170 results about "Matched sample" patented technology

A media content database is created and maintained by comparing the media items from two related media streams. Segments of media items from the streams are sampled and stored. Samples from one stream are matched against samples from the other stream to identify any repeating content in the streams. A reviewer observes the matched samples representing the repeating content and provides identifying meta-data for that content. The identified media content is then added to the media content database, where it can be used at a later time in an application that requires media content recognition.

The invention discloses a method for realizing component marking during augmented reality process and an augmented reality system. The method comprises the following steps of firstly capturing a real scene target image containing a component to be marked through a terminal camera; then searching a sample image which is matched with the real scene target image and virtual marking information which corresponds to the sample image in an image database, wherein each group of virtual marking information comprises at least one transparent marking picture; and finally overlapping the transparent marking pictures one by one or in sequence on the real scene or sample picture so as to realize the effect of marking the component in the target picture. The technology can accurately mark augmented information of small component on an image, so that the application range of an existing augmented reality technology can be broadened, and the user experience is improved.

The invention discloses a method, a device and a server for searching pictures. The method for searching pictures comprises the steps of: obtaining at least one of items including the characteristic value of the picture, the data information related to the picture and the field information of the picture; transmitting the obtained at least one information item to the server; and receiving the corresponding association information of the picture, wherein the association information is obtained through matching by the server, and comprises a sample picture matched with the picture and/or the character information matched with the picture. By the mode, according to the method, the device and the server provided by the invention, the information related to the picture can return to the user, and more resources and services can be provided for the user.

The invention relates to a voice broadcasting system and method. Sample voice matched with a written message broadcaster role is recorded and sent to a voice storage module through a first network communication module and a second network communication module; stored voice data are acquired, voice feature parameters are extracted from the acquired voice data, model training is conducted on the voice feature parameters, and then a feature voice model is acquired; written messages needing to be broadcast by a user through voice are collected, and the collected written messages are sent to a feature voice synthesis module through the first network communication module and the second network communication module; the feature voice model and the written messages are acquired, feature voice with broadcaster voice features and written message content is synthesized, and feature voice data are stored in the voice storage module; the feature voice is broadcast. By the adoption of the system and method, voice with written message sender voice features can be broadcast, individualization is high, and the voice can be easily accepted by a hearer.

An active spoofing-method includes sampling data stream and matching sampled data with stored character information of hacker attack behavior, repositioning said data stream to spoof network for processing when matched result is decided to be doubt /abnormal data stream, catching data of attack behavior of hacker in spoof network and analyzing out new character information of hacker attack behavior then adding it into stored character information of hacker attack behavior. The spoof system for realizing said method is also disclosed.

An indication to a consumer that a product or item on a retail fixture matches a set of consumer preferences is provided by equipping a retail fixture with a consumer identification unit and with a display unit indicator associated with a sample product on the retail fixture. Responsive to a consumer moving from outside the proximity to inside the proximity of the consumer identification unit, the identity of the consumer is established, and the consumers set of preferences is retrieved. It is then determined, automatically, which sample products on the retail fixture matches the consumers preferences, and a display unit indicator is illuminated for the matching sample products such that the attention of the proximate consumer is directed to the physical location of the matching products.

The invention discloses a quick retrieval method and device of face recognition. The method comprises the following steps: establishing a sample database, carrying out binaryzation transformation on sample data, and carrying out Hash mapping on the sample data into a plurality of Hash tables; in the same way, carrying out the binaryzation transformation on the characteristic data of a sample to be queried, and utilizing Hash function projection adopted by establishing the sample database to obtain a binary code queue, and extracting matched samples in the plurality of Hash tables from the corresponding buckets of the Hash tables to carry out merge sort; calculating a Hamming distance between the binary characteristics of the sample to be queried and the binary characteristics of an effective sample subjected to the merge sort; and carrying out 1:1 accurate comparison on the effective sample of which the Hamming distance is smaller than a set threshold value and the sample to be queried to obtain most similar sample data. Through hierarchical query, a retrieval amount is drastically reduced, a floating point calculated amount is greatly reduced, and retrieval efficiency is high. In addition, the retrieval scheme has the advantages of high adaptation, wide application range and good popularization value.

The invention discloses an oil type identification method. The oil spill fluorescence spectra of serial concentrations in a certain concentration range are taken as fingerprint identification indexes to identify oil types, and can be considered as a traditional fluorescence spectrum plus a dimensionality that is the concentration so as to obtain more fluorescence signals of an oil spill sample, thus improving capability of identifying the oil types. The identification method comprises the following steps: half-diluting the normal oil spill sample with a certain fixed original concentration to prepare extraction liquids of the serial concentrations, and measuring the fluorescence spectra of the extraction liquids; selecting a 3D fluorescence spectrum or a synchronous fluorescence spectrum according to requirements for detection precision and data processing speed, thus establishing a concentration parameter supplemental characteristic spectrum database of the normal oil spill samples of different oil sources sequentially. While identifying the oil type of a certain oil spill sample, the oil spill sample is extracted and diluted in the same way, and the corresponding characteristic spectrum is obtained and identified by being compared with the sample characteristic spectrum in the database, thus the optimal matched sample is the oil type of the oil spill sample.

The invention discloses a novel method for processing high-resolution mass spectrum data, which belongs to the field of analytical chemistry. The method comprises the following steps: rapidly reading an XML file of original mass spectrum data, automatically deducting backgrounds from data chromatogram direction in a segmented mode, and preliminarily obtaining the mass spectral characteristics of the original data according to two parameters customized by user, wherein two parameters can be mass spectrum response threshold value and total characteristic peak number. On this basis, the data can be divided according to fixed size of a window from two directions of mass spectrum and chromatogram, distance between every two of mass spectral characteristics in a matched sample and a reference sample in the window is calculated, a shortest path in distance matrix can be obtained by employing a linear programmed optimization method, an optimal coupling relation table of the characteristic peaks is constructed, and drift of the samples can be corrected. Based on a high-resolution mass spectrum data peak fusion method, association relation between characteristics in same metabolism micromolecule and a coupling peak table of multiple samples can be obtained, so that identification of a metabonomics marker and discovery can be realized. The method is suitable for analyzing high-resolution mass spectrum data with low signal to noise ratio and complex background.

A method of determining a film coating thickness on a substrate including making near-IR spectra of a series of coating thickness or coating weight standards on an appropriate substrate material to match sample material in question, pre-processing the data to prepare it for multivariate calibration methods, performing the multivariate calibration, saving the calibration model in the hand-held near-IR device in an appropriate format, and using the calibration model to predict sample material thickness in question from their near IR spectra.

The invention relates to the technical field of human-computer interaction, and particularly relates to an information processing method and apparatus in the human-computer interaction. The information processing method includes providing a model sample database including a sample standard question and a sample extension question corresponding to each sample standard question; providing a knowledge base including a knowledge base standard question and a knowledge base extension question and answer corresponding to each knowledge base standard question and used for providing answers for users' questions; determining whether there is a sample extension question that matches the user's question in the human-computer interaction log in the model sample database; if yes, determining whether the corresponding standard question of the user question in the human-computer interaction log is the same as the corresponding sample standard question of the matched sample extension question; if no, optimizing the knowledge base. The invention further provides an information processing apparatus and system corresponding to the information processing method.

The invention provides a somatic action identifying method. The somatic action identifying method includes steps of 1) acquiring effective data segments of the somatic action by a speed sensor in the somatic device; 2) calculating DTW distance between the acquired effective data segments and the standard data segments and matching a sample library according to the DTW distance between the acquired effective data segments and the standard data segments; 3) calculating the DTW distance between the acquired effective data segments and each sample data segment in the matched sample library of the step 2), and using identifiers of the somatic action indicated by the minimum sample data segment of the DTW distance as the identifying results of the acquired effective data segments. The invention further provides a corresponding man-machine interaction device. On the premise of guaranteeing identifying accuracy, identifying efficiency is improved; high identifying accuracy is guaranteed on the premise that holding ways of the device during action identification are not limited.

A method of dictionary coding using coding unit (CU) based processing or using string length coding by taking into account of color component aligned matched sample-strings are disclosed. In the dictionary coding using CU based processing, the pixels in each CU is converted to one-dimensional (1-D) pixel data according to an intra-block scanning pattern. A string search is then performed to determine a match condition regarding whether a current sample-string starting at a current position of the current 1-D packed pixel data matches a previously coded sample-string in the reference 1-D packed pixel data. For string length coding by taking into account of color component aligned matched sample-strings, a flag is signaled to indicate whether the string length of one previously coded sample-string is in a length group corresponding to color-component-aligned previously coded sample-strings.

The invention relates to the technical field of identifying authenticity of sewage monitoring data. A method of mathematical statistics is comprehensively utilized, firstly, a Grabbs method is adopted for carrying out abnormal value judgment and correcting time monitoring data, the corrected time data is subjected to standard reaching screening according to the level standard required by the urban sewage treatment plant pollutant discharge standard (GB18918-2002), the data not meeting the discharge standard is removed, a t inspection method is adopted for verifying whether a spot check data sample mean is within a receiving domain of an overall sample mean or not, an X<2> inspection method is adopted for judging whether volatility of samples relative to the whole has the significant change or not, and then longitudinal comparison of the sewage monitoring data is achieved; an F inspection method and a box plot method are adopted for matching samples with similar year data dispersion degrees, and then transverse comparison of the sewage monitoring data is achieved. The authenticity of monitoring values is deeply detected layer by layer, and certain reference value is achieved for distinguishing the authenticity of the sewage monitoring data.

The invention discloses a large-capacity high-speed quasi-automatic chemiluminescence immunoassay analyzer. The analyzer comprises a box body unit, a plate shifting unit, a plate fetching and delivering unit, a plate unreeling unit, a vibration unit, a cleaning unit, an incubation unit, a substrate charging unit, a detection unit and a system operation control section. The analyzer can automatically complete vibration uniform-mixing, incubation, plate washing, substrate charging and luminescence value reading operations according to preset procedures, can process a large number of samples once, has several incubation positions, can be combined with a matching sample charging machine to form a complete fully-automatic plate type chemiluminescence immunoassay instrument, and has a very high work efficiency.

The invention discloses an image annotation method and system based on a weak matching probability canonical correlation model, relating to the technical field of processing of network cross-media information. The image annotation method comprises the following steps: obtaining an annotated image and a non-annotated image in an image database, respectively extracting image features and textual features of the annotated image and the non-annotated image, and generating a matched sample set and an unmatched sample set, wherein the matched sample set contains an annotated image feature set and an annotated textual feature set; and the unmatched sample set contains a non-annotated image feature set and a non-annotated textual feature set; training the weak matching probability canonical correlation model according to the matched sample set and the unmatched sample set; and annotating an image to be annotated through the weak matching probability canonical correlation model. According to the invention, correlation between a visual modality and a textual modality is learned by using the annotated image, keywords of the annotated image and the non-annotated image simultaneously; and an unknown image can be accurately annotated.

The invention relates to a method and system for identifying a modulation format based on optical signals in the field of optical fiber communication. The method includes the steps that a TDC exerts certain dispersion values on input optical signals to be identified and then outputs the optical signals, after passing through an optical amplifier, the optical signals are injected into a non-linear power transfer function NPTF generating module, and a optical power meter measures signal average power of the output end of the non-linear power transfer function NPTF generating module; a control and digital signal processing module drives the TDC to generate a series of dispersion values and records each dispersion value and the signal average power, corresponding to each dispersion value, of the output end of the NPTF generating module, and the dispersion values and corresponding signal average power are stored as a dispersion-signal average power measured value array. Matching is carried out among various dispersion-signal average power samples with known modulation format signals and the dispersion-signal average power measured value array, and the modulation format of the best matched sample is discriminated as the modulation format of the input signals. The method and system for identifying the optical signal modulation format does not need any prior information at work, is suitable for signals with various modulation formats and speed and has the advantages of being simple in structure and high in cost performance.

The invention discloses a lip language recognition identity verification method and device. The method comprises the steps that structural light is projected to the face of a user on whom lip language recognition is performed, and a plurality of structural light images obtained after current user face modulation are photographed according to a preset collection period; phase information corresponding to the lip portion position pixel in the multiple structural light images is demodulated, and a plurality of three-dimensional lip images are obtained; corresponding lip-shaped feature information and lip shape difference information of the multiple three-dimensional lip images according to time sequence changes are extracted from the multiple three-dimensional lip images; lip shape feature information and lip shape difference information are matched by applying preset lip language model base sample feature information, and lip language information corresponding to the successfully-matched sample feature information is obtained; the lip language information and the preset verification information are compared; if the comparison result is that the lip language information and the preset verification information are the same, the user identity is verified, and the corresponding operation is legally authorized. Accordingly, the identity verification modes are enriched, and the identity verification accuracy is improved.

A multiplexed concentration interface that can connect with a plurality of microchannels, conventional 96 well plates or other microarrays is disclosed. The interface can be used in biosensing platforms and can be designed to detect single or multiple targets such as DNA/RNA, proteins and carbohydrates/oligosaccharides. The multiplexed concentration device will provide a set of volume-matched sample preparation and detection strategies directly applicable by ordinary researchers. Furthermore, a multiplexed microfluidic concentrator without buffer channels is disclosed.

The invention discloses a piano intelligent teaching method and a piano intelligent teaching device, so as to solve the problems of single function and great limitation of the existing piano intelligent teaching. The piano intelligent teaching method comprises the steps of: acquiring a performance music score performed by a user and a music file output from a piano when the user performs on the piano; processing staff lines and notes of the performance music score performed by the user, converting a format of the performance music score into a preset digital music format, and regarding the performance music score converted into the preset digital music format as a standard matched sample; and converting the music file output from the piano into a preset digital music format, subjecting the digital music format and the standard matched sample to comparison processing to obtain a performance analysis result, and outputting the performance analysis result. Therefore, intelligent performance evaluation is carried out on the music file of the user performance, and the highly personified piano teaching function is achieved comprehensively and accurately.