174results about How to "Reduce the number of matches" patented technology

The invention discloses a method and a device for speculating routes, relating to the technical field of intelligent traffic systems. The embodiment of the invention provides a route speculating method which comprises the following steps: establishing a relevant road network data structure and a relevant road network topology structure according to road information date of urban navigation electronic maps, wherein the road network data structure comprises nodes, road chains and mutual construction relations, and the road topology structure comprises communication relations among the road chains and all routes that each road chain can reach within a set time; receiving GPS positioning data of a floating car, wherein the GPS positioning data comprise time information, position information of a GPS positioned vehicle, vehicle running direction and vehicle running speed; carrying out map matching according to the position information of the GPS positioned vehicle to acquire alternative road chains of the GPS positioning data of the floating car; and acquiring a running route of the floating car according to the alternative road chains and the time information.

The invention relates to a rapid advertisement identification method which can rapidly detect whether TV or broadcast programs have the advertisements in a data base and is based on layered distribution. The invention is characterized in that the method comprises the following steps: construct an off-line data base and detect on-line, wherein the construction of the off-line data base is composed of an off-line preprocessing and a hash table construction; the on-line processing part is composed of the three parts which are an on-line preprocessing, a two-grade match from roughness to fineness and a post-processing.

The invention proposes an efficient duplicate removal method for repeated redundant data in a cloud storage system. The method comprises the following steps: multiple clients receive data uploaded by a user, take a data superblock as a data route unit, and extract route feature fingerprints for data route selection from the data; a metadata server and a data server cluster handle data route selection requests of the clients according to a route policy, wherein the data server cluster performs similar fingerprint matching on the route feature fingerprints to determine similar route nodes, and the metadata server determines a final data route address according to a load balancing policy; and the clients interact with corresponding data servers, and the data servers receiving similar redundant data perform efficient and quick duplicate removal on the redundant data. According to the method, the cloud storage system can achieve an efficient repeated redundant data removal effect while keeping high-performance, large-scale and high-throughput system properties, the disk utilization rate is increased, and the data management cost is reduced.

The invention provides an individual recognition method and device and a program. The method comprises the steps that candidates, with matching degrees higher than a first critical threshold in regard to a first biological feature, in a database are determined as a candidate set; the candidate, with the matching degree higher than a first threshold in regard to the first biological feature, in the candidate set is determined as an individual, and recognition is exited; when all the matching degrees, in regard to the first biological feature, of the candidates in the candidate set are not higher than the first threshold, the candidate cannot be judged in the first judgment part, the candidate, with the matching degree higher than a second critical threshold in regard to a second biological feature, in the candidate set is determined as the individual, and recognition is exited; and when the candidate set is empty, the candidate, with the matching degree higher than a second threshold in regard to the second biological feature, in the database is determined as the individual, and recognition is exited, wherein the first threshold is higher than the first critical threshold, and the second threshold is higher than the second critical threshold. Through the method, a high passing rate and high precision of face recognition and anti-fake capability of palm recognition are achieved at the same time, matching time is shortened while accuracy is ensured, and recognition efficiency is improved.

The invention relates to a voice keyword retrieval method based on an audio template. The method comprises the following steps: to begin with, converting a voice sample template and voice to be retrieved into a probability distribution sequence; then, carrying out matching on the voice sample template and the voice to be retrieved through dynamic time warping to obtain keyword starting and ending time point in the voice to be retrieved and acoustic confidence measure scores of each appearance position; and finally, carrying out warping on the scores obtained by different voice sample templates, and carrying out ranking to obtain a retrieval result. In the retrieval process, information of a specific language is not required at all, thereby maximizing universality and transportability; and meanwhile, operation amount in the retrieval process is reduced, and keyword retrieval speed is accelerated.

Embodiments of the invention disclose a fingerprint unlocking method and a mobile terminal. The fingerprint unlocking method can comprise the steps of obtaining a fingerprint image input by a user; determining a target fingerprint group corresponding to the fingerprint image, wherein the target fingerprint group comprises a plurality of fingerprint templates; performing matching on the fingerprint templates and the fingerprint image in sequence according to a preset sequence; and when any fingerprint template in the fingerprint templates is successfully matched with the fingerprint image, unlocking the mobile terminal. With the adoption of the embodiments of the method and the mobile terminal, the target fingerprint group is firstly determined before fingerprint matching, so that the matching range can be reduced; and the matching is performed according to the preset sequence, so that the fingerprint matching frequency can be further reduced, the matching speed can be increased, and the fingerprint identification efficiency can be improved.

The invention discloses a gesture-based interaction two-way interactive digital TV box system and an implementation method. The system comprises a video server system, a VOD (Video-On-Demand) management system, a digital TV network, an EPG (Electronic Program Guide) system and a digital TV terminal. The EPG system provides users with a mode which is convenient to operate, is program-friendly and is quick in accessing to the program. The program information played recently by one or more channels are browsed and queried by the system. Meanwhile, the EPG provides a classification function, and helps the users browse and select various types of programs. The EPG system comprises a receiving module, a control conversion module, a storage module and a human-machine interaction operation module. The two-way interactive digital TV box has stronger product usability, and standardized layout and content. The operation process in the user selection process is simplified, so that the two-way interactive digital TV box has the advantages of good user experience.

The invention discloses a method for translating dimensions on a two-dimensional engineering drawing to a three-dimensional CAD (computer aided design) model. The method is used for solving a technical problem that a three-dimensional CAD model dimension marking method in prior art is low in efficiency. The technical scheme of the method is as follows: projecting the three-dimensional CAD model to obtain a projection view of the three-dimensional CAD model; then respectively extracting pixel information of the projection view and the two-dimensional engineering drawing, and respectively representing the projection view and the two-dimensional engineering drawing in a spatial relation drawing structure with a pixel as an apex; and finally carrying out accurate pixel matching on two spatial relation drawings. A test result shows that the method can realize accurate pixel matching and can correctly realize dimension tolerance mapping from the two-dimensional engineering drawing to the three-dimensional model. By using the method, a high-efficiency and intelligent method is provided for a condition that the three-dimensional CAD model and the two-dimensional engineering drawing which are separate in prior arts are translated into a single model with three-dimensional dimension marks.

The invention discloses a hadoop-based recognition method for a fake-licensed car. The hadoop-based recognition method for the fake-licensed car is characterized in that the input is massive process records. The method comprises the following steps: transferring valid passing car records subjected to dimension reduction into HBase of a Hadoop cluster; acquiring the passing record of a car that has the same license and appears in any two monitoring points from HBase through Hive; grouping and sequencing according to the license number and passing time; initializing a weighted graph that adopts the monitoring points as a vertex set, and the space between every two monitoring points as the edge weight value; calculating the shortest path between every two monitoring points; combining every two monitoring points and processing by block; creating a plurality of threads; concurrently submitting Hive tasks to recognize the fake-licensed car under the principle of the fake-licensed car and according to the combination of every two monitoring points subjected to block processing; acquiring the final suspectable fake-licensed car through correction factors. Compared with the non-optimization method under the traditional environment, the hadoop-based recognition method has the advantages that the running efficiency and speed-up ratio are raised, and the fake-licensed car can be effectively recognized.

The invention provides a method for detecting a vehicle in a blind area. The method comprises the following steps: step1, collecting an image containing the blind area of a rearview mirror of the vehicle; step2, selecting a region of interest of the image, in which the vehicle possibly exists, in the image by a vehicle recognition method based on characteristics; and step3, performing scanning and matching in the region of interest of the image to detect the vehicle by an Adaboost algorithm. According to the method for detecting the vehicle in the blind area disclosed by the invention, after the image containing the blind area of the rearview mirror of the vehicle is collected, firstly the region of interest of the image, in which the vehicle possibly exists, is selected in the image by the vehicle recognition method based on the characteristics and then the vehicle is detected by scanning and matching the region of interest of the image by the Adaboost algorithm. In such a way, regions except the region of interest of the image on the image of the blind area are not required to scan, match and detect so that the number of matching is greatly decreased; the calculated amount and the calculated time of a system are reduced; the real-time property of the system is improved; and finally the safety of the vehicle is improved.

The invention provides an identity verification method embodiment. The embodiment comprises following steps: in response to an operation of a user for starting a program needing identity verification, reminding the user to input a to-be-identified fingerprint; after the user input the to-be-identified fingerprint, determining a respective matching priority for each reserved fingerprint in a preset fingerprint base, wherein the high and low rank of the matching priorities expresses the preferred using sequence of the user to each reserved fingerprint; comparing each reserved fingerprint with the to-be-identified fingerprint according to the high and low rank of each matching priority, thus obtaining an identity verification result. Compared with the prior art, according to the embodiment of the invention, the comparing sequence of the reserved fingerprints is determined according to the determined matching priorities; the using conditions of the user to the fingerprints are taken into consideration; the probability of obtaining the identity verification result by using relatively little matching times is improved; namely, the identify verification efficiency is improved; the user experience is relatively better; the method and the device of the invention also provides an identity verification device embodiment for ensuring the application and the realization of the method.

The invention relates to a method for rapidly matching and retrieving cloth images. The method comprises steps of firstly extracting SIFT characteristics of images; then, carrying out K-means clustering on the SIFT characteristics of the images so as to generate vision word bags and calculate a shape characteristic histogram of each image; and finally, using the E2LSH algorithm to achieve automatic and rapid matching and retrieving of the images. Compared with the prior art, the provided method is characterized in that the same cloth and similar cloth can be quickly found and is advantaged by high matching precision and rapid retrieving speed.

The invention discloses a magnetic resonance fingerprint imaging based quick dictionary search method. The magnetic resonance fingerprint imaging based quick dictionary search method comprises the steps of S1, running an MRF scanning sequence for any given MRF scanning sequence and scanning parameters thereof by a magnetic resonance scanning device to obtain a magnetic resonance fingerprint S actually collected at each pixel position; S2, searching a physical characteristic parameter corresponding to each pixel, wherein the step of searching the physical characteristic parameter corresponding to one pixel comprises the sub-steps of matching the magnetic resonance fingerprint signal S of the pixel with the corresponding signal directory D and finding a matching item most proximal to the magnetic resonance fingerprint S of the pixel, and the most proximal matching item is the physical characteristic parameter of the pixel; and S3, integrating the physical characteristic parameters of all the pixels respectively to obtain a needed complete physical characteristic image. The magnetic resonance fingerprint imaging based quick dictionary search method can efficiently reduce the search calculation complexity, can reduce the calculation time and can improve the search efficiency.

The invention discloses an Internet television system based on the gesture man-machine interaction technology and a realization method of the Internet television system. An EPG (electronic program guide) system of the Internet television is improved, and the system comprises an Internet television program service platform, an Internet television integration platform, an Internet transmission system, an EPG system and an Internet television terminal, wherein the EPG system comprises a receiving module, a control conversion module, a storage module and a man-machine interaction operation module, and is used for providing the rich program parade information and the flexible and convenient search engine to help users realize the fast program positioning and the program information browsing and inquiry. The Internet television system and the realization method have the beneficial effects that the event binding realizing one-to-one correspondence of interaction operation instructions and interface assemblies is realized at the terminal interface of the Internet television, a WYSIWYG (what you see is what you get) application selection function is completed, the system supports the gesture intelligent operation and control mode, the unnecessary repeated interaction can be reduced in the interaction process, and the flexible and controllable interaction effect can be realized.

The invention discloses a fast fuzzy pinyin inquiry method of mass Chinese file names. The method comprises the following steps of: 1) determining whether an inquiry character string is Chinese pinyin, and if so, performing conversion and extension on the inquiry character string according to a fuzzy pinyin rule so as to form a new inquiry character string, otherwise, keeping the inquiry character string unchanged; 2) performing SetBackwardOracleMatching algorithm on the inquiry character string to build an oracle finite automaton of pattern string identification; 3) traversing a file name database and pre-filtering file names stored in the file name database; and 4) performing SBOM algorithm matching on the file names which are pre-filtered in the step 3) in the file name database, and ranking all the inquiry results satisfying the conditions and returning the inquiry results. The method has the advantages of high inquiry speed, support of fast Chinese inquiry, support of fuzzy-pinyin accurate inquiry and the like in mass files.

The invention is applicable to the field of control of an intelligent terminal, and provides a binding method and apparatus for the intelligent terminal. The method comprises the steps of after a first intelligent terminal logs in, determining whether the first intelligent terminal is bound with an MAC (Media Access Control) address; when the first intelligent terminal is not bound with the MAC address, sending an inquiry message to the first intelligent terminal, wherein the inquiry message comprises information of inquiring whether the first intelligent terminal needs to be bound with the MAC address; receiving a feedback message sent by the first intelligent terminal, wherein the feedback message comprises information that the first intelligent terminal needs to be bound with the MAC address; and storing a user account corresponding to the first intelligent terminal and a designated MAC address in a user account list so as to bind the first intelligent terminal with the designated MAC address. According to the method provided by the embodiment of the invention, the configuration operation can be reduced.

The invention discloses a face matching retrieval device and method, and relates to the fields of image processing, matching, retrieval and the like. The face matching retrieval device at least comprises an index comparison server and a secondary comparison server, wherein the index comparison server is used for comparing face features of a face image to be retrieved with face features in a pre-established index library to obtain corresponding indexes, and each index in the index library corresponds to one type of face features; and the secondary comparison server is used for retrieving the face features of the to-be-retrieved face image in all the face features stored in the corresponding areas in the pre-established face feature database according to the indexes obtained by the index comparison server, and obtaining a comparison result.

The invention provides a network device telnet weak password detection method and device. A plurality of weak password dictionaries are preset, and each weak password dictionary is configured according to different types of network devices. The method comprises the steps: performing the password matching testing of each network device with a telnet port, wherein each password matching testing operation comprises the steps: selecting a weak password dictionary corresponding to the type of the network device, and adopting the weak password login information of the selected weak password dictionary for login matching. If the login is successful, the network device has a weak password, and the weak password login information includes a weak password, or a username and a weak password. The detection method greatly improves the efficiency of detecting weak passwords of the intranet devices of an enterprise, and reduces the risk that an attacker remotely logs into the intranet of the enterprise to implement the attack.

The invention discloses an SAR (Synthetic Aperture Radar) target azimuth angle estimation method based on sparse description, which mainly solves the problem of 180-degree indistinction caused when azimuth angle estimation is carried out in the prior art. The SAR target azimuth angle estimation method based on the sparse description is realized through the following steps of: (1) inputting training samples and test samples, intercepting a subimage which contains a target from the center of each of the training samples and the test samples, and carrying out histogram equalization on the intercepted subimage; (2) as for the training samples and the test samples, which are subjected to the histogram equalization, calculating the sparse description vectors of the test samples on a dictionary formed by all the training samples; (3) calculating the reconstruction error of the training sample which corresponds to each nonzero coefficient of the obtained sparse description vectors; and (4) selecting the azimuth angle of the training sample which corresponds to the nonzero coefficient with a minimum reconstruction error as an angle estimation for output. Compared with the prior art, the SAR target azimuth angle estimation method based on the sparse description, which is disclosed by the invention, has the advantages that 180-degree indistinction problem does not exist, the angle estimation accuracy is high and SAR target azimuth angle estimation and further SAR target recognition can be conducted.

The invention relates to a method for constructing a highly shared Rete network, which belongs to the fields of artificial intelligence and expert systems. The invention mainly studies the rule reasoning technology in the expert system. On the basis of the original Rete reasoning technology, a high sharing Rete network construction algorithm based on the node sharing degree and mode sharing degree model is proposed. The invention improves the node sharing performance of the Rete network, reduces redundant nodes, optimizes the structure of the Rete network nodes, and can significantly improve the efficiency of rule reasoning.

The invention provides a method and a device for classifying POI information. The method comprises the steps as follows: extracting name information of the POI information to be classified; performing word segmentation to the name information and obtaining a plurality of segmentation fragments; matching the plurality of segmentation fragments with a classification keyword according to a preset matching sequence; determining a POI classification directed by the classification keyword corresponding to the segmentation fragment which is matched successfully at first as a belonged classification of the POI information to be classified. The method and the device of the invention could reduce the time needed for performing the word segmentation because only the name information of the POI information to be classified needs to perform the word segmentation, and then perform keyword matching to the segmentation fragments obtained by performing the word segmentation so as to correspondingly reduce the matching times while performing the keyword matching afterwards based on fewer segmentation fragments obtained by performing the word segmentation and increase the run time of POI information classifying process. Simultaneously, the classification accuracy determined based on the name information is relative high because the name information and the POI information have high correlation, thereby improving efficiency of POI information classification as a whole.

The invention provides an information detection method and device. According to the method, after the feature information of a latest image and the original feature information of an original image are obtained, the obtained feature information is matched with the original feature information to obtain a matching result; when the matching result is not in accordance with a preset condition, it is determined that an information point is changed. Namely, according to the information detection method, on the basis of the feature information of images, whether or not information points are changed is determined; compared with a recognition process of text information, the process of obtaining feature information of the original image and the latest image is simplified. Moreover, by adopting the original feature information of the original image as a standard, it is not required to train a great amount of original feature information to serve as training samples. Furthermore, as for an arbitrary information point in a map, the corresponding original feature information of the information point is known and unique, and therefore, the obtained feature information can be directly matched with the unique original feature information of the same information point to reduce matching amount, so that the detection efficiency is improved.