162results about How to "Narrow your search" patented technology

The invention discloses a high-resolution remote sensing image search method fused with spatial relation semantics and the method comprises two parts, namely the off-line treatment of remote sensing image and the on-line search of the remote sensing image. In the off-line treatment part, the visual features of the remote sensing image is firstly extracted and the visual feature, spatial object semantic and spatial relation semantic features are stored in relational database. In the on-line search part, the searching is performed according to the object semantic feature of the image to obtain a rough search result; then a template image is selected from the rough search result, further searching is performed to the rough search result according to the visual feature of the template image and the spatial relation semantic feature to return to the visual feature and the spatial semantic feature and assemble with the similar images of the selected template image, and the searching process is completed. As the method comprehensively uses the visual feature of image and the spatial object semantic and spatial relation semantic features, higher search precision can be obtained.

The invention provides an image matching type indoor positioning method with the assistance of a crowd sensing WiFi signal fingerprint. According to the method, preliminary positioning is realized by means of WiFi; and according to a preliminary positioning result, auxiliary image positioning is carried out. Therefore, image positioning complexity is reduced; and the real-time performance of the indoor positioning result is improved.

The invention discloses a fuzzy clustering based image retrieval method. The fuzzy clustering based image retrieval method comprises the following steps of S11, establishing a characteristic value library for images in an image library and numbering the images ; S12, selecting N images with image separation distances larger than a distance threshold value A1 from the image library and conducting first-time classification on the residual images to form N categories of image sets; S13, conducting the step S12 on the image sets with image quantities larger than a quantity threshold value in the N categories of image sets till the image quantity of each image set is smaller than the quantity threshold value and obtaining M representative points; S14, partitioning all images in the image library into the image sets represented by highest-similarity-level representative points according to similarity levels between the images and the M representative points; S15, conducting characteristic valuing on input images to be retrieved, respectively calculating the similarity levels between the input images and all representative points and selecting a plurality of highest-similarity-level representative points to perform retrieval. The fuzzy clustering based image retrieval method narrows a retrieval range on the basis that retrieval efficiency is ensured, and reduces retrieval working amount.

The invention relates to an image retrieval method and apparatus. The method comprises the steps of: obtaining a to-be-retrieved image from a user terminal; converting the to-be-retrieved image to HSV space from RGB space; quantizing the converted to-be-retrieved image into N-dimensional color features; sorting the feature values of the N-dimensional color features in a descending order, and selecting the first M-dimensional color features as main color of the to-be-retrieved image; determining a cluster index table name of the to-be-retrieved image according to an index value corresponding to the main color; querying whether a cluster index table with the same name as the cluster index table of the to-be-retrieved image exists in the established cluster index table according to a name of the cluster index table; if existence, obtaining an image index of the corresponding image; querying main color percentage of the corresponding image according to the obtained image index; calculating the image similarity according to the main color percentage; and returning an image matched with the to-be-retrieved image to the user terminal according to the similarity. The image retrieval method and apparatus disclosed by the invention remarkably improve the image retrieval efficiency and accuracy.

The invention proposes a color video matting method based on depth foreground tracking, which relates to the field of digital image processing. The method comprises: before the starting of the matting, defining a clear search area by a user at a designated foreground area of a depth image; then in the search box, using the depth information difference of the foreground, segmenting the foreground targets; reconstructing the depth image to the resolution of the color image and performing the registration so that the pixels of the two gradually correspond to each other and generating a three-part map; according to the color information of the color image, making the refined adjustment to the three-part map; based on the three-part map and the color image, using the super-pixel gradient for fast foreground extraction; and finally according to the extracted foreground position, establishing and updating the motion equation; predicting the foreground center of the next frame; and updating the search box position. With the above steps, the video matting can be completed frame by frame. Compared with the current video matting algorithm, the invention greatly simplifies the operation, has low complexity of the algorithm, and realizes the real-time and accurate video foreground matting.

The embodiment of the invention discloses a method, a device and an electric apparatus for obtaining object position information. The method includes the steps of: in a transmission period, receiving signals transmitted by an antenna array in the object in turn, and calculating various received signal strength indications, wherein the transmitted signals include antenna array information; selecting a first antenna mapped by the received signal strength indication satisfying a pre-set first selection strategy, and extracting a second antenna and a third antenna adjacent to the first antenna; selecting the received signal strength indication satisfying a pre-set second selection strategy from the obtained received signal strength indications mapped by the second antenna and the third antenna, and obtaining an auxiliary positioning antenna; and obtaining the position information of the object relative to the electric apparatus which receives signals according to the first antenna, the auxiliary positioning antenna and the antenna array information. The positioning precision of the object can be improved by applying the method, the device and the electric apparatus for obtaining the object position information.

The invention discloses a mobile terminal, and a method and a device for seeking the mobile terminal, and belongs to the technical field of communication. The method for seeking the mobile terminal includes flow paths: sending an appointed communication signal trigger instruction to the mobile terminal through the device for seeking the mobile terminal so as to enable the mobile terminal to start at lease one type of communication signal; seeking the communication signal started by the mobile terminal; when the communication signal of the mobile terminal is sought, judging whether the communication signal is a unique communication signal sent by the mobile terminal; if the communication signal is the unique communication signal, using the communication signal to build communication connection between the device for seeking the mobile terminal and the mobile terminal, and if the communication signal is not the unique communication signal, building communication connection between the device for seeking the mobile terminal and the mobile terminal by selecting a communication signal shortest in effective distance; sending an indication signal to a user, and guiding the user to move towards the mobile terminal. By using the mobile terminal, and the method and the device for seeking the mobile terminal, the device for seeking the mobile terminal can switch between all the communication signals according to the distance between the device for seeking the mobile terminal and the mobile terminal, and the mobile terminal can be sought out whether the distance between the mobile terminal and the user is long or short.

The invention discloses a children intelligent conversation learning method and system and electronic equipment. The method comprises the following steps of: guiding a user through a preset guiding voice to adjust an intelligent learning machine, so as to ensure that a camera on the intelligent learning machine is oriented to a to-be-learnt target object; obtaining an image through the camera, analyzing the image and judging whether the image accords with a target object image requirement; if the judging result is negative, continuously guiding the user through the guiding voice to adjust theintelligent learning machine; if the judging result is positive, recognizing a target object image so as to obtain a target object type; obtaining a corpus corresponding to the target object accordingto the target object type; playing a multimedia file, corresponding to the target object, in the corpus and carrying out interactive conversation learning with the user on the basis of the corpus. According to the children intelligent conversation learning method and system and the electronic equipment, interest points and attentions of children users can be correctly grasped, the correctness ofrecognizing voice conversations with the children users is improved, the interaction and communication with the children users can be strengthened and the conversation learning quality is improved.

The invention discloses a user landing method and system of network game, which comprises the following steps: a, sending landing request information; b, according request information to index user information in preset buffer modular, if the user information is indexed, entering step d; d, if the user information doesn't be indexed, entering step c; c, indexing user information by landing server in data bank, if the user information is indexed, entering stepd, if the user information isn't indexed, feedbacking the prompting information to game server; d, identifying the indexed user information, if the identification is passed, feedbacking identification passing information; landing to enter game; if the identification is not passed, feedbacking present information to game server. The system is composed of user client side, game server, buffer server and landing server. The buffer server is composed of information buffer modular, buffer decision modular, network decision modular, user request modular and internal memory control modular.

The invention discloses a method for tracing a target object in a panoramic video automatically, which comprises the following steps: (1) acquiring the position of a target object in the panoramic video; (2) detecting if plane crossing appears in the motion of the target object in the cubic panorama, and performing a step (3) if plane crossing appears in the motion of the target object in the cubic panorama or performing a step (4) if plane crossing does not appear in the motion of the target object in the cubic panorama; (3) expanding an image on the original plane of the target object; (4) searching and matching along an epipolar line to obtain the motion vector of the target object; and (5) making a judgment according to the result of the step (4), if a matched target is found, ending the tracing or performing the step (2). The method can be used for tracing the target object in the panoramic video automatically and can narrow search range in a tracing process and ensure the quickness and stability of the tracing of the target object.

The invention relates to a method for big data retrieval based on time characteristics and supporting complicated conditions. According to timestamps generated during data storage or according to user defined time characteristics, data information is segmented according to the time characteristics, indexes are established on different collections on a full-text retrieval engine Solr; on the conditions that users already know the time of queried information generation, quick positioning can be performed on an index database of a collection of the same month to perform retrieval, the retrieval range can be greatly reduced, and the efficiency is improved. On the conditions that users cannot determine information generation time, results conforming to user query are provided for users for reference and selection. According to the method, not only is the shortcoming that a distributed database HBase has no secondary index overcome, but also the index establishment is more flexible, the retrieval on different demand conditions is met, and the retrieval efficiency can be guaranteed.

The invention discloses a data storage method and apparatus for traffic pass video monitoring. The method comprises: after a video image, collected by a monitoring device, of a monitoring area is received, monitoring data of a plurality of target objects occurring in the video image are extracted, wherein the monitoring data include feature data of each target object and an information item of each target object; according to the information item of each target object, the feature data of the plurality of target objects are classified, the feature data of the target objects that have the same pass point location information and have shooting time belonging to a same preset time interval are classified into one class and then are packaged, and a plurality of data files are generated; and each data file is stored to a corresponding storage position according to a preset storage path. Therefore, a technical problem that the query efficiency is low when all data need to be traversed during stored data retrieving because of usage of a storage way of the feature data arranged based on time in the prior art can be solved.

Provided is a target tracking method based on a LabVIEW. When a target is not shielded, area template matching is adopted in target tracking, and learning and matching of a template are achieved through a machine vision module in a vision and movement function library arranged in the LabVIEW; when the target is shielded, a certain or some invariance characteristics of the target are extracted, characteristic template matching is carried out, tracking is completed, a search algorithm is brought in the tracking process to carry out estimation hypothesis on the position state of the target at the next moment, accordingly, tracking can be achieved in real time quickly and accurately, the shielded target can be tracked accurately and stably, it is guaranteed that the target cannot be lost in the tracking process, the tracking speed is accelerated, and real-time performance and robustness of tracking are improved.

The application discloses an image retrieval method, system and device. The method includes: carrying out classification judgment on a to-be-retrieved image through an overall retrieval model; selecting a corresponding local retrieval model for the to-be-retrieved image according to a classification judgment result of the overall model; carrying out feature analysis on the to-be-retrieved image bythe corresponding local retrieval model, and carrying out hash code mapping to obtain a hash code of the to-be-retrieved image; at the same time, retrieving hash codes, which are similar to the hashcode of the to-be-retrieved image, in a target hash code library corresponding to the local retrieval model; and finally, selecting a similar hash code set, which satisfies a similar condition, therefrom, and finding a similar image set, which corresponds to the similar hash code set, in an image database to complete retrieval. According to the method, the overall retrieval model of classificationjudgment is pre-established, then the overall retrieval model is utilized to generate the local retrieval model, retrieval accuracy for the image is improved, the target hash code library corresponding to the local retrieval model is established, and the retrieval accuracy is further improved.

The invention relates to a map data storage method, a map data road retrieval method and a vehicle system. The map data storage method comprises the following steps: establishing and storing a cross road set, wherein the cross road set comprises main roads and crossroads formed by the main roads; and establishing and storing a crossroad set, wherein the cross crossing set comprises the crossroads and roads formed by the crossroads. The above technical scheme is convenient for query, and the queried crossroad set includes all the roads formed by the crossroads, so demands of a user are satisfied.

The invention discloses an information processing method and device. The method comprises following steps: displaying an information list interface on a screen of a terminal, wherein a category display button is arranged on the information list interface; obtaining a category display instruction generated by pressing of the category display button; responding to a category display instruction and displaying multiple category labels on the screen; and displaying first memo information belonging to a first label on the screen when the first label of the multiple categories of labels is selected. The information processing method and device have following beneficial effects: the technical problem that existing label lists are in a mess and numerous and inconveniently searched by a user is solved.

The invention provides a directory service data retrieval method, which is applied to a directory server with an embedded database having a data structure which is a balanced binary tree. The method includes: obtaining directory service data, packaging the directory service data into data nodes including directory service data key values, inserting the data nodes into the balanced binary tree structure of the embedded database and storing the data nodes as tree nodes of the balanced binary tree; adjusting the balanced binary tree structure of the embedded database to be balanced; and when a user needs to retrieve the directory service data, receiving a directory service data query request which is sent by the user and includes key matching values of the directory service data to be queried, finding the data nodes corresponding to the key matching values in the balanced binary tree structure of the embedded database of the directory server according to the key matching values, and obtaining the directory service data in the data nodes.

The invention relates to a double-frequency GPS signal capturing method based on segmented and split-radix Fourier transform. The method comprises the first step of capturing an L1 signal, the second step of obtaining auxiliary information for capturing an L2C signal according to the carrier doppler frequency shift of the obtained L1 signal and the initial phase position of a C/A code, and the third step of carrying out segmentation on the L2C signal and adopting the split-radix Fourier transform to capture the double-frequency GPS signal on the basis of segments. The computing amount and the storing space are reduced to a very large extent during the capturing process, the computing speed is improved, and a theoretical foundation is laid for achieving an L1/L2C double-frequency GPS signal receiver on an embedded type system.

The invention discloses a computer data induction, arrangement and classified storage method. The method specifically comprises the following steps that firstly, people can operate a computer to opena user to operate a client; the user logs in the data input module and operates the user information login module in the client to input the account information of the user into the system for authority authentication, after authentication is successful, people can input the data to be stored into the pre-storage address in the computer through the data input module, and the computer data processing method and system relate to the technical field of computer data processing. According to the invention, a large amount of time does not need to be spent on retrieving and searching the whole stored file, the time of people is greatly saved, the input data is orderly stored in a single storage module in a classified mode, and the purposes of reducing the retrieval range of the needed file, reducing the processing burden of a processor and shortening all the time of retrieving and searching are well achieved.

The invention discloses a cross-domain vision search method based on significance detection. The method comprises the following steps: firstly, utilizing each super-pixel zone boundary connecting value to endow all the zones with different significance values, thereby acquiring a main object zone; performing multi-scale treatment on a target image in a database; extracting the feature of the main object zone, thereby acquiring a target image feature template; performing feature extraction on the main object zone of an inquired image and training a linear classifier; performing iteration training on a large quantity of negative samples, thereby acquiring an optimized inquired image feature template; finally, while searching, returning a zone with the highest response score as a final searching result according to the matching degree of each target image feature template and the inquired image feature template. According to the invention, the significance detection for the main zone is performed, so that the influence of a background zone on the searching result is reduced, the searching precision and efficiency can be effectively increased in the cross-domain vision search and the robustness is excellent.

The invention provides a retrieval image acquisition method, and the method comprises the steps: determining cluster center similarity between each index image and a query image, determining candidateindex images according to the cluster center similarity, and further determining retrieval images of the query image from the candidate index images based on the image similarity. It is understandable that the cluster center similarity is the number of the same similar cluster centers of the retrieval image and the query image; compared with the similarity calculation of the feature vectors, thecalculation process of the number consumes less calculation force, and the calculation process of the cluster centers and the similar cluster centers saves less calculation force than the similarity calculation of the feature vectors, so the candidate index images are obtained by using less calculation force. Compared with the prior art, on the one hand, for all index images, the retrieval range is reduced; on the other hand, the image similarity does not need to be calculated for each index image and each query image, so the image retrieval efficiency is greatly improved.

The invention discloses a method and device for determining the answers of the question data, which relates to the field of computers, and is used for accurately determining the answers of the question data. The method comprises the steps of obtaining the first question data inputted by a user, wherein the first question data comprises at least one word; determining a word relationship between the words in the at least one word; determining a service type corresponding to the first problem data according to the at least one word, the word relationship and the intention map, wherein the intention map at least comprises a service type associated with the at least one word; and determining the answer of the first question data from at least one preset answer according to the service type corresponding to the first question data.

The invention provides a method and a system for acquiring the age of a male individual in a Chinese population. The method comprises the following steps: extracting DNA of the male individual; acquiring the methylation rates of 9 CpG sites of the DNA; and according to the methylation rates of the respective CpG loci, performing regression analysis on the 9 CpG loci and the age by R software to construct a regression model so as to acquire the age of the male individual in the Chinese population. According to a scheme provided by the invention, the age of the male individual in the Chinese population can be accurately acquired, and the age of the individual can be inferred from biodetection materials, such as blood or a blood mark sample, which are left on a crime scene in an actual publicsecurity combat, so that quick locking of a criminal suspect scope is facilitated, a clue is provided for case detection and the speed of the case detection is increased.