Abstract: Implementations of the present disclosure provide a solution for cross-domain image translation. In this solution, a first learning network for geometric deformation from a first to a second image domain is determined based on first and second images in the first and second domains, images in the two domains having different styles and objects in the images having geometric deformation with respect to each other. Geometric deformation from the second to the first domains is performed on the second image or geometric deformation from the first to the second domains is performed on the first image, to generate an intermediate image. A second learning network for style transfer from the first to the second domains is determined based on the first and intermediate images or based on the second and intermediate images generated. Accordingly, processing accuracy of leaning networks for cross-domain image translation can be improved and complexity is lowered.

Abstract: The present application discloses a woody rootstock for efficient grafting of solanaceous vegetables and an efficient grafting and seedling culture method thereof. According to the present application, a woody rootstock clone with high consistency is provided through tissue culture, efficient grafting is completed through sleeve grafting technology, and the grafting survival rate is improved by regulating the healing environment. A new idea for efficient industrial grafting of solanaceous vegetables is provided, scions are imparted with new features through distant grafting, and the problems of low grafting efficiency and low survival rate are solved. The method has the advantages of strong operability, simplicity, high efficiency and low cost, and provides a technical support for the industrial production of grafted seedlings of solanaceous vegetables.

Abstract: The disclosure herein enables tracking of multiple objects in a real-time video stream. For each individual frame received from the video stream, a frame type of the frame is determined. Based on the individual frame being an object detection frame type, a set of object proposals is detected in the individual frame, associations between the set of object proposals and a set of object tracks are assigned, and statuses of the set of object tracks are updated based on the assigned associations. Based on the individual frame being an object tracking frame type, single-object tracking is performed on the frame based on each object track of the set of object tracks and the set of object tracks is updated based on the performed single-object tracking. For each frame received, a real-time object location data stream is provided based on the set of object tracks.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a virtual objection distribution method are provided. One of the methods includes: performing an image scanning to a local environment of a user; conducting image identification to an acquired image; acquiring an electronic certificate from a server if an image identifier is identified in the image; saving the electronic certificate; and, in response to a determination that a category count of the received electronic certificates reaches the threshold, sending to the server a virtual object distribution request to cause the server to distribute a virtual object to the user. This method significantly increases interactivity and entertainingness of a virtual object distribution process.

Abstract: An “Adaptive Exposure Corrector” performs automated real-time exposure correction of individual images or image sequences of arbitrary length. “Exposure correction” is defined herein as automated adjustments or corrections to any combination of shadows, highlights, high-frequency features, and color saturation of images. The Adaptive Exposure Corrector outputs perceptually improved images based on image ISO and camera ISO capabilities in combination with camera noise characteristics via exposure corrections by a variety of noise-aware image processing functions. An initial calibration process adapts these noise aware image processing functions to noise characteristics of particular camera models and types in combination with particular camera ISO settings. More specifically, this calibration process precomputes a Noise Aware Scaling Function (NASF) and a Color Scalar Function (CSF).

Abstract: An “Adaptive Exposure Corrector” performs automated real-time exposure correction of individual images or image sequences of arbitrary length. “Exposure correction” is defined herein as automated adjustments or corrections to any combination of shadows, highlights, high-frequency features, and color saturation of images. The Adaptive Exposure Corrector outputs perceptually improved images based on image ISO and camera ISO capabilities in combination with camera noise characteristics via exposure corrections by a variety of noise-aware image processing functions. An initial calibration process adapts these noise aware image processing functions to noise characteristics of particular camera models and types in combination with particular camera ISO settings. More specifically, this calibration process precomputes a Noise Aware Scaling Function (NASF) and a Color Scalar Function (CSF).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a virtual objection distribution method are provided. One of the methods includes: performing an image scanning to a local environment of a user; conducting image identification to an acquired image; acquiring an electronic certificate from a server if an image identifier is identified in the image; saving the electronic certificate; and, in response to a determination that a category count of the received electronic certificates reaches the threshold, sending to the server a virtual object distribution request to cause the server to distribute a virtual object to the user. This method significantly increases interactivity and entertainingness of a virtual object distribution process.

Abstract: According to implementations of the subject matter described herein, there is provided an image colorization solution. The solution includes determining a similarity between contents presented in a grayscale source image and a color reference image and determining a col or target image corresponding to the source image based on the similarity. Specifically, a first and a second sets of blocks similar and dissimilar to the reference image are determined based on the similarity; a first color for the first set of blocks is determined based on a color of corresponding blocks in the reference image; a second color for the second set of blocks is determined independently of the reference image. Through this solution, it is possible to provide user controllability and customized effects in colorization, and there is no strict requirement on correspondence between the color image and grayscale image, achieving more robustness to selection of color reference images.

Abstract: A method of allocating virtual objects based on augmented reality (AR) includes displaying, by an AR client terminal of a receiving user, a live map associated with a location of the receiving user. The live map includes a target location to which a virtual object was bound by a distributing user. The AR client terminal of the receiving user scans an image of an environment of the target location. In response to determining that the scanned image includes a preset bound target, the AR client terminal of the receiving user receives information of the virtual object from a server terminal. The preset bound target is associated with the virtual object and the target location.

Abstract: In accordance with implementations of the subject matter described herein, there is proposed a solution of visual stylization of stereoscopic images. In the solution, a first feature map for a first source image and a second feature map for a second source image are extracted. The first and second source images correspond to first and second views of a stereoscopic image, respectively. A first unidirectional disparity from the first source image to the second source image is determined based on the first and second source images. First and second target images having a specified visual style are generated by processing the first and second feature maps based on the first unidirectional disparity. Through the solution, a disparity between two source images of a stereoscopic image are taken into account when performing the visual style transfer, thereby maintaining a stereoscopic effect in the stereoscopic image consisting of the target images.

Abstract: A method of allocating virtual objects based on augmented reality (AR) includes displaying, by an AR client terminal of a receiving user, a live map associated with a location of the receiving user. The live map includes a target location to which a virtual object was bound by a distributing user. The AR client terminal of the receiving user scans an image of an environment of the target location. In response to determining that the scanned image includes a preset bound target, the AR client terminal of the receiving user receives information of the virtual object from a server terminal. The preset bound target is associated with the virtual object and the target location.

Abstract: A method of allocating virtual objects based on augmented reality (AR) includes displaying, by an AR client terminal of a receiving user, a live map associated with a location of the receiving user. The live map includes a target location to which a virtual object was bound by a distributing user. The AR client terminal of the receiving user scans an image of an environment of the target location. In response to determining that the scanned image includes a preset bound target, the AR client terminal of the receiving user receives information of the virtual object from a server terminal. The preset bound target is associated with the virtual object and the target location.

Abstract: According to implementations of the subject matter, a solution is provided for visual style transfer of images. In this solution, first and second sets of feature maps are extracted for first and second source images, respectively, a feature map in the first or second set of feature maps representing at least a part of a visual style of the first or second source image. A first mapping from the first source image to the second source image is determined based on the first and second sets of feature maps. The first source image is transferred based on the first mapping and the second source image to generate a first target image at least partially having the second visual style. Through this solution, a visual style of a source image can be effectively applied to a further source image in feature space.

Abstract: In accordance with implementations of the subject matter described herein, there is provided a solution of image stylization based on a learning network. In this solution, a learning network is trained with a plurality of images and a reference image with a particular texture style. A plurality of different sub-networks of the learning network is trained, respectively. Specifically, one of the sub-networks is trained to extract one or more feature maps from the source image and transform the feature maps with the texture style applied thereon to a target image. Each of the feature maps indicates part of feature information of the source image. Another sub-network is trained to apply a specified texture style to the extracted feature maps, such that the target image generated based on the processed feature maps can embody the specified texture style.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a virtual objection distribution method are provided. One of the methods includes: performing an image scanning to a local environment of a user; conducting image identification to an acquired image; acquiring an electronic certificate from a server if an image identifier is identified in the image; saving the electronic certificate; and, in response to a determination that a category count of the received electronic certificates reaches the threshold, sending to the server a virtual object distribution request to cause the server to distribute a virtual object to the user. This method significantly increases interactivity and entertainingness of a virtual object distribution process.

Abstract: Systems and methods for displaying and associating context images with zones or devices of a security system or a home automation system are provided. Such systems and methods may include associating each of a plurality of zones or devices of the security system or the home automation system with a respective context image and displaying the respective context image for one of the plurality of zones or devices in response to a user interface of the security system or the home automation system receiving user input.

Abstract: A request for communicating with a first user is received by a second user. The request includes a first identification specific to the first user. The first identification is different from an account used by the first user in the communication. Based on a communication mapping associated with the first user, it is determined whether the second user is allowed to communicate with the first user using the first identification. The communication mapping indicates authorized users allowed to communicate with the first user and respective identifications allowed to be used by the authorized users. The account used by the first user in the communication is obtained to initiate the communication with the first user. The account used is obtained in response to determining that the second user is allowed to communicate with the first user using the first identification.

Abstract: A request for communicating with a first user is received by a second user. The request includes a first identification specific to the first user. The first identification is different from an account used by the first user in the communication. Based on a communication mapping associated with the first user, it is determined whether the second user is allowed to communicate with the first user using the first identification. The communication mapping indicates authorized users allowed to communicate with the first user and respective identifications allowed to be used by the authorized users. The account used by the first user in the communication is obtained to initiate the communication with the first user. The account used is obtained in response to determining that the second user is allowed to communicate with the first user using the first identification.

Abstract: Various embodiments herein each include at least one of systems, methods, and software for feature flow for video recognition. Such embodiments generally include a fast and accurate framework for video recognition. One example method includes receiving a first frame captured by an imaging device and designating the first frame as a key frame. The method may then generate at least one feature map to identify features in the key frame and subsequently receive a second frame. The method also includes designating the second frame as a current frame and applying a flow estimation algorithm to the key frame and current frame to generate a flow field representing a flow from the key frame to the current frame. The method then propagates each of the at least one feature maps based on the flow field to approximate current locations of features identified within each of the at least one feature maps.

Abstract: Various embodiments herein each include at least one of systems, methods, and software for feature flow for video recognition. Such embodiments generally include a fast and accurate framework for video recognition. One example method includes receiving a first frame captured by an imaging device and designating the first frame as a key frame. The method may then generate at least one feature map to identify features in the key frame and subsequently receive a second frame. The method also includes designating the second frame as a current frame and applying a flow estimation algorithm to the key frame and current frame to generate a flow field representing a flow from the key frame to the current frame. The method then propagates each of the at least one feature maps based on the flow field to approximate current locations of features identified within each of the at least one feature maps.