Abstract: Provided are a video processing method and apparatus, an electronic device, a storage medium and a program product. The method includes steps described below. A to-be-processed video is acquired, and a first face key point of a first target object in the to-be-processed video is recognized, where the first face key point corresponds to a mask key point in a three-dimensional human face mask special effect; and the three-dimensional human face mask special effect is added to video frames of the to-be-processed video to obtain a target video, where the mask key point in the three-dimensional human face mask special effect moves with the corresponding first face key point.

Abstract: Interruptions of user activity can cost time and money for organizations. Improved technology is needed for interruption and resumption management. A communication engine can monitor the task state of a user, receive an incoming matter, analyze the incoming matter with a classification model, compare the analyzed incoming matter with the priority of the task state of the user, and interrupt the user by providing the incoming matter to the user if the priority of the analyzed incoming matter is greater than the priority of the task state of the user. When the user would like to resume their interrupted task, the communication engine can provide an output refocus communication and automatically return the device software status to the task state of the user when the interruption occurred.

Abstract: The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.

Abstract: Systems and techniques that facilitate an augmented inspector interface with targeted, context-driven algorithms are provided. In various embodiments, a magnification component can magnify a portion of a medical image. In various embodiments, a recognition component can recognize an anatomical structure depicted in the portion of the medical image. In various embodiments, a recommendation component can recommend one or more sets of computing algorithms or computing operations related to the anatomical structure. In various embodiments, a menu component can display the one or more recommended sets of computing algorithms or computing operations in a drop-down menu.

Abstract: Systems and techniques that facilitate an augmented inspector interface with targeted, context-driven algorithms are provided. In various embodiments, a magnification component can magnify a portion of a medical image. In various embodiments, a recognition component can recognize an anatomical structure depicted in the portion of the medical image. In various embodiments, a recommendation component can recommend one or more sets of computing algorithms or computing operations related to the anatomical structure. In various embodiments, a menu component can display the one or more recommended sets of computing algorithms or computing operations in a drop-down menu.

Abstract: A digital pathology system for recording and displaying field of view portions that have been viewed in the context of developing a diagnosis for a pathology case. A whole slide image is presented with shading overlaid on the image illustrating those portions that have been viewed. Portions of the WSI that have received the pathologist's attention at different magnifications are marked with distinguishing hatching.

Abstract: Apparatus, systems, and methods to navigate through a set of z-stacked images are disclosed. An example apparatus includes a position tracker to track movement of a pointing device with respect to a set of z-stacked images, a momentum detector to identify momentum applied to the pointing device in a first interaction based on a speed of navigation through the set of z-stacked images and configure navigation through the set of z-stacked images in a momentum-based mode based on the speed of navigation through the set of z-stacked images, and a navigation mode detector to detect a second interaction with the pointing device and exit a navigation mode and enter a normal mode positioned at a slice in the set of z-stacked images based on the second interaction.