Abstract: The present disclosure describes techniques of providing data consistency for hybrid transactional and analytical processing. Logical logs and log serial numbers (LSNs) associated with the logical logs may be generated based on data captured by a first processing engine. The logical logs and the LSNs may be propagated to a storage subsystem configured to be in communication with the first processing engine and a second processing engine. The LSNs and information indicative of LSN schema versions may be stored and distributed by a metadata service. The first processing engine, the second processing engine, the storage subsystem and the metadata service are modularized, and support a LSN mechanism for maintaining data consistency.

Abstract: The present disclosure describes techniques for synchronizing multiple instances of projects. At least one Transmission Control Protocol (TCP) connection may be established between a server computing device and at least one client computing device. At least one dual instance command may be created. The at least one dual instance command comprises data associated with a project and information indicating how to interpret the data. A plurality of instances of the project may be synchronized between the server computing device and the at least one client computing device by transmitting the at least one dual instance command between the server computing device and the at least one client computing device via the at least one TCP connection.

Abstract: A text display method, a text display apparatus, an electronic device and a storage medium are disclosed. A real scene image and a to-be-displayed text are acquired, motion track data for texts is invoked, the to-be-displayed text is processed with a dynamic special effect, and the text which has been subject to the dynamic special effect processing is displayed on a real scene image, thus realizing a function of displaying a text with dynamic special effect in augmented reality display, making the text display effect more vivid. The display method can be widely used in various application scenarios to bring users a better visual and sensory experience.

Abstract: A video distribution system, method, and a storage medium, the system including: at least one database storing a plurality of videos; a computing device communicatively connected with the at least one database and configured to: classify the plurality of videos into a plurality of categories based on attributes associated with the plurality of videos; determine a plurality of cover images; send the plurality of cover images to a user equipment, so that the plurality of cover images are at least partially superimposedly displayed on a first video being played; select a first image from the plurality of cover images in response to a first user input; automatically select a second video from a first category corresponding to the first image; acquire the second video from the at least one database; and send at least a part of the second video to the user equipment to play the second video.

Abstract: Systems and methods for performing neural architecture search are provided. In one aspect, the system includes a processor configured to select a plurality of candidate neural networks within a search space, evaluate a performance of each of the plurality of candidate neural networks by: training each candidate neural network on a training dataset to perform the predetermined task and determining a ranking metric for each candidate neural network based on an objective function. The ranking metric includes a weight-related metric that is determined based on weights of a prediction layer of each respective candidate neural network before and after the respective candidate neural network is trained. The processor is configured to rank the plurality of candidate neural networks based on the determined ranking metrics.

Abstract: Protecting data privacy in secure multi-party computation and communication is provided. A method of protecting data privacy includes determining a differential privacy configuration, determining a number of iterations based on a first parameter and a second parameter, and for each of the number of iterations generating a random value and a random noise data; generating a first message and a second message; and performing a transfer based on the first message, the second message, and an input data to output one of the first message and the second message. The method also includes generating a first noise data based on the random noise data in each of the number of iterations, generating a first share based on a first dataset and a second dataset, applying the first noise data to the first share, and constructing a result based on the first share and a second share.

Abstract: Systems and methods directed to rendering a dynamic eyelash attachment to an eye identified in a video are described. In examples, a dynamic eyelash template may be applied to a video, where the dynamic eyelash template configures an eyelash skeleton that includes eyelash skeleton branches. Further, the video with one or more video frames may be received such that eye keypoints associated with a shape of the eye in the video frames can be identified. Accordingly, the eyelash skeleton branches may be attached to areas corresponding to eye keypoints based on the dynamic eyelash template. A three-dimensional rotation of the eyelash skeleton branches may be configured to conform to the shape of the eye defined by the eye keypoints during an eye movement. Thus, a dynamic effect can be added to the eyelash skeleton to allow the eyelash skeleton branches to rotate and bounce during the eye movement.

Abstract: Methods, systems and storage media for applying a pattern application effect to one or more frames of video are disclosed. Some examples may include: obtaining video data including one or more video frames, determining one or more segments in each of the one or more video frames, determining one or more object masks based on the one or more segments in each of the one or more video frames, combining, the one or more object masks into a single mask, obtaining pattern information, the pattern information representing one or more graphical effects to be applied to at least one layer of the one or more video frames, applying the pattern information to the single mask to generate masked pattern information and generating, by the computing device, a rendered video by adding the masked pattern information to the one or more video frames.

Abstract: A method for generating a user interface is described. A script file for a software component is received, the software component being configured by source code that specifies a plurality of variables for the software component. The script file is parsed for markup language that describes a graphical user interface for the plurality of variables of the software component. A graphical user interface for modifying values of the plurality of variables of the software component is automatically generated using the markup language.

Abstract: Systems, methods and apparatus for processing visual media data are described. One example method includes performing a conversion between visual media data and a visual media file that includes one or more tracks that store one or more bitstreams of the visual media data according to a format rule; wherein the visual media file includes an operating point record and an operating point group box, and wherein the format rule specifies to include, for each operating point indicated in the visual media file, in the operating point record and the operating point group box, a first element indicative of a chroma format, a second element indictive of a bit depth information, a third element indicative of a maximum picture width, and/or a fourth element indicative of a maximum picture height.

Abstract: Protecting membership in secure multi-party computation and communication is provided. A method of protecting membership includes generating a padding dataset, up-sampling a first dataset with the padding dataset, transforming and dispatching the first dataset, receiving a second dataset, and performing a private set intersection operation based on the first dataset and the second dataset to generate a third dataset. Each of the first dataset, the padding dataset, and/or the second dataset includes one or more personal identification information for each user or member in the dataset.

Abstract: Implementations of the present disclosure provide a solution for image/video processing. In this solution, an intermediate image can be obtained from an LR image. Then, a smooth value associated with an image block in the intermediate image could be determined based on a gradient of a target pixel in the image block. Further, an HR image can be generated from the intermediate image based on the smooth value. In this way, the filtering process can be performed based on a smooth value of an image block, thereby improving the efficiency of image/video processing and lowering down the computational and memory costs.

Abstract: Methods and systems for protecting membership privacy in multi-identification secure computation and communication are provided. The method includes providing a dataset having a first set of membership identifications and a second set of membership identifications, determining a number N based on a data privacy configuration, generating and shuffling a first padding dataset, and up-sampling the first set of membership identifications with a first N elements of the shuffled first padding dataset. The method also includes inserting a first N random membership-identification elements to the second set of membership identifications, generating and shuffling a second padding dataset, up-sampling the inserted second set of membership identifications with a first N elements of the shuffled second padding dataset. The method further includes performing an intersection operation based on the up-sampled dataset and a received dataset.

Abstract: Methods and systems for secure computation and communication are described herein. The method includes transforming identifications of a first dataset using a transforming scheme, dispatching the transformed identifications of the first dataset, receiving identifications of a second dataset, transforming the identifications of the second dataset, dispatching the transformed identifications of the second dataset, receiving a set of identifications, generating a first intersection of the received set of identifications and the transformed identifications of second dataset, and determining a first permutation based on the first intersection. The method also includes performing an oblivious shuffling based on the first permutation and a set of attributions to generate a first share. A size of the first share is the same as a size of the first intersection. The method further includes receiving a second share and constructing a first result based on the first share and the second share.

Abstract: Techniques for face tracking comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

Abstract: The present disclosure describes techniques of detecting objects in a video. The techniques comprises extracting features from each frame of the video; generating a first attentive feature by applying a first attention model on at least some of features extracted from any particular frame among the plurality of frames, wherein the first attention model identifies correlations between a plurality of locations in the particular frame by computing relationships between any two locations among the plurality of locations; generating a second attentive feature by applying a second attention model on at least one pair of features at different levels selected from the features extracted from the particular frame, wherein the second attention model identifies a correlation between at least one pair of locations corresponding to the at least one pair of features; and generating a representation of an object included in the particular frame.

Abstract: Provided are a processing method and apparatus, an electronic device and a medium. The method includes steps described below. A target video is acquired; video information of the target video is determined; copy information corresponding to the video information is generated by using a video description model, where the copy information is generated by using the video description model and based on a task prompt and a copy keyword. Through this method, the video description model is constrained based on the task prompt and the copy keyword, so that the copy information of the target video is generated more accurately, and the coupling degree between the copy information and the target video is improved.

Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

Abstract: Methods, systems, apparatus for media processing are described. One example method of digital media processing includes determining, for a conversion between visual media data and a bitstream of the visual media data, how to apply one or more convolutional neural network filters to at least some samples of a video unit of the visual media data according to a rule; and performing the conversion based on the determining.