail enhancement mapping to the brightness of the intermediate LDR image which is too dark or too bright. At last, that color of the HDR image is map to the color of the output LDR image, and the color space is merged to obtain the output LDR image. The invention can map the HDR image to the LDR image, the output LDR image brightness is adaptive, the detail is enhanced, and the subjective effect is harmonious.

The invention relates to a network security situation evaluation method based on CS and improved BP neural network. The method comprises four steps of S1. acquiring network security situation elements, forming a training sample set and a test sample set, and determining a BP neural network structure; S2. seeking an optimal initial weight and a threshold by using a CS algorithm; S3. introducing a momentum factor and a gradient factor to improve the BP neural network; S4. training the improved BP neural network, finally, using the trained network in network security situation evaluation so as toobtain a final situation value and a security level. Network security situation is evaluated precisely and quantitatively by using the improved BP neural network, so that subjective effects of expertopinions in traditional evaluation methods are lowered, and overall network security situation is reflected objectively and comprehensively; and the network security situation is improved by combining the CS algorithm and introducing the momentum factor and gradient factor, the convergence speed is improved, time and space overheads are reduced, and accuracy and practicability of network securitysituation evaluation are improved.

The invention discloses a multi-view video bit rate control method based on sensing. The method is characterized in that bit rates of a view layer, an image group layer, a frame layer and a macro-block layer are respectively controlled, bit allocation of views is determined by pre-encoding an image group in the view layer, target bits and initial quantization parameters of the image group are calculated according to structural characteristics of layered frames B in the image group layer, target bits of each frame are determined according to predicted complexity in the frame layer, and bit allocation of macro-blocks is determined according to a visual perception characteristic modification rate distortion model in the macro-block layer. The method has the advantages that the stability of video quality and the quality of a visual sensitive area are effectively improved by the bit rate control method, the peak signal-to-noise ratio of the most visually sensitive area is increased by 0.18-0.54dB, and subjective effects are obviously improved.

The invention discloses an intra-frame prediction method and device based on mathematical statistics and classification training in HEVC. The method comprises the following steps that 1, coding parameters are set; 2, training sample data are obtained; 3, PU blocks of a DC mode are classified; 4, reference pixel sample sets and original pixel sample sets are obtained from original frames and serve as training samples; 5, sample training is carried out. Compared with the prior art, the intra-frame prediction method and device based on mathematical statistics and classification training in the HEVC have the advantages that the change distribution of image textures are paid more attention to, the prediction precision of the DC mode and a PLANAR mode is improved, a better subjective effect is achieved at the detailed position of an image background, and at the same time, the proportion of the DC mode and the PLANAR mode is increased.

The invention provides a motion self-adaptive de-interlacing method based on visual characteristics, comprising the following steps of: (1) continuously storing five interlaced rows of videos, and joining a left point and a right point of each pixel point into motion detection to form an FIR (Finite Impulse Response) filter so as to obtain a motion detection value MV; (2) acquiring an interpolation coefficient alpha according to the motion detection value MV by adopting a dynamic double-threshold-value method; (3) acquiring an intra-field interpolation by adopting an edge difference value, and acquiring an inter-field interpolation by adopting an improved three-point median filtering method; (4) carrying out self-adaptive interpolation on a point to be interpolated according to the results of the interpolation coefficient alpha, the intra-field interpolation and the inter-field interpolation, and finally interlacing with existing lines of a current field to realize line-by-line output. According to the motion self-adaptive de-interlacing method provided with the invention, the low-pass FIR filter is added, and therefore, the motion loss inside a moving object is prevented and noises are effectively reduced; a double-threshold-value dynamic regulating method based on a brightness value is introduced according to the visual characteristics of human eyes, and therefore the subjective effect of de-interlacing is enhanced; and different inter-field interpolation methods are introduced for different pixel points, and therefore the interpolation accuracy of slowly moving pixels is enhanced.

The invention discloses an image compression secure coding method based on multidirectional sparse representation, comprising the following steps of: performing discrete dual-tree wavelet transform on an image and then performing directional filtering on each obtained high-frequency sub-band to obtain fine image directional sparse representation; performing rarefaction process on an obtained directional sub-band coefficient by using a noise shaping technology; interleaving the coefficients of each layer to ensure that the sub-band coefficients of neighbor layers have a parent child relation, and then performing quantitative coding on the coefficients by using SPIHT (Set Partitioning in Hierarchical Trees); and finally encrypting the coefficient symbols in a code stream in an XOR (Exclusive OR) manner and encrypting other partial code streams by using random arithmetic coding. As the code stream obtained by coding is encrypted by using the random arithmetic coding, the encryption efficiency is high, the effect is good, the security is high and no influence is brought to the image compression performance. The high-frequency components of the image are decomposed by using a directional filter, and therefore the directional representation is more flexible, sparser image representation is obtained, the image coding compression process is favored and the decoded image has better objective quality and subjective effect.

This invention provides an adaptive algorithms of compensation of TV signals scanning line by line in TV digitalized process to eliminate the motion image deform generated in the process of converting TV signals from the present interleaving to line by line which contains three parts of moving and static algorithms, motion compensation algorithms and edge field protection algorithms. The aim of moving and static detecting algorithms is to separate the moving objects and the static ones and the motion compensation algorithms is for compensation to the moving objects in TV signal, to greatly improve the subjective effect of picture after compensation protected algorithms is to compensate the compensation deform generated at the border of moving part and the static one in which the operationof the algorithms is related only to addition and substraction with the most quick operation speed to make it with real time and high efficiency.

The invention discloses a data transmission method used in the image transmission system and a device, comprising: a device for real-time receiving the image data, wherein the device divides the received image data into a plurality of image blocks to real-time transmit to the host computer through a USB interface, also comprises a buffer area with the capacity MAXP, a buffer, an image compression controller and an image compressor. The image compression controller performs the computation according to the size of the residual capacity of the buffer, and controls the compression format algorism based on the computed result. The device and the method has the advantages of better image quality, high compression SNR, good vision subjective effect and high availability of the USB bandwidth.

The invention discloses a method and system for quantitative adjustment of image quality jump. According to the method and system for quantitative adjustment of the image quality jump, on one hand, a method for reducing a difference between a quantization parameter of a preset I frame and a quantization parameter of a before P frame in an image which possibly produces the image quality jump according to the phenomena that the problem of the image quality jump is only caused by the situations that the difference between the quantization parameter of the preset I frame and the quantization parameter of the before P frame is large, and the preset I frame and the before P frame belong to the same scene, thus, a flicker feeling produced due to the image quality jump is reduced, and the subjective effect of an encoder is improved; on the other hand, when the preset I frame and the before P frame belong to different scenes, the image cannot produce the flicker phenomenon even when the quantization parameter difference is large, and the preset I frame can serve as a starting reference frame of a new scene. According to the method and system for quantitative adjustment of the image quality jump, due to the fact that movement intensity is used for adjusting the quantization parameters, the encoder can further adjust the quantization parameters according to the complexity of an encoding film source, and optimization of the encoding objective performance can be achieved.

An embodiment of the invention discloses a method and a device for quantizing video coding movement intensity. The method includes the steps: firstly, providing a macro-block movement intensity and fuzzy intensity acquisition mechanism; and secondly, designing quantizing adjustment strategies on different coding structures and different frame categories according to the movement intensity and the fuzzy intensity of each macro-block. By designing the subsequent quantizing adjustment strategies, code rates can be secondarily adjusted according to the movement intensity, namely, lower code rates are distributed for the macro-blocks violently moving, the saved code rates are distributed to portions sensitive to subjective effect and rate-distortion performance improvement of a video image, and finally, rate-distortion performances and subjective effects are optimized when a coder violently or non-violently moves.

The invention provides a consistent, easy to use, reliable method for evaluating each potential subject against the inclusion and exclusion criteria for a controlled data collection such as a clinical trial protocol. The invention provides a method for subject evaluation according to the clinical protocol as soon as the clinical protocol has been agreed upon. The invention provides an automated system and method of applying the clinical protocol to identifying and enrolling subjects. The invention removes both error (based on incomplete understanding or misunderstanding of the protocol) and inconsistencies owing to the subjective application. Further, to the extent physician subjectivity is affecting enrollment, the inventive system and method provides a means to monitor and quantify the subjective effect introduced into the clinical trial enrollment process.

The invention provides a quick nondestructive detection method for leather types based on a terahertz spectrum technology. The method comprises the following steps: S1, preparing a detection bracket suitable for detecting a leather sample by terahertz spectrum; S2, measuring the thickness of a to-be-detected leather sample; S3, measuring a blank sample detection bracket to acquire a reference terahertz time-domain spectral signal and measuring and acquiring a sample terahertz time-domain spectral signal of the detection bracket with the to-be-detected sample; S4, measuring different sites of a same sample for many times, calculating the characteristic parameters, taking the mean value to reduce error, and acquiring the mean value of the terahertz spectral characteristic parameters of the to-be-detected sample; and S5, comparing leather terahertz characteristic databases constructed to determine the types of leather. The method is quick, label-free, free of damage, simple to operate and widely suitable, can overcome subjective effect of an identifier, and can objectively reflect the types of detected leather and leather products.

The embodiments of the present invention disclose a feature grouping-based electric energy metering abnormality diagnosis method and system. The invention aims to solve the technical problems of vulnerability of judgment results to subjective effects, lack of theoretical basis and long judgment and identification time which are caused by a condition that judgment on the failure abnormality modes of an electric energy metering device mainly relies on the experience of technicians of field maintenance processing. According to the implementations of the invention, the method includes the following steps that: an initial database is constructed according to obtained electric energy metering abnormality types, judgment criteria of the electric energy metering abnormality types and a corresponding data source; the data of the data source of the initial database is transformed according to the judgment criteria of the electric energy metering abnormality types, so that an initial metering abnormality indicator set is formed; indicator feature grouping is performed on the initial metering abnormality indicator set, so that a plurality of indicator groups are formed; multi-classifier training is performed on the indicator groups, so that a plurality of different classification models can be obtained; and the different classification models are fused, so that an electric energy metering abnormality recognition result can be obtained.

The invention relates to the smart TV technology. The invention is to solve the problem that the consistency of a subjective effect cannot be satisfied by use of fixed white balance parameters since the color temperature status consistency of a liquid crystal screen in the existing smart TV. The invention provides an automatic white balance debugging method at a smart TV side. The technical scheme can be generalized as follows: the automatic white balance debugging method at the smart TV side comprises the white balance parameter acquisition part and the white balance parameter usage part. The method disclosed by the invention has the advantages that the debugging efficiency is improved, the production cost is lowered, and the method is suitable for the white balance parameter debugging of the smart TV.

The invention discloses a detection robot based on negative pressure adsorption. The detection robot comprises a robot shell, a propelling system, a left adjusting system, a left pressure system, a detection system, an adsorption suction cup, a right adjusting system and a control system. A positive pressure system is arranged on the robot shell, and the left adjusting system and the right adjusting system are arranged on the left side and the right side of the robot shell respectively; the propelling system is arranged on the rear side of the robot shell, and the detection system is arranged at the front end of the robot shell; and the adsorption suction cup is arranged at the lower end of the robot shell. The detection robot has the advantages that the detection system has no blind angle within 360 degrees, the detection range is large, and through a wireless system, picture detection visualized analysis is achieved, and the subjective effect in the manual detection is avoided; through the negative pressure system, the suction cup carries out adsorption so as to enable the robot to stay on the main detection portion for a long time; a detection platform is not needed to be erected in the detection work process, the detection cost is reduced, and potential safety hazards of aloft work are eliminated.

The invention relates to a method for checking human blood groups, in particular to a method for checking human ABO blood groups via electrochemical methods and a checking system. The system is composed of an electrode system and a current resistance checking system. The method comprises: adding an object sample on a modified electrode; according to the change of the alternative current resistance caused by the reaction between the red blood cells in the blood sample and the blood type antibodies fixed on the surface of the electrode, judging the blood groups. The method has simple operation and clear result, which can effectively avoid the subjective effect of operators.

The invention discloses an objective cloud matter element based industry comprehensive development level evaluation method, and belongs to the field of industry evaluation. The method is characterizedby comprising the following steps: determining the class quantity of the collected data, and classifying the data; calculating the minimum central value of compactness of each index and each class, so as to work out the adjacent boundary value of each class; analyzing the index; if the index does not have clear upper and lower limits, calculating the upper and lower limits according to the central value and the known boundary value, to obtain an interval of each index and each class; calculating the expected value Ex, entropy En and hyper entropy He to form a boundary cloud model of each class, then calculating the correlation degree between each to-be-evaluated scheme and the boundary cloud model of each class; weighting with the index weight to obtain the evaluation class of each scheme. The invention provides an objective cloud matter element based industry comprehensive development level evaluation method which realizes objective division of the class interval of the class boundary cloud model, theoretically eliminates the subjective effect of manual division, and remarkably improves the objectivity and evaluation accuracy.

The invention relates to the technology of medical devices, in particular to a knee-jerk reflex electronic tester. The tester comprises a diagnosis box and a sensor; the diagnosis box comprises an LED lamp, a USB power supply port, a first Bluetooth communication module, a diagnosis box switch and a microprocessor; the sensor comprises a sensor switch, a sensor charging port, a second Bluetooth communication module and an acceleration sensor; the first Bluetooth communication module is connected with the second Bluetooth communication module in a communicating mode; the LED lamp, the USB power supply port and the second Bluetooth communication module are connected with base pins of the microprocessor; the LED lamp and the USB power supply port are arranged on the outer surface of the diagnosis box; the sensor switch, the sensor charging port and the second Bluetooth communication module are connected with the acceleration sensor through a circuit board; the sensor switch is arranged on a sensor shell, and the sensor charging port are formed in the sensor shell. According to the knee-jerk reflex electronic tester, the subjective effect which is possibly caused by naked eye observation of doctors is eliminated, through a large amount of test samples, the weak, moderate and strong range of the knee-jerk reflex intensity can be constantly adjusted, and the diagnosis value is more precise.

The invention discloses a brightness and chrominance balanced coding and decoding method, system and device. The brightness and chrominance balanced coding and decoding method is characterized in that chrominance information is pre-compressed at the coding end and code streams saved in chrominance are distributed on brightness having the largest effect on the visual effect, and accordingly the brightness rate distortion performance is improved; the reducing range of the brightness rate distortion performance is controlled to not affect the visual effect through chrominance information post-recovery at the decoding end, or the subjective effect is improved through chrominance information post-enhancement. Therefore, improvement of the subjective and objective performances of the coding and decoding technology is finally achieved.

The invention relates to a method for selecting irregular dividing video coding modes, comprising the following steps: presetting a first to tenth block dividing coding modes; extracting the edge of an image in the current macro block by utilizing an edge extracting operator, and acquiring gradient information of image data in the current macro block according to the edge of the image; setting binarization result of the image data according to the gradient information; selecting a block dividing coding mode for the current macro block according to the binarization result of the image data of the current macro block; and outputting the block dividing coding mode of the current macro block and the conventional rectangular block dividing mode into a coder mode selection module, and selecting an optimal block dividing coding mode of the current macro block. By applying the method provided by the invention, overcompression of the edge of an object in the coded image can be effectively avoided, the edge of the object in the coded image is smoother, and the subjective effect of the coding is effective enhanced.