Abstract: The present disclosure provides a method, an electronic device, and a computer readable storage medium for image fusion. The image fusion method includes calculating a fusion coefficient image M based on a first frame image I1 or based on both the first frame image I1 and a second frame image I2; calculating a first gradient D1 of the first frame image I1 and a second gradient D2 of the second frame image I2; calculating a preliminary fusion result J based on the calculated fusion coefficient image M, the first gradient D1 and the second gradient D2; and obtaining an output image I3 based on the calculated fusion coefficient image M, the first gradient D1, the second gradient D2 and the preliminary fusion result J, wherein brightness of the first frame image I1 is greater than brightness of the second frame image I2, and wherein the fusion coefficient image M is used to mark fusion weights of pixels in the first frame image I1.

Abstract: A method and system of controlling a digital assistant with dynamically switchable endpoint devices, comprising: dynamically selecting a respective input endpoint device and a respective controlled device for each of a plurality of voice-based requests from a user to the computing system, including: at a first point in time, acquiring respective instances of a first voice input from a first set of two or more input endpoint devices; obtaining a representative copy of the first voice input based on the respective instances of the first voice input that have been acquired from the first set of two or more input endpoint devices; determining a first actionable intent based on the representative copy of the first voice input; and dispatching a first encoded instruction to a first controlled endpoint device selected from the plurality of controlled endpoint devices in accordance with the first actionable intent.

Abstract: According to various aspects of the present disclosure, methods, systems, and media for object tracking are provided. In some embodiments, the systems may include: at least one hardware processor to: detect a target object in first image data provided by a first camera; determine a first plurality of neighboring cameras of the first camera that have detected the target object; determine at least one of the first plurality of neighboring cameras as a next node of the first camera; and generate first topological data for the first camera and the next node of the first camera.

Abstract: A natural language processing (NLP) apparatus includes a housing, a built-in voice input interface; a built-in data communication interface configured to establish data communication with multiple types of appliances; a built-in NLP module, and a built-in control device. A first voice input is received through the built-in voice input interface; if the target appliance is a first appliance of a first appliance type, the first voice input is processed using a first NLP model of the built-in NLP module to obtain a first machine command, and the first machine command is sent via the built-in data communication interface to the first appliance; and if the target appliance is a second appliance of a second appliance type, the first voice input is processed using a second NLP model of the built-in NLP module, and the second machine command is sent via the built-in data communication interface to the second appliance.

Abstract: A method and system of providing a portable voice-based control user interface for multiple types of appliances are disclosed. The method includes activating a built-in voice communication interface of a voice control apparatus; selecting a first target appliance to receive voice-based commands; receiving a first voice input; in accordance with a determination that the first target appliance is a first appliance of a first appliance type, processing the first voice input using a first NLP model corresponding to the first appliance type to obtain a first machine command, and sending the first machine command to the first appliance; and in accordance with a determination that the first target appliance is a second appliance of a second appliance type, processing the first voice input using a second NLP model corresponding to the second appliance type to obtain a second machine command, and sending the second machine command to the second appliance.

Abstract: A method and system of customizing a portable voice-based control user interface for multiple types of appliances are disclosed.

Abstract: A method and system of providing a portable voice-based control user interface for multiple types of appliances are disclosed. The method includes activating a built-in voice communication interface of a voice control apparatus; selecting a first target appliance to receive voice-based commands; receiving a first voice input; in accordance with a determination that the first target appliance is a first appliance of a first appliance type, processing the first voice input using a first NLP model corresponding to the first appliance type to obtain a first machine command, and sending the first machine command to the first appliance; and in accordance with a determination that the first target appliance is a second appliance of a second appliance type, processing the first voice input using a second NLP model corresponding to the second appliance type to obtain a second machine command, and sending the second machine command to the second appliance.

Abstract: Health monitoring for civil structures, and a performance alarming method for long-span bridge girder considering time-varying effects. First, establish accurate relationship model between temperature and strain fields to eliminate the temperature effect in the girder strain; second, build principal component analysis model for the girder strain after eliminating temperature effect to further eliminate the effects of wind and vehicle loads. Then, construct the performance alarming index and determine its reasonable threshold for the strain after eliminating the effects of temperature, wind and vehicle loads. Finally, construct the performance degradation locating index based on the contribution analysis.

Abstract: A detection method for an image acquisition device, a detection device for an image acquisition device, an electronic device and a computer readable storage medium are disclosed. The image acquisition device includes a light source and a diffuser, the diffuser is configured to scatter light emitted by the light source and the light emitted by the light source is irradiated on at least partial area of a scene, the image acquisition device includes: acquiring an image of the scene; determining an effective area of the image; and determining whether or not the diffuser is in an abnormal working state according to information of the effective area.

Abstract: This disclosure provides an image processing method, an electronic device and a non-transitory computer-readable storage medium, and relates to the field of image processing technique. The image processing method and apparatus and the electronic device provided by this application perform denoising on the to-be-processed image to obtain a denoised image, and then perform detail enhancement on the target area image extracted from the denoised image to obtain a detail enhanced image, thereafter fuse the denoised image with the detail enhanced image to obtain an output image. Since detail enhancement has been performed on the target area image, the obtained output image is sharper and the display effect is better.

Abstract: The present disclosure relates to systems and methods of multi-camera. The method may include determining a level of a camera in a multi-camera system based on the status of an object, and determining a mode of the camera based on the level. The mode may relate to one of a bit rate, an I frame interval, or a coding algorithm. The method may further include generating a monitor file relating to the object based on the level of the camera in the multi-camera system.

Abstract: The embodiment of the present disclosure relates to an image processing method, which includes: acquiring a first image and a second image captured for a same object; and determining depth information of the object according to the first image and the second image. The embodiment of the present disclosure further provides an image processing device and a computer readable medium.

Abstract: A method and system of controlling a digital assistant with dynamically switchable endpoint devices, comprising: dynamically selecting a respective input endpoint device and a respective controlled device for each of a plurality of voice-based requests from a user to the computing system, including: at a first point in time, acquiring respective instances of a first voice input from a first set of two or more input endpoint devices; obtaining a representative copy of the first voice input based on the respective instances of the first voice input that have been acquired from the first set of two or more input endpoint devices; determining a first actionable intent based on the representative copy of the first voice input; and dispatching a first encoded instruction to a first controlled endpoint device selected from the plurality of controlled endpoint devices in accordance with the first actionable intent.

Abstract: According to various aspects of the present disclosure, methods, systems, and media for object tracking are provided. In some embodiments, the systems may include: at least one hardware processor to: detect a target object in first image data provided by a first camera; determine a first plurality of neighboring cameras of the first camera that have detected the target object; determine at least one of the first plurality of neighboring cameras as a next node of the first camera; and generate first topological data for the first camera and the next node of the first camera.

Abstract: The present invention belongs to the technical field of health monitoring for civil structures, and a performance alarming method for bridge expansion joints based on temperature displacement relationship model is proposed. First, the canonically correlated temperature is proposed to maximize the correlation between bridge temperature field and expansion joint displacement; second, a temperature displacement relationship model for bridge expansion joints is established based on canonically correlated temperatures; then, a mean-value control chart is constructed to the error of temperature displacement relationship model; finally, reasonable control limits are determined for the mean-value control chart. A more accurate temperature displacement relationship model can be established based on canonically correlated temperatures, which is of important value to improve the performance alarming ability for expansion joint.

Abstract: The present invention belongs to the technical field of health monitoring for civil structures, and an anomaly identification method considering spatial-temporal correlation is proposed for structural monitoring data. First, define current and past observation vectors for the monitoring data and pre-whiten them; second, establish a statistical correlation model for the pre-whitened current and past observation vectors to simultaneously consider the spatial-temporal correlation in the monitoring data; then, divide the model into two parts, i.e., the system-related and system-unrelated parts, and define two corresponding statistics; finally, determine the corresponding control limits of the statistics, and it can be decided that there is anomaly in the monitoring data when each of the statistics exceeds its corresponding control limit.

Abstract: The present invention belongs to the technical field of health monitoring for civil structures, and a dynamically non-Gaussian anomaly identification method is proposed for structural monitoring data. First, define past and current observation vectors for the monitoring data and pre-whiten them; second, establish a statistical correlation model for the whitened past and current observation vectors to obtain dynamically whitened data; then, divide the dynamically whitened data into two parts, i.e., the system-related and system-unrelated parts, which are further modelled by the independent component analysis; finally, define two statistics and determine their corresponding control limits, respectively, it can be decided that there is anomaly in the monitoring data when each of the statistics exceeds its corresponding control limit.

Abstract: Methods and systems are directed to improving the convenience of drawing applications. Some examples include generating 3D drawing objects using a drawing application and selecting one based on a 2D design (in some cases a hand-drawn sketch) provided by a user. The user provided 2D design is separated into an outline perimeter and interior design, and corresponding vectors are then generated. These vectors are then used with analogous vectors generated for drawing objects. The selection of a drawing object to correspond to the 2D design is based on finding a drawing object having a minimum difference between its vectors and the vectors of the 2D design. The selected drawing object is then used to generate a drawing object configured to receive edits from the user. This reduces the inconvenience required to manually reproduce the 2D design in the drawing application.

Abstract: Methods and systems are directed to improving the convenience of drawing applications. Some examples include generating 3D drawing objects using a drawing application and selecting one based on a 2D design (in some cases a hand-drawn sketch) provided by a user. The user provided 2D design is separated into an outline perimeter and interior design, and corresponding vectors are then generated. These vectors are then used with analogous vectors generated for drawing objects. The selection of a drawing object to correspond to the 2D design is based on finding a drawing object having a minimum difference between its vectors and the vectors of the 2D design. The selected drawing object is then used to generate a drawing object configured to receive edits from the user. This reduces the inconvenience required to manually reproduce the 2D design in the drawing application.

Abstract: Embodiments of the invention provides a method and device for assigning bitrates to a plurality of channels in a scalable audio encoding/truncation process. Different bitrates are assigned to different channels in the scalable audio encoding/truncation process.