Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: In a method for generating a cartoon face image that is performed by a computing device, a to-be-processed face image is obtained. Face feature information is recognized from the to-be-processed face image, and cartoon materials corresponding to feature parts of a face in the to-be-processed face image are obtained according to the face feature information. The obtained cartoon materials are cartoon face materials. The cartoon face materials include cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials. Each of the cartoon facial feature materials are adjusted by using an adjustment parameter, and the other cartoon material are combined with the cartoon facial feature materials after adjustment to generate the cartoon face image.

Abstract: The present application relates to rolled good feeding device and method. Material feeding devices and methods are provided for conveying material from material rolls. The material roll may be adjusted in the longitudinal direction during the feeding process by a rectifying frame to aid in maintaining alignment during the unrolling. Tension of the unrolled material may be monitored and unrolling speeds of the feeding device can be adjusted to maintain tension of the material within a range for that material. Aspects also contemplate elements to feed multiple rolled materials simultaneously for subsequent processing in combination as layered materials.

Abstract: A computing device obtains a to-be-optimized image. The device aligns the to-be-optimized image to obtain a to-be-optimized aligned image. The to-be-optimized aligned image includes a target region having points of objects that are distributed in a standard position. The computing device uses the to-be-optimized aligned image as an inputs to a generation network. The device performs feature extraction on the to-be-optimized aligned image using the generation network, to obtain an optimized image. The generation network is obtained by training a to-be-trained generative adversarial deep neural network model according to a low-quality image pair and a joint loss function. The low-quality image pair includes a target image and a low-quality image corresponding to the target image.

Abstract: Disclosed is a method for training an expression transfer model performed by a computer device, the method including: obtaining a source domain facial image of a first object, a target domain facial image of a second object and a facial feature image associated with the target domain facial image; applying the facial feature image and the source domain facial image to an expression transfer model to obtain a synthesized facial image of the first object; applying the synthesized facial image and the target domain facial image to a discriminative network model obtain two discrimination results; applying the synthesized facial image and the target domain facial image to an image classification model to obtain a category feature vector for identifying a difference between the synthesized facial image and the target domain facial image; and updating the expression transfer model according to the category feature vector and the discrimination results.

Abstract: An image processing method includes: obtaining audio data corresponding to a reality scene image acquired in real time; dynamically determining attribute information of a virtual object according to the audio data, the attribute information indicating a visual state of the virtual object; identifying a target object from the reality scene image; determining, according to the target object, a fusion location of the virtual object determined according to the attribute information in the reality scene image according to the target object; fusing the virtual object determined according to the attribute information into the reality scene image according to the fusion location, the virtual object presenting different visual states that correspond to different attribute information dynamically determined according to the audio data.

Abstract: A computer-implemented method comprising: monitoring, by a computing device, live sensor data received from one or more sensor devices; detecting, by the computing device, abnormal behavior of one or more individuals or objects based on the monitoring the live sensor data; determining, by the computing device, a deficiency of a facility based on the detecting the abnormal behavior; and executing, by the computing device, a computer-based instruction based on the deficiency of the facility.

Abstract: The present disclosure provides an image processing method, including: recognizing a source object in a source image, and determining, according to feature points of the source object, an orientation and a size of the source object; adjusting, according to matching relationships between the orientation and the size of the source object and the orientation and the size of the target object, the orientation and the size of the source object; adjusting a shape of the source object and a shape of the target object according to an average shape of the source object and an average shape of the target object; and fusing, in real time, the source image and the target image in a manner of aligning the shape of the source object with the shape of the target object.

Abstract: An optimization method for high-efficiently placing proppants in a hydraulic fracturing treatment includes steps of: (1) constructing a rock deformation governing equation during a fracturing process, and constructing a material balance equation of flowing of fracturing fluid and transport of the proppant; (2) constructing a model for representing a pumped volume fraction of the proppant; (3) calculating with given parameters, and obtaining corresponding fracture geometric size and volumetric concentration distribution of the proppant; (4) calculating a placement efficiency of the proppant for each set of parameters; (5) calculating an average placement efficiency of the proppant under different parameters; (6) selecting optimized parameters; (7) substituting the optimized parameters into the models constructed in the steps (1) and (2), calculating the placement efficiency of the proppant as step (4), and verifying whether the placement efficiency is maximum, which means the optimized parameters are optimal.

Abstract: The present disclosure discloses an image processing method, including: recognizing basic feature points of a source object in a source image and basic feature points of a base object in a base image; determining, according to distribution of the basic feature points in each of the images, auxiliary feature points that meet a filling condition according to the distribution in a corresponding image; determining feature points of a same type in the source object and the base object, the feature points of the same type including basic feature points of a same type and auxiliary feature points of a same type in the source object and the base object; determining average feature points according to positions of the feature points of the same type; deforming the source object and the base object according to the average feature points; and fusing the deformed source object with the deformed base object. The present disclosure further discloses an image processing apparatus, a terminal, and a storage medium.

Abstract: Embodiments of this application disclose an image fusion method performed by a computing device. The method includes the following steps: obtaining source face image data of a current to-be-fused image and resource configuration information of a current to-be-fused resource, performing image recognition processing on the source face image data, to obtain source face feature points corresponding to the source face image data, and generating a source face three-dimensional grid of the source face image data according to the source face feature points, performing grid fusion by using a resource face three-dimensional grid and the source face three-dimensional grid to generate a target face three-dimensional grid, and performing face complexion fusion by using source complexion data of the source face image data and resource complexion data of resource face image data on the target face three-dimensional grid, to generate fused target face image data.

Abstract: The present application relates to rolled good feeding device and method. Material feeding devices and methods are provided for conveying material from material rolls. The material roll may be adjusted in the longitudinal direction during the feeding process by a rectifying frame to aid in maintaining alignment during the unrolling. Tension of the unrolled material may be monitored and unrolling speeds of the feeding device can be adjusted to maintain tension of the material within a range for that material. Aspects also contemplate elements to feed multiple rolled materials simultaneously for subsequent processing in combination as layered materials.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a display, an input interface, and processing circuitry. The display displays at least a locator image and a reference image. The input interface sets a region of interest on the locator image displayed on the display. The processing circuitry scans a subject to obtain three dimensional data, generates a locator image from the three dimensional data and displaying the locator image on the display, generates a reference image corresponding to the location of the region of interest from the three dimensional data and displaying the reference image on the display, and makes, when a size or position of the region of interest on one of the locator image and the reference image is changed by the input interface, adjustments to correspondingly change the display magnification or position of the other one of the locator image and the reference image.

Abstract: Weight image object tagging includes acquiring digital images based on a user browsing webpages, automatically tagging the digital images based on weighting individual image objects, where automatically tagging a digital image of the digital images is based on a relative weighting between objects recognized from that digital image, and building a user preference profile based on recurrences of tags across the digital images.

Abstract: Aspects of the disclosure provide methods and apparatuses for generating video data. In some examples, an apparatus for generating the video data includes processing circuitry. The processing circuitry obtains tempo information from audio data that is inserted in a target video. The processing circuitry determines a plurality of target tempo points in the tempo information according to video effect time description information included in a video effect description file. The video effect description file includes video effect data that is used to adjust one or more video frames of an original video. The processing circuitry obtains the one or more video frames from the original video according to the plurality of target tempo points. The processing circuitry adjusts the one or more video frames with the video effect data. The processing circuitry generates the target video including the adjusted one or more video frames and the audio data.

Abstract: An image processing method includes: obtaining audio data corresponding to a reality scene image acquired in real time; dynamically determining attribute information of a virtual object according to the audio data, the attribute information indicating a visual state of the virtual object; identifying a target object from the reality scene image; determining, according to the target object, a fusion location of the virtual object determined according to the attribute information in the reality scene image according to the target object; fusing the virtual object determined according to the attribute information into the reality scene image according to the fusion location, the virtual object presenting different visual states that correspond to different attribute information dynamically determined according to the audio data.

Abstract: Embodiments of this application disclose a video data processing method and apparatus, and a storage medium. After historical and current video frames are acquired from a video stream, two point position sets of a human body are obtained from the historical video frame and the current video frame, respectively. A jitter amplitude of a human body key point in the current video frame is analyzed according to the point position set of the human body in the current video frame and the point position set of the human body in the historical video frame; an adjustment reference position of the human body in the current video frame is determined according to the jitter amplitude; and subsequently a human body part below the adjustment reference position in the current video frame is adjusted and the adjusted current video frame is outputted for display as part of the video stream.

Abstract: In a method for generating a cartoon face image that is performed by a computing device, a to-be-processed face image is obtained. Face feature information is recognized from the to-be-processed face image, and cartoon materials corresponding to feature parts of a face in the to-be-processed face image are obtained according to the face feature information. The obtained cartoon materials are cartoon face materials. The cartoon face materials include cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials. Each of the cartoon facial feature materials are adjusted by using an adjustment parameter, and the other cartoon material are combined with the cartoon facial feature materials after adjustment to generate the cartoon face image.

Abstract: The present disclosure describes implementation of network virtualization based on modular quality of service control (MQC) in a data center network. In one example, a command originating from a tenant of a VDC is received by a network management server, the command being associated with network resource processing based on MQC. Based on a network resource configuration for the VDC, the received command is processed on a network virtualization layer of the network management server such that only processing associated with the VDC of the tenant is performed.