179 results about "Subjective feeling" patented technology

To more accurately control insertion of penetrating instruments (e.g., trocars, needles, or the like) into a body cavity, organ, or potential space, an accelerometer is coupled to the penetrating instrument. The accelerometer may by employed to measure or detect the sudden lack of resistance which occurs when the penetrating instrument penetrates to a predetermined depth (e.g., through the abdominal cavity, vein, or outer bone) in a more accurate and reliable way instead of practitioners' subjective feeling. An acceleration sensor (i.e., accelerometer) coupled to the penetrating instrument (e.g., trocar or the like) may transform the physical variable ‘resistance change’ into an electronic signal that is then processed in an electronic circuit, and finally triggers an audible / visible alarm and / or feeds an actuating mechanism to control movement of the penetrating instrument.

The invention discloses an extraction method for a region of interest. The extraction method specifically comprises the following steps of: 1, preprocessing an original image; 2, calculating a salient map for the original image; 3, cutting the original image by using a watershed segmentation algorithm; 4, calculating interest of each region according to the salient map and a segmentation result; and 5, detecting the region of interest. According to the extraction method, the region of interest in the image can be automatically searched and found; an Itti model for simulating a human attention mechanism is adopted; and the found region of interest is basically matched with the subjective feeling of a person. Compared with manual marking of the region of interest, the extraction method is faster and more accurate.

The invention discloses a text classification model optimization method based on crowdsourcing feedback and active learning. The method comprises the following steps that: selecting a text dataset, dividing the text dataset into an initial training set and a residual dataset; obtaining a word from the text dataset; constructing the feature set of the text dataset, and carrying out vectorization on the text dataset; and introducing the active learning on a classification model, predicting the sentiment polarity of the text dataset subjected to the vectorization, and combining a crowdsourcing feedback information optimization model to obtain a text classification result. By use of the method, constructing is used for collecting manually annotated reasons, more user information is obtained, the subjective feeling of people is mined, crowdsourcing feedback information is fused into the model in a weight change way, and the text classification model is optimized so as to improve model classification performance. An active learning algorithm is also introduced, and an annotation sample with a highest value is picked up and handed to a crowdsourcing platform to be annotated so as to lower annotation cost. Under a limited budget, annotation accuracy is improved, and the problem that a text classification task containing label data is in shortage is solved.

The invention discloses a method for evaluating quality of streaming video without reference. The method is realized in a simulation environment of simulating network loss on MPEG-TS stream; network damage is simulated through man-made loss, simultaneously loss data is recorded, attribute of the data is analyzed, an image of the loss is stored, and impact to visual effect after the data loss is observed by eye, thereby establishing a one-to-one correspondence. In practical application, a QOE evaluation value which is in accord with subjective feeling of a user can be acquired through sampling and analyzing a transmission media and analyzing the network damage. In the method, video flowing is directly analyzed without source file information, analysis process is simple and complex algorithm is not needed, quality of user experience is reflected in real time and an accurate evaluation value is given, and an objective evaluation method and a subjective evaluation method are combined to ensure the evaluation value is closer to the real feeling of the user.

The invention discloses an objective evaluation method of no-reference video quality weighted by key frame image quality. The method comprises the steps of: firstly, preliminarily selecting a key frame according to a movement intensity method weighed by a human eye interest, then dividing the preliminarily selected key frame into a scene switching type key frame and a non-scene switching type key frame by correlation analysis; evaluating image quality of the non-scene switching type key frame, subdividing the non-scene switching type key frame into a content change type key frame and a quality change type key frame according to an evaluation result; finally carrying out weighted summation calculation on single frame quality by using a duration factor and a deterioration frequency factor of the quality change type key frame, and obtaining the quality evaluation result of an entire video sequence. According to the objective evaluation method, the defect that then existing evaluating technology cannot be coincided with an actual subjective feeling; computation complexity can be reduced on the premise of ensuring the evaluating performance; the objective evaluation method is suitable for automatic evaluation of various video applications of an existing network, simple in operating steps and easy to integrate.

The invention provides a quality estimation method of exit-entry digital portrait photos. The quality estimation method comprises the following steps: the format size and file size detection of each digital portrait photo, face detection, eye positioning, face horizontal centering detection, the exposure detection of global luminance deviation and partial luminance deviation, the clearness detection of contrast evaluation and ambiguity evaluation and the color detection and the background detection for detecting the skin naturalness in an Lab color space and judging whether colors in an image face area are qualified or not. The quality estimation method has the advantages that a quality estimation module of the digital portrait photos, specific quality detection items, detection flows, estimation indexes and estimation methods are established, which is different from the prior quality estimation method of the digital portrait photos relying on subjective estimation. The invention judges the quality of each digital portrait photo without relying on a standard image, obtains the judging result in accordance with the subjective feeling of people and the requirements of a face recognition system, thereby favorably satisfying the business requirements for managing the exit-entry digital portrait photos.

The invention provides an indoor environment integrated control system based on user comfort. The system comprises a human-computer interaction device, a detection device, a control device and a regulating device, wherein the human-computer interaction device is used for receiving the comfort information of a user about an indoor environment and generating a relevant comfort information signal; the detection device is used for detecting one or more current environment parameters of the indoor environment and generating relevant current environment parameter signals; the control device is used for receiving and analyzing the comfort information signal and the current environment parameter signals to obtain a target parameter domain of the indoor environment and generating an environment control signal corresponding to the target parameter domain; and the regulating device is used for executing regulating action according to the environment control signal so as to regulate the current environment parameters to be relevant target environment parameters. The invention also provides an indoor environment integrated control method based on user comfort. Indoor environment regulating equipment is regulated based on the subjective feeling of the user comfort, so that comfortable and satisfactory indoor environment can be provided for users.

The embodiment of the invention provides a movie and video resource recommendation method and device. The method comprises the following steps of obtaining an interestingness tag of a target user; matching at least one movie and video tag according to the interestingness tag, wherein the movie and video tag at least includes a nominal tag extracted from a scenario text of the movie and video resource or an adjective tag extracted from a comment text of the movie and video resource; according to the at least one movie and video tag, obtaining at least one part of corresponding movie and video resource; recommending the at least one movie and video resource to the target user. The method and the device provided by the invention have the advantages that the nominal movie and video tag can show the liking contents of movie and video resources of the user; the adjective movie and video tag can better show the subjective feeling of the movie and video resource; the nominal movie and video tag and the adjective movie and video tag are combined for performing movie and video resource matching; the interestingness of the user can be met in multiple aspects and multiple angles; the movie and video resource recommendation accuracy is improved.

The invention relates to a no-reference image definition detection method. The method comprises the following steps of: firstly, calculating a gradient map according to the existing grey-scale map; secondly, positioning strong edge points by using an open edge detection algorithm; thirdly, calculating the edge width of each strong edge point to obtain an edge width cumulative histogram; fourthly, carrying out wavelet transform on the existing gray-scale map, and calculating the energy of high-frequency wavelet coefficient; fifthly, counting a grey-scale histogram according to the existing grey-scale map, and calculating the feature of the grey-scale histogram according to the grey-scale histogram; and finally, estimating the definition of the grey-scale map according to the edge width cumulative histogram, the energy of high-frequency wavelet coefficient and the feature of the grey-scale histogram. According to the method, the definition of images can be detected without reference images, and the definition value is consistent with the subjective feeling of eyes. The method is not influenced by the image content and the luminance of the field of view, and the detection result has a certain robustness to interferences such as coding and noise.

The invention discloses an objective evaluation method of transmission whine noise. The objective evaluation method of the transmission whine noise comprises the following steps: slicing a one-third octave spectrogram of a vehicle interior noise based on a transmission whine order to obtain a sound pressure level curve; calculating a difference between the obtained sound pressure level curve and the sound pressure level curve of the transmission whine order; using the obtained differential curve as an objective evaluation index for the transmission whine; finally, comparing the index with a qualified line to obtain an objective evaluation conclusion. The objective evaluation method of the transmission whine noise uses the parameterized evaluation index for objectively and precisely evaluating the subjective feeling of people to the transmission whine noise. Meanwhile, the objective evaluation method of the transmission whine noise is convenient in use, and high in practicality.

The embodiment of the invention provides a method and device for obtaining a traffic jam index and relates to the field of traffic information. When the traffic jam index is obtained, user mental feelings and the external environment are considered additionally, and the problem that evaluation of a traffic jam from a traffic jam index obtained from the prior art is not accurate is solved. The method includes the steps that traffic flow data are obtained and a speed kernel function expressing the influence on the traffic jam index from the speed is established; weather identification is obtained and a weather influence function expressing the influence on the traffic jam index from the weather is established; time quantum identification is obtained and a subjective feeling function expressing the influence on the traffic jam index from the user mental feelings is established; through the speed kernel function, the weather influence function and the subjective feeling function, a traffic jam index calculation model is generated, and the traffic jam index is obtained through the traffic jam index calculation model. The method is used for obtaining the traffic jam index.

The invention discloses a VR technology-based depression auxiliary treatment virtual scene system and a realization method for the same. The system comprises a virtual scene interaction module, a data collection module and a data analysis module all connected with each other, wherein the virtual scene interaction module has a VR device; the virtual scene interaction module is connected with the data collection module via the VR device; the data analysis module has a database; the virtual scene interaction module further comprises an environment module, a role module and plot module; the environment module has a place module, a sound module, a color module and a weather module; the data collection module has a physiological data module and a subjective feeling module; and the data analysis module has the database and a data processing module. Under correct instructions and rational use of an immersion type experience treatment method based on the virtual scene system, a depression mood can be alleviated.

The invention discloses a no-reference objective video quality assessment method. According to the assessment method, video files are processed and calculated respectively based on a plurality of quality parameters for assessing video quality, and the values of the calculated quality parameters are synthesized into a final video quality assessment value, wherein the quality parameters comprise block effect, signal-to-noise ratio, contrast and edge energy. The method comprises the following steps of: performing sub-frame pre-processing on the video files, then extracting the values of the quality parameters, and finally acquiring a numerical value capable of objectively assessing the video quality by linear fitting. The quality of the distorted video is assessed according to a human visionsystem and signal-to-noise ratio, block effect, contrast and edge energy and the like; and the method is higher in accuracy, more comprehensive in analysis and more consistent with the subjective feeling of the human being, and the effect of the method can be matched with full reference assessment.

The invention discloses an image quality objective evaluation method based on human eye visual characteristics, which comprises the following steps: carrying out the visual weighting to the gradient phase information distortion degree of a distorted image by utilizing the image gradient amplitude information and in combination with the bandpass characteristics and the brightness sensitivity characteristics of contrast sensitivity functions of a human eye visual system; and reflecting the quality change of the image through the weighting distortion degree. The image quality objective evaluation method has the advantages that when the gradient phase information of the distorted image is changed, the effect on the quality of the image is considered; and the gradient amplitude information andthe human eye visual characteristics are combined so as to lead the evaluate results to be consistent with the subjective feeling of people, therefore, the subjective perception results of human eyesare better reflected.

The present invention discloses a code integrating system and method and a decode integrating system and method, which belongs to the multimedia signal processing and information source coding field. The code integrating system comprises a receiving module, an extracting module, a sort module, a sub-coder, a control module, a merge module and a packing and transmitting module; the decode integrating system comprises a receiving and unpacking module, an analyzing module, a sub-decoder, a control module and a buffer memory outputting module. The code integrating method comprises that relevant information is extracted from the multimedia signal and one route main signal; the main signal or the multimedia signal is classified; the main signal is coded by the sub-coder, and then merged with various parameters and outputted after packing. The decode integrating method comprises that code stream data is received, the main signal is gained by decoding after unpacking and analyzing, and the main signal or the processed main signal is outputted. The present invention can fully exert the ascendancy of various individualized multimedia coder, and meet the requirements of subjective feeling characteristics and different channels.

It is provided a method for providing synchronized content playback to at least two display devices at the presentation level, wherein, at least one content flow is provided to the at least two display devices. It comprises steps of receiving status report messages from the at least two display devices, wherein the status report message comprises information about the position of content flow currently being playbacked at the presentation level of a display device; and if determining the at least one content flow currently being playbacked on the two or more display devices make viewer feel out of synchronization based on the received status report messages, performing adjustment for the at least one content flow so as to eliminate viewer's subjective feeling of out of synchronization.

The invention discloses an anti-shake device and method of a video camera. The anti-shake device comprises a position sensor, a controller, a servo mechanism, an imaging device and a frame extraction device, the position sensor measures linear acceleration and angular acceleration caused by shaking of the video camera and transmits the linear acceleration and the angular acceleration to the controller, the linear acceleration and the angular acceleration caused by shaking can be converted into mobile distance and angle by the controller, the mobile distance and angle are then compared with the maximum distance and the maximum angle of moving of the imaging device, image frames with the moving distance and angle caused by shaking and exceeding the maximum distance and the maximum angle of moving of the imaging device is abandoned in advance, and on the premise of no influence on subjective feeling of videos, the image frames exceeding the set frame number are abandoned actively according to preset strategies, the servo mechanism is controlled to stop actions within the framing period of abandoning the image frames in advance and the frame extraction device is controlled to abandon the image frames to be abandoned. By the anti-shake device and method, operation time and distance of the servo mechanism are reduced, and servo accuracy requirements are lowered.

The invention provides an objective evaluation method and a system for the quality of an infrared polarization image. The method comprises the following steps of S1, acquiring an infrared polarization image based on a target detection visual task, establishing an image definition evaluation model based on a human eye contrast sensitivity function and a perception contrast model, and calculating the image definition of a to-be-evaluated image; S2, selecting a target neighborhood and calculating the contrast based on the target neighborhood; S3, linearly combining the image definition with the contrast based on the target neighborhood, establishing a image sensing quality model and objectively evaluating the quality of the image. According to the invention, the image sensing quality model of the infrared polarization image is good in consistency with the subjective feeling of human eyes based on the visual characteristics of human eyes. In this way, the quality of the infrared polarization image can be objectively evaluated.

The invention discloses a method and device for assessing multimedia quality. The method comprises the step of obtaining benchmark quality and ultimate quality of a video of a multimedia sequence and benchmark quality and ultimate quality of of an audio of the multimedia sequence, the step of determining the benchmark quality of the multimedia sequence based on the benchmark quality of the video and the benchmark quality of the audio, the step of determining a distortion value of the multimedia sequence according to the benchmark quality of the video, the ultimate quality of the video, the benchmark quality of the audio and the ultimate quality of the audio, and the step of determining the multimedia quality of the multimedia sequence according to the benchmark quality of the multimedia sequence and the distortion value of the multimedia sequence. The method and device for assessing the multimedia quality can directly reflect the distortion of the multimedia sequence, conforms to the subjective feeling of people, and then can accurately and effectively assess the multimedia quality.

Method and system for self-assessment of drinking behavior. According to one embodiment, the method includes examining a transdermal alcohol response curve obtained from a drinking event, querying a user on their feelings of intoxication after or during the event, and using the combination of the objective measurement and subjective feelings of intoxication to provide an alert or status during subsequent drinking events. In so doing, the method mitigates at least some of the drawbacks associated with conventional alcohol monitoring devices by correlating an individual's reported feelings of intoxication with an objective transdermal measurement of alcohol.

The invention discloses a stereo video comfort evaluation method combining multiple parallaxes with motion, and belongs to the technical field of stereo video visual comfort evaluation. The method brings forward that three parallaxes of an object and the motion characteristic of the object are taken as important factors affecting stereo video comfort; four factors affecting the stereo video comfort are extracted, including an inter-frame substantial object parallax, an inter-frame correlation background parallax, an inter-frame parallax and a motion variable, a parallax graph is synthesized, a horizontal parallax is extracted, and a depth parallax is calculated; and a function relation between a subjective evaluation and the four major factors is established through combination of a depth perception theory and a least square fit method, a stereo video comfort evaluation model is obtained, and then the model is evaluated by use of a subjective evaluation method. According to the novel stereo video comfort evaluation method brought forward by the invention, the established model can be used to well simulate the subjective feeling of human eyes, and therefore, the method has great significance on research on the comfort of the human eyes in watching a stereo video.

The invention discloses a non-reference image quality evaluation method based on a convolutional self-coding network. The concrete steps of the invention are as follows: constructing a convolutional self-coding network; constructing a fully connected neural network; generating a pre-training set, a training set and a test set; training a convolutional self-coding network and fully connected neuralnetwork; and making row quality evaluation of distorted images in the test dataset. The convolutional self-encoding network is used to encode non-reference images and image blocks thereof respectively, global semantic features and local distortion features are extracted from the coding of non-reference images and their blocks by using the fully connected neural network, and the two features are fused, and the fused features are mapped to perceptual quality scores by using the fully connected neural network. The evaluation results are more consistent with the subjective feelings of people.

The invention relates to a comprehensive non-reference video quality evaluation method. The method uses a quality evaluation module embedded in a decoder for completion. The method has the concrete steps as follows: (1) an input signal of an independent evaluation module is selected from following more than one signal: a. an intermediate result output in each stage of an encoder; b. the input signal of the encoder; c. the output signal of the encoder; (2). each independent evaluation module respectively finishes a respective evaluation result and inputs the respective evaluation result to an overall system adjustment module; (3) the video quality evaluation is finished in the overall system adjustment module. The method has the beneficial effects that the final evaluation can be suitable for different application scenes and service types; the basically accurate evaluation is rapidly obtained and is closer to the subjective feeling of people.

The invention relates to a color harmony based color fusion image color quality evaluation method, and belongs to the technical field of image fusion in image processing. The method provided by the invention comprises the following steps of: measuring the similarity of fusion image color of natural scene type of horizon as well as green vegetables with the corresponding typical type of memorized color in human brains and selecting the optimal color degree range of town building images, thus calculating the harmony of three kinds of typical scene colors and scene content; and meanwhile, on the basis of a color combination harmony model, constructing a combination weighting harmony model of color regions with different sizes in the image by taking the sum of the color region areas as a weighting coefficient. Compared with the existing color combination harmony evaluation model, the harmony model calculation result disclosed by combining the two aspects has good consistency with human eye subjective feelings, and the typical scene color fusion image color harmony can be evaluated objectively and effectively.

The invention relates to a bi-directional interaction human-computer interface of a building environment control system, which is characterized by comprising a frame body. A liquid crystal display touch screen is arranged on the frame body; a power supply and a communication interface are connected with the frame body; and a user subjective feeling input area for inputting various comfortable feeling buttons of a user, a user instruction input area for inputting various indoor environment control equipment instruction sliders, an environment state display area for displaying various environment parameters and a control equipment operation state display area for displaying various control equipment operation states are arranged on the liquid crystal display touch screen. Through the invention, the background control system can quickly provides a comfortable environment for the user according to the subjective feeling input by the user, and the user can acquire the feedback information such as the energy consumption state and the energy cost from the control system, thus the energy saving consciousness of the user can be aroused so as to avoid waste.

The invention discloses a method for detecting the color of the Chinese herbal tablet, comprising the followings steps: converting the information on the color of the contrasted Chinese herbal tablet and the Chinese herbal tablet to be detected into the CIELab value, and calculating the difference between the color of the contrasted Chinese herbal tablet and the color of the Chinese herbal tablet to be detected according to the CIEDE2000 color difference calculation formula. The method can be used for quantitatively describing the color of the Chinese herbal tablet and the difference between the color of the contrasted Chinese herbal tablet and the color of the Chinese herbal tablet to be detected so as to change the status quo of the traditional method for judging the color of the Chinese herbal tablet fully by the subjective feeling and experience and better ensure the quality of the Chinese herbal tablet. The CIELab value is obtained in such a way of putting the contrasted Chinese herbal tablet and the Chinese herbal tablet to be detected on the white background, taking a picture for the contrasted Chinese herbal tablet by using a CCD camera when a certain condition being met, collecting the picture for the contrasted Chinese herbal tablet in a computer and converting the information on the color of the contrasted Chinese herbal tablet in the picture into the CIELab value.

The invention discloses a device and a method for estimating discomfort in watching 3D images by bioelectricity, wherein the device comprises a 3D playing device and a watcher, an electroencephalogram collection recording unit for collecting electroencephalogram signals from the watcher, a myoelectricity collection recording unit for collecting myoelectricity signals from the watcher, a signal processing unit for receiving and processing the collected electroencephalogram signals and the collected myoelectricity signals, and a characteristic quantity extraction part for extracting characteristic quantities from the signal processing unit. The method comprises the following steps: initialization settings of the system, collection of the electroencephalogram signals and the myoelectricity signals, and signal processing. The invention provides the method for estimating the discomfort in watching the 3D images by utilizing bioelectricity signals, which extracts characteristic quantities of the bioelectricity signals indicating discomfort in watching the 3D images by collecting and processing the electroencephalogram signals and the myoelectricity signals so as to estimate the playing effect of a 3D image device; the electroencephalogram signals and the myoelectricity signals of an organism are not influenced by subjective feeling, and are the neuroelectricity physiological response of the organism to the playing effect of the 3D image device, therefore, the estimation method is an objective estimation method with high reliability.

The invention relates to an indoor temperature control system and method based on the subjective feeling. The system comprises a man-machine interaction unit which performs communication through the wireless network and an air conditioning tail-end device controller. The method comprises the following steps: the man-machine interaction unit sends wakening signals to the air conditioning tail-end device controller through a broadcast mode; the air conditioning tail-end device controller feeds back air conditioning tail-end position signals, the man-machine interaction unit analyzes and judges the relative distance between the air conditioning tail ends and the man-machine interaction unit, performs ordering according to the feedback of the position signals, and sends cold and hot quantity demand to the air conditioning tail-end device controller according to the proximity distance principle; the air conditioning tail-end device controller feeds back state signals of the air conditioning tail-end device controller, performs address configuration, analysis and encapsulation of a data package to the tail-end device, and calculates and optimizes indoor temperature setting value according to the cold and hot quantity demand at the same time, so that refrigeration capability and heating capability of the tail end of the air conditioning are adjusted. According to the system and the method, the refrigeration capability and heating capability of the tail end of the air conditioning are adjusted according to the subjective feelings of the temperature of indoor personnel in different positions.

The invention discloses a power downshift calibrating method and system of a double-clutch gearbox. The method comprises the following steps of executing calibration operation so that a vehicle can operate; when the vehicle runs to the preset gear, controlling the throttle opening degree according to the set target vehicle speed, so that a double-clutch gearbox controller and an engine control unit execute powder downshift; sending the rotating speed synchronization time to the double-clutch gearbox controller; in the power downshift process, collecting a longitudinal acceleration signal of the vehicle, and converting the longitudinal acceleration signal into the gear shift impact degree; judging whether the gear shift impact degree is within the preset allowable range or not; according to different conditions, resetting the rotation speed synchronization time or resetting the target vehicle speed; executing the calibration again; finally, screening and storing the calibration parameter combination; finishing the calibration. The method and the system have the advantages that the data analysis and evaluation on the downshift smoothness is realized without depending the experience and subjective feeling of detection personnel, so that the calibration precision and quality are ensured.

The invention discloses a car transparent A column device capable of adjusting the height to adapt to an eye point of a driver. An A column display screen information processing control unit is in communication connection with a camera. The input end of an A column display screen is in communication connection with the A column display screen information processing control unit. A display screen adjusting control HMI device and the A column display screen information processing control unit are in communication connection with a vehicle-mounted ECU through a CAN bus. The camera collects road traffic environment image information in front of a car, and the A column display screen information processing control unit conducts perspective transformation and cutting display processing on the environment image information obtained by the camera; the display screen adjusting control HMI device obtains action information on behalf of the driver intention and sends the action information to thevehicle-mounted ECU, and the vehicle-mounted ECU sends corresponding adjusting instruction to the A column display screen information processing control unit; and the A column display screen information processing control unit adjusts corresponding images displayed by the A column display screen so as to output part of covered image information which conforms to the driver subjective feeling anddisplayed through the A column display screen.