166results about How to "Fast retrieval" patented technology

A system and method that provides an electronic menu wirelessly interconnected with a restaurant's server is provided. The restaurant server provides the electronic menu device with the menu items and menu software used to navigate through the menu items and options. The electronic menu provides the patron with details regarding menu items including detailed descriptions, photographs and videos, and nutritional information. The patron's order is wirelessly transmitted to the restaurant server and communicated to the restaurant kitchen staff. The electronic menu device is also used to request assistance and request the status of an order that has been placed. The patron can pay using the electronic menu device by providing credit card information or the patron can request assistance and provide payment, such as cash, to the restaurant's wait staff.

The invention discloses a fast multi-label picture retrieval system and a realization method. The method comprises the following steps: deploying an RPN (Region Proposal Network) for extracting region proposals in a convolutional neural network, extracting region proposal information of pictures, and performing ROI pooling calculation on the region proposal information; after pooling, building a multi-label classification loss function through a fully connected layer according to multi-label information to train the convolutional neural network, and building a weighted three-dimensional loss function to train the convolutional neural network; extracting the hash code of each picture from a picture candidate set through the convolutional neural network after multi-task learning, saving the hash codes to a database, and comparing the hash codes with the hash codes in the database, thus completing picture retrieval. The whole network is trained through multi-task learning of classification and hashing, and therefore, the accuracy of retrieval is ensured. Moreover, the similarity is measured using Hamming distance in the process of retrieval, and the efficiency of retrieval is improved greatly.

The invention relates to a retrieval method for similar pictures, which comprises the following steps that: a receiving module is used for receiving source pictures designated by customers; a setting module is used for setting the retrieval similarity of the similar pictures, wherein the similarity comprises rough retrieval similarity; and a rough retrieval module is used for extracting rough characteristics from the source pictures and the prior pictures, compares the rough characteristics of the source pictures and the prior pictures according to the rough retrieval similarity and searches rough similar pictures. The invention provides a retrieval system for the similar pictures. The retrieval method and the retrieval system can quickly and accurately search the similar pictures.

The invention relates to a knowledge acquiring system field, in particular to a knowledge intelligent acquiring system of vegetable supply chains, aiming at designing a set of knowledge intelligent acquiring system of vegetable supply chains, realizing the effect knowledge spreading of the vegetable supply chains by means of the computer media, and particularly realizing the knowledge transfer in the field of the vegetable supply chains at home and aboard. The system takes the ontology model of the vegetable supply chains as a support and provides three retrieval modes, i.e. keyword retrieval, semantic extension retrieval and semantic retrieval based on the ontology model as a tool for acquiring the knowledge in the professional field. The system has high query efficiency and facilitates the participants of the vegetable supply chains and scientific researchers to acquire the professional knowledge.

The invention discloses a big data environment oriented metadata organization method, which comprises the following steps: a client-side receives a file creation request from a user, and sends the file creation request to an index server; and the index server, according to an absolute path of a to-be-created file in the file creation request, obtains a global ID (Identification) and a distribution code list of a parent directory of the corresponding file, obtains a key value right key according to the global ID of the parent directory and a filename of the to-be-created file, saves file index information of the to-be-created file according to the key, and obtains a distribution code which is used for storing metadata, wherein if the distribution code is newly added or more than one distribution code exists in the distribution code list of the parent directory, a bloom filter and the global ID of the file are used for updating a bitmap of the distribution codes. According to the method and the system disclosed by the invention, the technical problem that the existing method, in order to guarantee the locality of reference of the metadata, has unbalanced load in large directory metadata centralized storage can be solved.

The invention discloses a sole trace pattern image retrieval method based on a multi-feedback mechanism, comprising the following steps: step 1, sorting and outputting sole trace pattern images pre-stored in a sample image library according to the degree of similarity between the spectrum characteristics of binary charts of sole trace pattern images acquired on site and the features of the images in the sample image library; step 2, selecting at least two of the output sole trace pattern images pre-stored in the sample image library according to a predetermined standard, averaging the spectrum characteristics of the selected sole trace pattern images according to the spectrum characteristics of the selected sole trace pattern images, and working out the average spectrum characteristic; step 3, calculating the score of similarity between the average spectrum characteristic and the spectrum characteristic of the binary chart of each sole trace pattern image pre-stored in the sample image library; and step 4, outputting the sole trace pattern images pre-stored in the sample image library according to the score of similarity from high to low.

The invention provides a distributed Bloom filter system, which comprises a main control module of the distributed Bloom filter system and a plurality of child nodes. The child nodes are Bloom filters. The child nodes form a closed loop and the main control module of the distributed Bloom filter system is disposed outside the closed loop independently. The main control module of the distributed Bloom filter system is used for finishing first hash calculation of current input data and mapping the current input data to the child nodes. The child nodes are used for finishing second hash calculation of the current input data and implementing data query of the current input data according to results of the second hash calculating. The distributed Bloom filter system and an application method thereof are fast in searching speed, high in precision, fine in augmentability, low in characteristic value storage space requirement, and particularly suitable for resource and information searching in an era of cloud computing.

The invention provides a method for searching large volume of video data. The method comprises the following steps that 1, creating an index list structure in a video storing system, wherein the index list structure is divided into two layers of file folders; 2, when video within a period of time is searched in video data, positioning the video to the first layer of file folder of corresponding time according to time, positioning the video to the second layer of file folder of a corresponding channel according to a channel ID (identity) of the video, obtaining a required video file from the second layer of file folder, at a client, listing the video of the channel ID of the video within a searching time interval, and storing the searching result; 3, clicking to play the video of a target time by a user, wherein the video file corresponding to the target time can be directly and quickly positioned according to the searching result. The video file of some second can be quickly positioned, the searching speed is high, and the performance of the system is improved.

An apparatus and method for processing pictures (images, graphics or video frames) for image representation and comparison on the basis of a geometric feature description built from histograms of pseudo-color saturation. The feature description can also include normalized centroid variance, as well as an intensity map. The descriptions allow various matching comparisons to be performed between an input image and a set of comparison images, such as to find matching (or mismatching, or other relationship) images. The comparison can be sped using staged comparisons, whereby an image failing one level of comparison need not be considered in subsequent phases. A set of efficient image feature descriptors are described for use in a fast image retrieval scheme, which is efficient for searching of images spanning different image types, rotations and scales.

The invention discloses an intelligent skynet rapid video retrieval system which comprises a data collecting and processing module and an intelligence information module. The data collecting and processing module comprises an intelligent DVR and a video abstraction system, wherein the intelligent DVR is connected in a video in real time, intelligent analysis and intelligent detection are carried out on the video by the intelligent DVR, meanwhile intelligent alarm records are generated, the video abstraction system obtains video files, and abstraction compression processing is carried out on the video files by the video abstraction system to form abstraction files. The intelligence information module comprises an intelligence data base, an intelligence information system and a platform client side, wherein the intelligence data base is used for storing the abstraction files, alarm information, original videos and relevant description information which are uploaded from a data collecting and processing layer, the intelligence information system manages all intelligence information in a unified and concentrated mode and provides various inquiry modes for the platform client side, and the platform client side retrieves the uploaded abstraction files and the uploaded alarm records. The intelligent skynet rapid video retrieval system directly and rapidly conducts retrieval according to time, places, channels or label information, repeated video processing is not required, and the intelligent skynet rapid video retrieval system is rapid and effective.

The invention belongs to video search technique area especially, related to the new method for searching video based on a segment of video. Aim at disadvantages of current technique such as low searches precision and slow searches speed, the invention puts forward and solves two difficult problems under frame of optimal matching in graph theory: automatic obtaining similar segments and evaluating degree of similarity between two segments. Model of weighted bipartite graph is built. Examining continuity of similar frames obtains similar segments in preliminary. Maximum weighted matching between these segments and queried segment is calculated out by using Kuhn_Munkres method. The match determines whether two segments are similar or not as well as boundary of similar segments. Maximum weight shows degree of similarity between two segments. Comparing with prior art, experimental result indicates the invention obtains higher precision ratio, recall ratio and quicker searching speed.

The invention relates to the technical field of municipal comprehensive emergency management, in particular to a digital, structured and intelligent retrieval and reconstruction method for emergency plans. An emergency plan is subjected to multidimensional multilayer structured division, and retrieval is performed by utilizing multidimensional multiple attribute designation and key words; and combined with an emergency site, a preliminary emergency plan is subjected to real-time data and trend, situation and risk analyzing to be reconfigured. The retrieval and reconstruction method for emergency plans solves problems of the matching accuracy and the like of emergency plans and actual emergency events, and can be widely applied to the determination of emergency plans of emergency events.

A method, computer program product, electronic document product, and data processing system for rendering web pages containing dynamic data is disclosed. A rendering program executes periodically to render web documents from source documents, base strings for various visual features, database information, and descriptive text. Special command strings located within a source document direct the rendering program to insert information for a database or to insert descriptive text. The format for the inserted data is determined according to a base string for the particular feature(s) of the document being inserted. The resulting rendered document is stored on the web server for quick retrieval with little or no additional document processing.

The invention discloses a method for rapidly screening positions from a position database. The method relates to the position database, a position index generator, a position search server and a Web client. The position index generator is interconnected with the position database by an open database. The position index generator generates an index file according to the position data in the position database in an index structure based on a suffix array and distributes the generated index file to the position search server. The position search server is connected with the Web client through a socket. The Web client sends an inquiry request to the position search server through the socket. The position search server searches the index file and returns search results to the Web client for display through the socket. According to the method, all positions in the position database can be searched rapidly and effectively, and the search speed is greatly improved at the premise of guaranteeing the search accuracy.

A storage organization of digital video videotaping files is structurally characterized in that one video source directory is respectively built for each way of video source on a hard disc, a plurality of subdirectories are built below each video source directory, and videotaping files with the same quantity as the subdirectories are stored below each subdirectory. A naming method of the search method of the digital video videotaping files is naming for the directory and files of the digital video videotaping file storage organization, namely the directory is named according to the number order, the files are named in an order of number order + connector + time of starting videotaping + connector + videotaping duration, the number order format in file names is with right-alignment fixed width, and 0 is supplemented on the left side not wide enough. The storage organization and the search method of digital video videotaping files have the advantages that: 1 directory structural characteristics of a file system are given full play to and search is fast; 2 index files are not needed to be maintained and a database system is not needed, so that the business logic is simple; and 3 file names are short and accordingly can be displayed on limited graphical interfaces conveniently.

The present invention provides a hierarchical semantic description based image retrieving method. The method comprises the following steps: obtaining a scenario category classifier by using an image set with a scenario category tag; obtaining a visual attribute classifier by using an image set with a visual attribute tag; performing classification on each image in a query database by using the scenario category classifier and the visual attribute classifier, so as to obtain a scenario category description and a visual attribute description of each image; performing classification on an input query image by using the scenario category classifier and the visual attribute classifier, so as to obtain a scenario category description and a visual attribute description of the input query image; and in the query database, screening out images with the same scenario category description as the scenario category description of the query image to form a candidate image set, and searching for an image similar to the visual attribute description of the query image in the candidate image set as a retrieval result. The method provided by the present invention adopts a hierarchical semantic description method with the scenario category and the visual attribute combined, and the method is high in semantic similarity of the retrieval result and high in the retrieval speed.

The present invention discloses a traffic video monitoring system based on standard labeling and quick search, comprising a traffic monitoring video capturing module, a video image content analyzing module, a traffic video key frame obtaining module, a monitoring expansion data encoding module and a data stream searching module. Based on an SVAC standard, the grammar and semantics of the monitor messages can be appropriately expanded to satisfy the requirements of quick search of monitoring videos. The system provides a unified standard interface to realize labeling and quick search of compressed monitoring video data, and the monitor messages can be appropriately stretched and clipped according to business requirement to meet demand of functions such as data transmission. Meanwhile, an encoding scheme targeting traffic objects and events is worked out and the SVAC standard is used to realize a highly-accurate, simple, effective, unified and fast labeling and quick search method of traffic objects and events.

The invention discloses a fingerprint and finger vein combined recognition algorithm, which comprises the following steps of: firstly, retrieving N candidate users by utilizing a fingerprint feature point-based local surrounding point relative position and direction field similarity algorithm, and carrying out matching by using a finger vein recognition method based on combination of feature points and binary images; Experiments show that based on a fingerprint feature point local surrounding point relative position direction field similarity algorithm, the algorithm is good in stability, highin anti-interference capability and high in retrieval speed. The finger vein recognition algorithm based on the combination of the feature points and the binary image is stable. Under the condition that the false recognition rate is certain, the recognition performance of the fingerprint and finger vein combined recognition algorithm is obviously higher than that of a traditional fingerprint andfinger vein single-mode recognition algorithm; And the identification efficiency is also obviously improved.

The invention discloses an image and video retrieval method, which comprises the following steps: decoding images of an image source; cutting, converting and zooming a target image; treating a gray-scale map; counting a gray level histogram of the gray-scale map; converting the gray-scale map to a black and white picture; dividing the black and white picture; calculating a sum; storing the sum into a database to form a query range; inquiring, comparing and calculating errors; indexing fields; and inquiring and comparing to obtain a matching result. Through feature induction and accurate calculation for images and video frame images, the method has quick retrieval speed for the images and the video and high retrieval accuracy; and when the image quality, definition, color tones, watermarks and captions are changed, the retrieval accuracy and speed are not influenced, so the retrieval process is quick, the method is simple and the effects are obvious.

The invention discloses a method for obtaining personnel information of buyers. The method comprises the following steps that comment information of the buyer on a commodity in the historical buying record is obtained; a common word base is adopted, and in addition, common words in the comment information are extracted according to at least one classification factor; a classification factor information word base is adopted to obtain the classification factor information of the common words in one-to-one correspondence to each classification factor; the classification factor information is recorded into the personnel information. The invention discloses a system for obtaining personal information of the buyers, a method and a system for presuming the personnel information of the buyers, a method and a system for classifying commodities and a method and a system for retrieving the commodities. The resources of the personnel information of the buyers are diversified, and are not provided in a way of completely relying on users, in addition, the commodity classification mode is diversified, and faster and more precise retrieval results can be provided for the users according to different user groups.

The invention discloses a rapid image retrieval method, relating to a method which retrieves and displays digital images; the method solves the problem of complicated retrieval input. The method of the invention comprises the following steps: the process of creating and storing the comparison table between an image name assembly and a simplified name alphabet on an image processing device; the process of storing images on a storage medium; the process of establishing an image file chain table on the image processing device based on the images stored on the storage medium; the process of creating a hash table of the image simplified names on the image processing device based on the alphabet of the comparison table and the image file chain table; and the process of retrieving the images on the storage medium by simplified names and displaying the thumbnails of the retrieval result on the image processing device through the hash table and the image file chain table. The method of the invention enables the operator to input the simplified names of the images during the retrieval process, so as to avoid the image names expressed in complicated vocabulary; therefore, the method requires small input amount and is simple to operate, which occupies small storage space and has fast speed in the middle process; the method is suitable for hand-held image browsing devices.