114 results about "Temporal continuity" patented technology

A scheme for graphical user interface using a polygonal-line-shaped slider that enables a user to intuitively manipulate-and playback spatio-temporal media data such as video data and animation data without deteriorating the temporal continuity of the data in interactive manipulation and playback of the spatio-temporal media data is disclosed. In this scheme, the slider is composed of a polygonal line composed of at least one segment and a coordinate indicator that is moved along the polygonal line. Data corresponding to coordinates specified by the coordinate indicator is entered. The apparatus according to present invention stores the coordinates of vertexes of the polygonal line, stores input coordinates, maps the input coordinates onto a point on the polygonal line, and positions the coordinate indicator at the point.

Systems, devices, and methods for more accurately determining a radiopharmaceutical dose administered to a patient by relying on a time factor. Particularly, broadly contemplated herein is the administration of a dose on the basis of an elapsed time from when a dose was last accurately measured in the past to when it is injected into the patient. As such, when a dose is first measured, that timepoint is preferably recorded whereupon the time of injection or administration into a patient is also recorded. Based on the original measured dose, the radionuclide (and thus its known decay rate) and the time elapsed, the dose is calculated and not directly measured on injection. The clocks on the filling station and the transport cart are synchronized to each other or to a known and accepted time standard. In this manner, there is temporal continuity and no inaccuracies of time or loss of time occurs between measurement and injection.

An image capture apparatus includes an image capture unit having a plurality of exposure adjustment functions including an electronic shutter function for changing an exposure time within a frame period and configured to capture an image of a subject to obtain image data, and an image-capture control unit configured to allow the image capture unit to execute an image capture operation of capturing a plurality of frames of image data having continuity in time at a fixed frame rate and configured to perform exposure adjustment control in accordance with a subject brightness level obtained during the execution of the image capture operation, the exposure adjustment control being performed using preferentially an exposure adjustment function other than the electronic shutter function.

In a method to determine phase and/or amplitude between interfering, adjacent x-ray beams in a detector pixel in a Talbot interferometer for projective and tomographical x-ray phase contrast imaging and/or x-ray dark field imaging, after an irradiation of the examination subject with at least two coherent or quasi-coherent x-rays, an interference of the at least two coherent or quasi-coherent x-rays with the aid of an irradiated phase grating is generated, and the variation of multiple intensity measurements in temporal succession after an analysis grating is determined in relation to known displacements of one of the gratings or of an x-ray source fashioned like a grating, positioned upstream in the beam path, relative to one of the gratings. The integrating intensity measurements ensue during a relative movement—thus not during the standstill—of one of the upstream gratings or of the x-ray source fashioned like a grating or of the examination subject, with known speed behavior over a final time interval of a final distance.

An image processing apparatus includes a pre-combination processing unit configured to perform a pre-combination process so that a plurality of frames of image data having continuity in time are used as combination-use image data to be combined, an operation detection unit configured to detect operation input information used for a combination process, and a combination processing unit configured to perform a combination process on the combination-use image data of the plurality of frames obtained in the pre-combination process according to the operation input information detected by the operation detection unit so as to generate combined-image data representing a still image.

An image capture apparatus includes an image capture unit configured to capture an image of a subject to obtain image data, an image-capture control unit configured to allow the image capture unit to execute an image capture operation of capturing a plurality of frames of image data having continuity in time so that a frame rate of the image capture unit is changed in accordance with a change of a subject brightness level during the execution of the image capture operation, and a combination processing unit configured to perform a combination process using, as combination-use image data to be combined, the plurality of frames of image data having continuity in time captured by the image capture unit so as to generate combined-image data representing a still image.

The invention discloses a non-contact perceptive positioning method. A transmitting end is WiFi signal transmitting equipment; a receiving end is a WiFi signal receiver corresponding to the transmitting end; an antenna array is constructed to receive signals; based on the difference between antennas, and by utilization of signal coherence, the arrival angle of a reflected signal of a moving target is identified; simultaneously, the relative lengths of various reflection paths of the dynamic target are estimated by utilizing the difference between carriers having different frequencies; and the arrival angle of a signal of one of the reflection paths is selected and used as the angle of the positioning target relative to receiving equipment. According to the non-contact perceptive positioning method disclosed by the invention, the positioning target does not need to carry any equipment; accurate non-contact perceptive positioning of a dynamic object can be realized by utilizing a WiFi network card; the position of the target can be determined by only needing one WiFi transmitting end and two WiFi receiving ends at least; the missing measurement value is complemented by utilizing the spatial and time continuities of movement simultaneously; and thus, the perceptible range is enlarged.

The invention discloses a video semantic scene segmentation method based on a convolutional neural network, which is mainly divided into two parts, wherein one part is that a convolutional neural network is built on the basis of shot segmentation, and then semantic feature vectors of video key frames are obtained by using the built convolutional neural network; and the other part is that the Bhattacharyya distance between the semantic feature vectors of two shot key frames is calculated by using the time continuity of the front and back key frames according to the semantic feature vectors, andthe semantic similarity of the shot key frames is obtained through measuring the Bhattacharyya distance. Probability estimation values of different semantics are outputted by using the convolutionalneural network to act as a semantic feature vector of the frame. Considering a time sequence problem of scene partition in the continuous time, the shot similarity is compared by combining semantic features of the two shot key frames and the time sequence feature distance between the shots, and thus a final scene segmentation result is obtained. The method disclosed by the invention has certain universality and has a good scene segmentation effect under the condition that training sets are sufficient.

The invention discloses a pure remote sensing data driven drainage basin water circulation simulation method, comprising the following steps: building a drainage basin water circulation simulation framework including a vegetation interception and evapotranspiration process, a runoff production process and a runoff concentration process and compatible with spatial information; completing the simulation of drainage basin runoff production and concentration processes entirely based on remote sensing data, and getting the background values of total runoff yield and runoff volume of any grid point in a drainage basin; and adding a model parameter self-optimization module, constructing an objective function, carrying out random sampling to generate a simulation parameter sample combination to be calibrated, introducing a model for iterative operation, and determining eligible drainage basin water circulation simulation parameters and runoff production and concentration simulation results. The dependence on the observation data of a traditional meteorological site is reduced effectively, the spatio-temporal continuity and spatial heterogeneity of water circulation are better reflected, and the physical mechanism and multi-source data compatibility of the method are enhanced.

The invention relates to a time-space domain multi-field related de-interlacing technology, which is convenient to realize by hardware. The invention provides a de-interlacing method with time-space domain information based on a movement adaptive algorithm. Different from moving state directed by an ordinary movement adaptive algorithm, that is field-in interpolation, the invention still searches for related points in a small scale of adjacent fields when it judges that it is in the moving state. It further determines specific interpolation method of next step by comparison with a predetermined value. The predetermined value ensures inter-field direction correlation of current field enough, which makes inter-field pixel points with large direction correlation participate interpolation calculation. It consumes less hardware resources compared with various search algorithms of movement compensation and is added with time domain information compared with movement adaptation, which makes the interpolation result in movement condition have time continuity. It uses peripheral point information to calculate, which overcomes effect of noise to mono-point operation and improves movement interpolation accuracy.

The invention relates to a method and apparatus for detecting infrared dim small targets under a complex background, belonging to the technical field of infrared target detection. At first, the invention adopts a bilateral filtering algorithm to preprocess the single-frame infrared images in an image sequence successively, so as to reduce noise interference in the image and enhance the signal-to-noise ratio at the target; then, a single-frame infrared target detection algorithm based on block extremum is used to detect the potential candidate target sets in each preprocessed image frame by frame; based on the spatio-temporal continuity of small targets in multi-frame images, a pipeline filtering algorithm is used to identify the possible real targets in the candidate target set; finally the false alarm removal strategy is used to eliminate the false target and finally confirm the true target. Through the process, the invention overcomes the shortcomings of weakening target intensity, blurring edge, enlarging contour and the like brought by the prior infrared image processing technology, and can better retain and enhance the dim small target information, improve the target detectionrate, and reduce the missed detection rate and false alarm rate of the target.

The invention provides an automatic video color coordination processing method and a processing system thereof. The automatic video color coordination processing method includes steps of cutting a video file into lens video sections, reading in a lens video section, performing color coordinating process on each frame in current lens video section according to a matching coordinated color template of a first frame and time and space neighborhood points of pixels of each frame, wherein the time and space neighborhood points comprise space neighborhood points and time neighborhood points, further, judging whether the current lens video section is the last lens video section of the video filer or not, if not, then executing the previous step, and if so, then completing the process of the video file. Besides, the invention further provides an automatic real-time video color coordination processing method. As all the frames in one lens video section correspond to the same coordinated color template, and the color coordinating result of the front frame is utilized as a foundation of color coordination of the current frame, space continuity and time continuity of color coordination of each frame in one lens video section are guaranteed.

The invention discloses a target tracking method based on fuzzy learning. The method mainly comprises the steps that firstly, a sparse representation algorithm is used to track a target in the aspect of a tracker; secondly, in the aspect of a detector, cascade classification detectors (a variance classifier, a collection classifier and a nearest classifier) are used to detect the target position; and finally, in the aspect of learning update, a fuzzy learner is used to integrate the output results of the tracker and the detector, and the final target position is acquired according to the membership of four constraints of time continuity, the spatial uniqueness , the similarity and the target size consistency. According to the target tracking method based on fuzzy learning, the real-time performance is ensured, and at the same time the adaptability to the target illumination change is great; and the discriminant ability of a learner is improved; the tracking accuracy and robustness of the algorithm are improved; and the method has important theoretical and practical significances for the research and practical application development of target tracking.

The invention provides a pulsar observation device, system and method. Accurate time interval information can be obtained by counting a sampling clock, the time information of sampling time and sampled data are input into a data frame together to ensure highly consistent time and signal, the integer seconds obtained by time synchronization of a hydrogen atomic clock and a GPS receiver and the decimal seconds obtained by counting the sampling clock are utilized to acquire time information, thereby acquiring nanosecond scale high precision pulsar signal arrival time, and greatly improving the precision and accuracy of pulsar observation. In order to avoid the time error caused by data transmission loss, a network checking head is added in the data frame, compensation can be carried out if data frame loss is found, thus guaranteeing the data integrity and time continuity of long-time observation, and being of important significance to pulsar observation data processing.

The invention relates to a rapid motion estimation self-adaptive selection method based on motion complexity. Firstly, according to the time continuity of a video sequence, the frame level judgment of motion complexity is carried out taking the motion complexity of the image of a previous frame as the basis; then according to the result of the frame level judgment, the judgment of macro-block level motion complexity is carried out on image frames required to continue the judgment according to the space correlation of the video sequence; and finally, the motion estimation is carried out on the current macro-block to select the motion estimation method according to the judgment of the motion complexity for the frame level and macro-block level. On the basis of the analysis for the advantages and disadvantages of the diamond search method and the motion estimation method, the invention utilizes the complementarity of the existing methods, combines the self-adaptive threshold value and the judgment of premature termination conditions to select suitable search method through the calculation of the frame-level motion complexity and macro-block level motion complexity of the video sequence. Experiment results show that the invention can achieve the purpose of rapid motion estimation on the precise of guaranteeing the image quality.

The invention provides a production technology for a rattan-woven wood bottom vase. The production technology comprises the following steps that fresh willows are selected and processed into a circular or rectangular wood board, and then the wood board is immersed for 1-2 h through preservative liquid; freshly-cut rattan is naturally aired and dried, the interior of a pressure tank is pressurized through mixed gas of nitrogen and carbon dioxide, and the interior of the pressure tank continues to be pressurized to 0.15 MPa-0.2 MPa through hot steam; the processed wood board and the processed rattan are input into a drier to be dried, and the rattan is utilized for being woven on the wood board to form the vase; distilled water is sprayed to the vase for wetting, and drying is conducted again through the drier. According to the production technology, the corrosion resistance and oxidation resistance of the vase are greatly improved, planting soil can be placed in the vase and used for planting flowers, and the vase cannot be decomposed by humus bacteria. The vase manufactured through the production technology is particularly suitable for being used near the equator, and the vase can bear long-time and continuous high-temperature scorching in the open and resist the high-intensity ultraviolet irradiation.

The invention provides a video retargeting system for maintaining visual saliency. The system comprises a salient image calculating module, a candidate seam extraction module, a curve deformation module, a salient curve detection module, a graded shape matching module and an optimum seam calculating module, wherein the salient curve detection module comprises a curve endpoint detection module and a curve tracking module; and the graded shape matching module comprises a shape tree construction module and a deformation cost calculating module. The video retargeting system greatly reduces curve deformation and distortion which are easily caused by a conventional video retargeting method, reserves visual saliency information in a video on the basis, maintains the time continuity, is lower in algorithm complexity, and has good subjective feeling and objective quality assessment.

Provided is a classification device capable of classifying time series data of location information into groups in which continuity of time is secured. The classification device (100) includes a data storage unit (110) that stores time-of-day information and location information corresponding to the time-of-day information, a sorting unit (120) that sorts the location information in order of time using the time-of-day information, a hidden Markov model storage unit (130) storing therein a left-to-right hidden Markov model containing a plurality of states and in which a parameter is undetermined, a Markov model output unit (140) that determines the parameter by inputting the location information sorted in order of time into the hidden Markov model, and a classification unit (150) that classifies each location information in one of the plurality of states by inputting the location information sorted in order of time into the hidden Markov model containing the determined parameter.