637 results about "Quality Score" patented technology

A method and system for selecting a network to establish a connection to from a set of available network includes a network database providing historical information about each of the networks and sends the database information to end user terminals. The end user terminals monitor real-time performance information about each of the available networks and can send this information to the network database. The end user terminals also include network connection policy information which can be used to make the selection decision. The end user terminal determines a network quality score for each available network as a function of the historical information from the network database, the real-time performance information about each available network and the network connection policy information. The end user terminal can select the available network as a function of the network quality score, for example, selecting the available network with the highest network quality score.

Described is a method of handling automated conversations by categorizing a plurality of events which occur during automated conversations based on an impact of the events on a level of user satisfaction with the automated conversations, assigning to each category of events a quality score corresponding to the impact on user satisfaction of the events in each category and initiating a conversation handling action for one of the conversations based on the categories of events detected during the one of the conversations.

A system provides one or more advertisements to users in response to search queries and logs user behavior associated with user selection of the one or more advertisements. The system also logs features associated with selected ones of the one or more advertisements, or associated with the search queries. The system further uses a statistical model and the logged user behavior to estimate quality scores associated with the selected advertisements and aggregates the estimated quality scores. The system predicts the quality of another advertisement using the aggregated quality scores.

A tag-mediated review system for electronic content that ranks content based upon several ascertainable factors, including the implicit engagement with the content by users (typically online viewers); the expertise and success in the topical domain by reviewers; and the review activity of users or viewers. The system extends implicit metrics to tracking of user interaction including the receipt of video and audio content over the web. Document ranking is mediated by tags that identify the subject matter addressed by an associated document as the ranking mediators for computing content quality scores values for user and reviewer activity. The tag-mediated content quality scores, which are content quality scores for the subject matter area identified by the associated tags, can be exposed to end-users and used directly or indirectly to complement search engine retrieval algorithms.

Systems and methods are disclosed for estimating aesthetic quality of digital images using deep learning. In particular, the disclosed systems and methods describe training a neural network to generate an aesthetic quality score digital images. In particular, the neural network includes a training structure that compares relative rankings of pairs of training images to accurately predict a relative ranking of a digital image. Additionally, in training the neural network, an image rating system can utilize content-aware and user-aware sampling techniques to identify pairs of training images that have similar content and / or that have been rated by the same or different users. Using content-aware and user-aware sampling techniques, the neural network can be trained to accurately predict aesthetic quality ratings that reflect subjective opinions of most users as well as provide aesthetic scores for digital images that represent the wide spectrum of aesthetic preferences of various users.

Systems and methods for facilitating contact center coaching are provided. In this regard, a representative integrated contact center system incorporates a workforce manager, a quality monitor, and a coaching system. The workforce manager includes a scheduler. The quality monitor is configured to provide, to the scheduler, at least one quality goal for a work period of an agent and at least one quality score for the agent. The coaching system is configured to communicate with the workforce manager, the coaching system being operative to: receive information, from the quality manager, corresponding to a condition indicating that the agent is failing to meet pre-established criteria; schedule a coaching meeting with the agent in order to address the condition; and integrate the information corresponding to the condition into a coaching session form.

The invention discloses a realizing method, a realizing device and a realizing system for recommending applications. The method includes the following steps: unitization processing the characteristic information of applications, so as to obtain the quality scores of the applications, and determining the correlativity of multiple applications according to the historical behavior data of multiple users; and in case that the information of the application recommended to the user needs to be transmitted to the user, other applications can be wholly or partially recommended to the user according to the quality scores of the other applications and the correlativity between the other applications and the object application, and the object application includes the application used at present or before. According to the realizing method, device and system, the applications can be recommended to the user by referring to the characteristics of the applications, therefore, the newly uploaded or little-user operation applications can be reasonably recommended to the user, the inaccuracy of the subjective judgment in recommending the applications can be overcome, and by combining with the relevance to recommend on the basis, the accuracy in recommending can be further improved, and the user experiencing can be improved.

An embodiment of the invention, directed to assessing quality of recorded service data, comprises the step of receiving a record containing service data at a service record evaluator. The method further comprises selecting at least one information field of a plurality of information fields contained in the received record, and determining a numerical quality score for each selected information field. Each of the quality scores is used to compute a cumulative quality score for the record, and it is determined whether the cumulative quality score is no less than a minimum quality threshold.

The present invention relates to systems and methods for generating an adjustment factor for a cost associated with a user selection of an advertisement displayed at a website. The method of the present invention comprises retrieving analytics data and traffic quality metric data associated with the website, and calculating a traffic quality score for the website. An adjustment factor for the website is calculated based upon the traffic quality score associated with the website and a benchmark traffic quality score.

In one embodiment, the invention comprises partial fault tolerant stream processing applications. One embodiment of a method for implementing partial fault tolerance in a stream processing application comprising a plurality of stream operators includes: defining a quality score function that expresses how well the application is performing quantitatively, injecting a fault into at least one of the plurality of operators, assessing an impact of the fault on the quality score function, and selecting at least one partial fault-tolerant technique for implementation in the application based on the quantitative metric-driven assessment.

Provided is a process of ascertaining the accuracy of geolocations in a collection of location histories, the process including: obtaining a collection of location histories describing user geolocations, each location history including: a location-history identifier distinguishing the respective location history from other location histories among the collection of location histories, and time-stamped geolocation coordinates specifying geographic locations associated with a respective mobile computing device, the collection of location histories describing geolocations of a plurality of mobile computing; analyzing the collection of location histories by, at least in part, calculating one or more quality attributes of the collection of location histories indicative of differences between the collection of location histories and other collections of location histories known to be of adequate quality; calculating one or more quality scores based on the one or more quality attributes; and storing the one or more quality scores in memory.

Face verification is performed using video data. The two main modules are face image capturing and face verification. In face image capturing, good frontal face images are captured from input video data. A frontal face quality score discriminates between frontal and profile faces. In face verification, a local binary pattern histogram is selected as the facial feature descriptor for its high discriminative power and computational efficiency. Chi-Square (χ2) distance between LBP histograms from two face images are then calculated as a face dissimilarity measure. The decision whether or not two images belong to the same person is then made by comparing the corresponding distance with a pre-defined threshold. Given the fact that more than one face images can be captured per person from video data, several feature based and decision based aggregators are applied to combine pair-wise distances to further improve the verification performance.

The invention provides a fingerprint and finger vein bimodal recognition decision level fusion method. Two modules, namely a fingerprint module and a vein module are included. The fingerprint module and the vein module read fingerprint images and vein images; the read fingerprint images and vein images are subjected to image quality evaluation according to respective image characteristics to acquire quality scores; the fingerprint images and vein images are preprocessed and recognized, wherein the fingerprint recognition adopts a minutiae-based matching method and the vein recognition adopts an improved Hausdorff distance mode, and respective recognition results are obtained; and finally, a weight is designed according to image quality scores of the two modes, and the recognition results are subjected to decision level fusion according to the weight and a final recognition result is obtained. Based on the fact that the performance of the system after fusion is superior to that of a single fingerprint recognition or finger vein recognition system, the method has strong practicability.

The invention provides a face image quality evaluation method based on a multidirectional evaluation standard and a system thereof. The method comprises the steps of acquiring a face image as trainingdata; classifying the training data according to degrading characteristics with different dimensions; performing preliminary evaluation and marking on each kind of images in the classified training data; establishing a branch task which corresponds with each kind of dimension characteristics according to the classification result of the degrading characteristics with different dimensions; establishing a quality evaluation model, performing training, performing multi-branch task predicating on an input to-be-evaluated face image according to the quality evaluation model after training, therebyfinishing face image quality evaluation. According to the method and the system, the image characteristics are extracted by means of a deep neural network, and furthermore comprehensive quality evaluation to multiple image quality affecting factors is finished. An obtained image comprehensive quality score is relatively same with the subjective evaluation of human eyes, and furthermore a relatively high evaluation speed is realized. After the low-quality image is filtered, face identification performance can be effectively improved.

The invention relates to an identity identification method and apparatus with the combination of the gait and the face based on deep learning. The apparatus comprises a video acquisition and preprocessing module, a gait feature extraction module, a face feature extraction module and an identification module. The method includes: acquiring a video stream, and performing pedestrian detection and tracking and face detection on the video stream; performing gait feature extraction on human body images, and calculating quality evaluation scores of gait features; performing face feature extraction onface images, calculating quality evaluation scores of face features, and regarding the face image with the highest quality evaluation score as a to-be-identified face image; and performing weightingon the gait features and the face features according to respective quality scores, and inputting the weighted scores into a SVM classifier for identity identification. According to the method and theapparatus, the quality evaluation scores of the gait features and the face features are calculated, weighting is performed according to the quality scores, advantages of face identification and gait identification are combined, the two identification technologies are complemented, the robustness of an identification system is increased, and the accuracy of figure identity identification is improved.

A method and system for selecting a network to establish a connection to from a set of available network includes a network database providing historical information about each of the networks and sends the database information to end user terminals. The end user terminals monitor real-time performance information about each of the available networks and can send this information to the network database. The end user terminals also include network connection policy information which can be used to make the selection decision. The end user terminal determines a network quality score for each available network as a function of the historical information from the network database, the real-time performance information about each available network and the network connection policy information. The end user terminal can select the available network as a function of the network quality score, for example, selecting the available network with the highest network quality score.

Methods and systems allow a user to log in to a device so that a number of apps become accessible on the device without the user repeatedly logging in to each different app as the user launches multiple apps. A mechanism of providing a master token with a quality score and providing sub-tokens for each app that can use the sub-token and the score quality to evaluate the level of security provided by the initial login allows each app to skip its own login process and provides a level of enhanced efficiency and convenience for the user. A method includes authenticating a user; creating a master token on the user device; creating a sub-token of the master token for an app launched on the device; the app skipping the login process of the app in response to the sub-token so that the app proceeds directly to validating a transaction.

The technology disclosed assigns quality scores to bases called by a neural network-based base caller by (i) quantizing classification scores of predicted base calls produced by the neural network-based base caller in response to processing training data during training, (ii) selecting a set of quantized classification scores, (iii) for each quantized classification score in the set, determining a base calling error rate by comparing its predicted base calls to corresponding ground truth base calls, (iv) determining a fit between the quantized classification scores and their base calling error rates, and (v) correlating the quality scores to the quantized classification scores based on the fit.

One or more of the systems, apparatuses, or methods discussed herein can include a quality score for a plurality of item listings or collections of item listings. Data sparseness can be avoided, as the quality score is based on inherent properties of the listing. An item listing can be recommended to a user based on the quality score. In one or more embodiments, a method can include determining a plurality of quality scores including a quality score for each of a plurality of item listings or a plurality of collections of item listings, the quality scores determined independent of a user's attributes and independent of the user's contextual information, the contextual information corresponding to details of the user's access to a website, and recommending an item listing or collection of item listings to a user based on the quality scores and the contextual information.

Patient data can be used to determine input values to different estimation functions for different treatment types. The estimation functions can each be used to estimate one or more outcome values for the respective treatment. A quality score can be determined using the outcome value(s). A first treatment plan having an optimal quality score can be identified, e.g., by displaying the treatment plans with the quality scores, which may correspond to the outcome values.

A tag-mediated review system for electronic content that ranks content based upon several ascertainable factors, including the implicit engagement with the content by users (typically online viewers); the expertise and success in the topical domain by reviewers; and the review activity of users or viewers. The system extends implicit metrics to tracking of user interaction including the receipt of video and audio content over the web. Document ranking is mediated by tags that identify the subject matter addressed by an associated document as the ranking mediators for computing content quality scores values for user and reviewer activity. The tag-mediated content quality scores, which are content quality scores for the subject matter area identified by the associated tags, can be exposed to end-users and used directly or indirectly to complement search engine retrieval algorithms.

The invention discloses a quality objective evaluation method with no reference images based on multi-scale generative adversarial network. Similar quality images corresponding to distorted images canbe generated through the multi-scale generative adversarial network, and similar quality images in different scales can undergo regression to obtain the image quality scores through convolution nervenetwork. The multi-scale generative adversarial network is trained, and similar quality images are generated for the distorted images through the full-reference image quality evaluation method, and the similar quality images are considered as a real data set for determining network. Three groups of similar quality images in different scales are considered as the data set, and the subjective evaluation score is used as the label, and the image quality score regression network is trained. The distorted image generates a plurality of similar quality images in different scales through the generative network, and generates the image quality score through the image quality score regression network. The invention is advantageous in that the integral distortion degree and the local distortion details are combined, and the quality score of the distorted images can be further determined, and the quality of distorted images can be embodied in a more comprehensive and more accurate manner.

The invention discloses an image processing method and device, a terminal and a storage medium, and belongs to the technical field of terminals. The method comprises the steps of keeping on shooting afirst video after a shooting function is enabled; extracting m frames of images from the first video, wherein the m frames of images are images of a target object shot in different angles; obtainingrespective corresponding quality score of the m frames of the images, wherein the quality score is used for indicating image quality of the image; selecting and displaying n candidate images from them frames of images based on respective corresponding quality score of the m frames of the images, wherein the candidate images are images with the quality score higher than a preset threshold. N high-quality candidate images which include the target object are output automatically through the terminal, and the subsequent users can select images satisfies the prospection from the displayed n candidate images, so that users are avoided adjusting shooting parameters every time the users shoot images, and the operational difficulty in shooting high-quality images is reduced greatly.

Systems and methods of perceptual quality monitoring of video information, communications, and entertainment that can estimate the perceptual quality of video with high accuracy, and can be used to produce quality scores that better correlate with subjective quality scores of an end user. The systems and methods of perceptual quality monitoring of video can generate, from an encoded input video bitstream, estimates of one or more quality parameters relating to the video, such as the coding bit rate parameter, the video frame rate parameter, and the packet loss rate parameter, and provide these video quality parameter estimates to a predetermined video quality estimation model. Because the estimates of the video quality parameters are generated from the encoded input video bitstream as it is being received, the systems and methods are suitable for use as QoE monitoring tools.

A system and method for differentiated services in adaptive streaming are provided. A method for server operations includes: determining an optimization of aggregated quality of experience scores for a set of candidate subscribers served by a server; adjusting a service rate of at least one subscriber based on the determined optimization of aggregated quality of experience scores; and streaming information to the at least one subscriber based on the adjusted service rate. The optimization is based on one or more of: a subscriber level for one or more of the plurality of subscribers; a current service rate; and available service rates.

A system and method is provided that recommends group compositions in multiplayer video games. The system may suggest a composition of a group of players using a matchmaking process. For example, one or more players may wish to form or join a group of players for a given game, but not know what would be an appropriate mix of player styles, player roles, skill levels, and / or other player characteristics that would make an optimal group, given the player's own characteristics. The system may identify optimal groups based on matchmaking related information such as, without limitation, game profile, player profile, prior match scores, prior quality scores, and / or other information. Optimal groups may be those that have performed successfully (e.g., accomplished the most wins, objectives, etc.), are associated with the highest player enjoyment (e.g., based on match and / or quality scores), and / or otherwise are deemed to be desirable.

A method for measuring a quality of an IP network of a member of a trading exchange includes finding a penultimate hop corresponding to each IP network IP network prefix in a set of IP network IP network prefixes of a member, determining a quality score for the each IP network IP network prefix based on tests performed at the penultimate hop, and creating a matrix for the member including the determined quality for the each IP network IP network prefix. The quality is used to facilitate matching the offers of the buyers and sellers.

A method for scoring and controlling the quality of dynamic food products transitioning in the processing steps is performed using image analysis. An image of a plurality of moving food products on a conveyor system is captured by on-line vision equipment and image analysis is performed on the image via an algorithm that determines the percentage of pixels having varying intensities of colors and applies predetermined preferences to predict consumer dissatisfaction. The entire group of food products of one or more images is given an overall appearance score and each individual food product is also scored such that each may be ranked from least to more acceptable. The ranked food products can then be ejected in the order of worst to better rank to increase the overall quality score of the entire group.

Evaluation of health care provider quality is described. Data is obtained, the data including claims data and member data of a member panel of a health care provider, the member panel including patients to which the provider provides health care services. Based on the obtained data, quality scores are determined for the provider across the member panel and across health care quality domains. A composite health provider quality score of the health provider is then determined, where the composite health provider quality score is a composite of the determined quality scores across the member panel and across the multiple health care quality domains. In some embodiments, risk-adjustment is performed for the quality scores, such as risk-adjustment against a peer reference base based on disease categories, patient age, and patient gender.