659results about How to "Improve search accuracy" patented technology

The present invention is directed to systems and methods for encoding and retrieving information from a variety of sources using novel search techniques. The systems and methods of the invention are capable of extracting all types of structural and relational information from a query or a source data allowing for the recognition of subtle differences in meaning. The capability of discerning subtle differences in meaning that are beyond the search systems and methods presently available, the invention described herein is capable of repeatedly providing accurate and meaningful responses to a diverse set of queries. Particular embodiments of the present invention include walkie-talkie-type telephone interfaces where the user may speak directly to the present invention and receive a spoken response relevant to any provided enquiry.

The present invention is directed to systems and methods for encoding and retrieving information from a variety of sources using novel search techniques. The systems and methods of the invention are capable of extracting all types of structural and relational information from a query or a source data allowing for the recognition of subtle differences in meaning. The capability of discerning subtle differences in meaning that are beyond the search systems and methods presently available, the invention described herein is capable of repeatedly providing accurate and meaningful responses to a diverse set of queries.

The present invention is directed to systems and methods for encoding and retrieving information from a variety of sources using novel search techniques. The systems and methods of the invention are capable of extracting all types of structural and relational information from a query or a source data allowing for the recognition of subtle differences in meaning. The capability of discerning subtle differences in meaning that are beyond the search systems and methods presently available, the invention described herein is capable of repeatedly providing accurate and meaningful responses to a diverse set of queries.

The present invention is directed to systems and methods for isolating sentence boundaries between sentences in text. Sentences of the normalized document feeds or source text are separated by determining boundaries between individual sentences, by a Bayesian algorithm, that has been seeded with rule frequencies, developed from a previous training phase, that employed a text of sentences with marked boundaries between the sentences.

A search system can include a server, a token assignment unit for assigning types of tokens based on different kinds of character string analysis methods, an index generating unit for generating an index list that associates the tokens assigned with the token assignment unit, a type identification value for identifying a type of the character string analysis, and information, a search unit that receives a search word for referencing the information to combine types of search tokens generated from the search word to generate a single search command for parallel inquiry of the information to search for the information, and a search result generating unit for displaying information extracted in relation to the search word through parallel inquiry with the search unit and search tokens so as to identify the tokens.

The invention discloses a keyword based evaluation expert intelligent search and recommendation method. The keyword based evaluation expert intelligent search and recommendation method specifically comprises step 1, segmenting an expert information main text into substring sequences, performing ICTCLAS word segmentation of Chinese academy of sciences and performing stop word filtering on the result of the word segmentation to obtain the word collection; step 2, extracting feature words of the expert information according to fields; step 3, building an expert knowledge representation model based on the fields and the weight of the feature words and establishing an expert information index database; step 4, performing automatic prompting according to a search term thesaurus when a user inputs keywords and meanwhile performing real-time update on the search term thesaurus through a search term counter; step 5, calculating the search relevance between the keywords and the expert information based on the semantic information and the like; step 6, listing relevant experts from high to low according to the matching degree. According to the keyword based evaluation expert intelligent search and recommendation method, the intelligent full-text search and recommendation of the expert information can be achieved through the keyword input and accordingly the experts which are matched with a pended science and technology project can be searched out accurately.

The invention discloses an objective tracking system and an objective tracking method in a camera-distributed map. The object tracking system comprises a monitoring operation client and a video calculating server. The monitoring operation client inputs an image of a suspected object and sets a to-be-searched range through the camera-distributed map. The video calculating server performs processing on a video and an image which are obtained through sampling. The object tracking method comprises the steps of extracting color characteristic of the image of the suspected target, detecting and tracking the target in a video scene, recording motion information of the target, and then transmitting a corresponding calculating result to the monitoring operation client; on the map in which camera nodes are marked by the monitoring operation client, acquiring the path track of the suspected object on the map according to the camera nodes where the suspected object appears, and simultaneously collecting information such as advancing speed and state of the target, thereby facilitating analysis by safety monitoring personnel. The objective tracking system and the objective tracking method have advantages of greatly reducing work difficulty in observing a screen for searching, making personnel concentrate on effective video segments, and realizing relatively high application value at a scientific police improvement aspect.

The invention discloses a searching method and searching equipment. The searching method comprises the following steps: receiving a search keyword input by a user, acquiring at least one search document relating to the search keyword based on the search keyword, and determining the semantic vector of the search keyword; according to the semantic vector of the search keyword and the semantic vector of each search document, calculating the semantic correlation between each search document and the search keyword; according to the semantic correlation, sequencing the search documents and outputting the search documents to the user according to the sequencing result. The semantic vector of the document of a search engine is acquired according to the semantic vector of a document tile, the semantic vector of a document identifier and the semantic vector of a document category, so that the semantic information of the document can be expressed accurately, the precision of the semantic correlation between the document acquired by calculation and the search keyword is improved, the search precision of the search engine is improved, and the user experience on the search engine is improved.

The present invention is directed to systems and methods for encoding and retrieving information from a variety of sources using novel search techniques. The systems and methods of the invention are capable of extracting all types of structural and relational information from a query or a source data allowing for the recognition of subtle differences in meaning. The capability of discerning subtle differences in meaning that are beyond the search systems and methods presently available, the invention described herein is capable of repeatedly providing accurate and meaningful responses to a diverse set of queries.

The invention discloses a cloud environment task scheduling method based on an improved ant colony algorithm. On the basis of the conventional ant colony algorithm, a rest-life-pheromone (RLP) concept is introduced; by comparing the RLPs of ant brothers in the searching process, repeated search can be effectively eliminated, and searching accuracy is improved; and by adoption of a method for computing the quantity of the ant brothers, the quantity of ants can be dynamically changed under the specific conditions of loads and tasks of cloud environment, so a system is not overloaded, and the searching accuracy is ensured. Compared with the prior art, the cloud environment task scheduling method based on the improved ant colony algorithm has the advantages that requirements of a user on task execution time can be met to the greatest extent, and the allocation efficiency and execution efficiency of the tasks are improved.

The invention belongs to the field of unmanned ship global path planning and particularly relates to an unmanned ship global path multi-target planning method based on the improved ant colony algorithm. The method comprises steps of establishing a marine environment map model by utilizing a Maklink graph theory; improving a path heuristic information strategy to obtain a path average value; designing an ant pheromone volatilization adaptive adjustment strategy; designing a strategy combining local pheromone updating and global pheromone updating; improving the state transition probability of anext node searched by an ant colony through a heading angle deviation factor of an unmanned ship; and designing an evaluation function by integrating the requirements of the shortest global path length, the least optimization iteration times of the improved ant colony algorithm, the lowest path smoothing coefficient and the like. The method is advantaged in that multiple targets such as a globalpath distance of marine navigation of an unmanned surface vehicle, the iteration frequency of optimizing the global path by improving the ant colony algorithm and the smoothness coefficient of the planned global path are comprehensively considered, the optimal global path of marine navigation of the unmanned surface vehicle is finally planned, and the method has relatively high safety.

Demographic information can be manually input into fields of a user interface. The demographic information can be for a patient of an eye care provider. One or more likely eye care insurers of the patient can be automatically determined from the demographic information. The eye care insurers that are accepted and that the patient is covered under can be unknown initially. A set of insurer maintained data stores corresponding to the set of one or more likely eye care insurers of the patient can be automatically determined. The set of insurer maintained data stores can be automatically searched for insurance information specific to individuals matching the demographic information. Results of the searching can be provided via the user interface, which identifies at least one eye care insurer of the patient and which provides an insurance number specific to an insurance policy of the patient.

The invention discloses a multi-feature fusion human face image searching method. The method comprises the following steps of: acquiring an image and text information surrounding the image from the Internet, storing the image and the text information respectively into an original image library and a text library; filtering non-human face images and irregular human face images from the original image library, saving regular human face images and storing the human face images into an human face image library; extracting the bottom layer features of the human face images in the human face image library; reducing the dimensions of the bottom layer features and storing the bottom layer features into a feature library; establishing feature indexes for the bottom layer features and storing the feature indexes into a feature index file; establishing text indexes for the text information in the text library and storing the text indexes into a text index file; receiving a text and an image which are submitted by a user; and indexing the text from the text index file, searching the image from the feature index file according to the searching result of the text, and feeding back the searching result of the image to the user. The method has the characteristics of high searching precision, high reliability and high efficiency.

The present invention discloses a cross-scene pedestrian searching method based on depth learning. The method comprises a step of carrying out preprocessing on each image in a sample library, a step of constructing and training a convolutional neural network, a step of extracting an upper half body local feature vector set and a lower half body local feature vector set from two groups of preprocessed image sets, and then the two local feature vector sets are fused to obtain a global feature vector, a step of carrying out preprocessing on an image to be searched, extracting an upper half body local feature vector and a lower half body local feature vector and fusing the two vectors to obtain a global feature vector, a step of orderly comparing the global feature vector corresponding to the image to be searched and the global feature vectors corresponding to the sample library images through a cosine similarity, outputting a group of similarity values, and sorting the similarity values according to a sorting algorithm. The method has the advantages that with the pedestrian images obtained in a monitoring video as the sample library, the design of features is not needed, the robustness is high, and the accuracy rate of actual searching is high.

The invention discloses a block-matching motion estimation method for the coding of H.264, which comprises the following steps: motion vectors of four macroblocks which are adjacent to the current macroblock and comprise a left macroblock, a right macroblock, an upper left macroblock and an upper right macroblock in a video image are obtained; according to the motion vectors obtained, a searching center is determined; a searching scope is adjusted according to the average value of the motion vectors; and motion searching is carried out in the searching scope, and the minimum absolute error SAD rule is utilized to carry out matching and stop judgment ahead of schedule. The motion estimation method utilizes the strong associativity between the current macroblock of the image and the motion vectors of the adjacent macroblocks and can greatly improve searching accuracy, lower calculation complexity and increase calculation speed on the premise of basically no signal to noise ratio loss.

Disclosed is an object search apparatus, including: an imaging unit to acquire image data of a point group; a radiation unit to scan the imaging area; a three-dimensional analysis unit to calculate three-dimensional data indicating position coordinates of the point group, from the image data; a master data storage unit to store a master data which is each of the three-dimensional data of a search object to be searched in the imaging area in a plurality of directions; and a judgment unit to position one point of the master data in each direction to each point of the three-dimensional data, to judge whether position coordinates of points of the positioned master data in any direction approach to position coordinates of corresponding points of the three-dimensional data of the imaging area, and to perform a search of the search object based on a result of the judgment.

The invention belongs to the technical field of three-dimensionalpath planning for underwater vehicles, particularly relates to animproved fireflyalgorithm based AUV (autonomous underwater vehicle) three-dimensional track planning method and provides an improved fireflyalgorithm based AUV three-dimensional path planning method. The method comprises the steps as follows: performing modeling and fireflypopulation initialization on the three-dimensionalpath planning for the underwater vehicles; calculating objective function values; calculating self-adaptive parameters; comparing thebrightness among fireflies, and updating positions of the fireflies; adding auxiliary planning operators; outputting optimal pathswhen meeting algorithmiteration stop conditions, ending the three-dimensionalpath planning for the underwater vehicles, and outputting an optimal path of the last iteration. Themethodis more flexiblethan a traditional path search algorithm, the auxiliary planning operators are added, and quick planning of AUV three-dimensional paths can be realized.

The invention provides an index building method, a searching method and a searching result sorting method and a corresponding device, wherein the index building method comprises the following steps of: performing word segmentation and part-of-speech tagging on a page; based on semantic analysis or at least one of visual features in the page, determining an entity word and the corresponding attributive word of the entity word in each word obtained after word segmentation, and respectively tagging the entity word or the attributive word; and when building the index of the page, simultaneously adding the entity words or the attributive words of the words used for index building into the index. While searching the query, matching the entity word or attributive word tags of the words, or when sorting the search results of the query, improving a sorting weight of the page corresponding to the index matched with each word in the query and the entity word or attributive word tag of each word. By the methods and the device provided by the invention, the searching accuracy can be improved, and the searching effect is perfected.

The invention provides a self-adapting parallax estimation-based virtual viewpoint drawing method, which is used for carrying out parallax estimation on two images simultaneously shot by a horizontal camera set and obtaining a virtual view at a random position among input viewpoints through interpolation and inverse mapping according to solved parallax views. The method comprises the steps of: firstly, respectively taking a left image and a right image as target images, carrying out self-adapting parallax estimation on a searching window so as to solve two parallax views which take the left image and the right image as the target images and adjusting a size of the window according to texture similarity of the two views; and then, carrying out virtual view drawing on appointed viewpoints according to solved parallax to obtain a final result. In the parallax estimation process of the block matching parallax estimation-based middle view synthesizing method, only horizontal searching is carried out, the amount of calculation is greatly reduced; and a method for self-adapting the searching window is provided, thus the accuracy for the parallax estimation is enhanced. The block matching parallax estimation-based middle view synthesizing method provided by the invention can obtain an excellent synthesizing result under the condition that the camera set is horizontally arranged and the distance from a foreground of a view to cameras is farther.

The embodiment of the invention discloses a voice search method, a set top box, a storage medium, a server and a system. The method is applied to searching video resources, and comprises the steps of converting received voice information into text information; resolving a keyword from the text information according to a preset resolving rule; determining a search word corresponding to the keyword according to the keyword and a preset corresponding rule; and submitting the search word to a search server, thus allowing the search server to search a preset video resource library according to the search word and a preset search rule. In the technical scheme of the method provided by the embodiment of the invention, the keyword is resolved from the voice information has been converted into the text information according to the preset resolving rule, the search word corresponding to the keyword is determined according to the preset corresponding rule and submitted to the search server to search the video resources, so that improvement on a voice recognition rate and search accuracy can be achieved, operation is simple, practicability is strong, and user experience on voice search is enhanced.

A path search circuit simultaneously performs antenna directivity control and a path search. A weighting controller controls weighting coefficients to establish an antenna directivity in a plurality of directions in which a party to communicate with is possibly present, when a communication session starts. A weighted-mean-value processor calculates delay profiles for the respective antenna directivities. A correlation peak detector detects a peak from the calculated delay profiles for thereby carrying out general antenna directivity control and a path search. At the time of starting the communication session when the direction of a mobile terminal is unknown, a path search can be conducted using a signal with a Eb/Io increased by an antenna gain for increased path search accuracy.