Abstract: A method and device for reversible story are provided. The method includes: when presenting a media stream of a current story, detecting a request performed by a user for generating an alternative story corresponding to the current story; in response to the request for generating the alternative story, determining a target path in a hyperstory, the hyperstory including multiple paths corresponding to multiple stories that describe different status change trends of one or more story characters, and the target path sharing a same initial segment with a path of the current story in the hyperstory and including a branch point where a story trend change occurs; determining a media stream of the alternative story according to the target path; and presenting the media stream of the alternative story.

Abstract: An experience-aware anomaly processing system and a method for an experience-aware anomaly processing system are provided. The experience-aware anomaly processing system comprises an anomaly detection module configured to receive geographic location data with corresponding time information of a target object, and analyze target object behavior based on the geographic location data with corresponding time information of the target object; a user feedback module configured to receive user feedback from a user and model user feedback behavior when the user receives an alarm message indicating the target object is abnormal; and a decision module configured to receive user setting from the user, and make a detection decision through fusing target object behavior information corresponding to the target object behavior, user feedback behavior information corresponding to the user feedback behavior, and the user setting.

Abstract: A script-to-movie generation method for a computing device includes obtaining a movie script, generating a video according to the movie script, optimizing the generated video until a pass condition is satisfied, and outputting the optimized video.

Abstract: A context-aware method for answering a question about a video includes: receiving the question about the video that is paused at a pausing position; obtaining and analyzing context information at the pausing position of the video, the context information including supplementary materials of the video; and automatically searching an answer to the question based on the context information at the pausing position of the video.

Abstract: A method and device for implementing Write-A-Movie technology. The method includes: obtaining a screenplay of a movie; generating, according to the screenplay, an action list by performing natural language processing (NLP) on the screenplay, the action list comprising a plurality of actions with attributes, the attributes of each action including a subject, a predicate, and a location of the action; rendering, according to the action list, three-dimensional (3D) data in 3D scenes of the movie, the 3D data reflecting, for each action, the subject performing the action at the location in a corresponding 3D scene; determining camera sequence of cameras for shooting two-dimensional (2D) frames in the 3D scenes by performing an auto-cinematography optimization process; and generating a 2D video of the movie by combining the 2D frames shot by the cameras based on the determined camera sequence.

Abstract: A method for interactive video presentation includes: obtaining, by an electronic device, video data corresponding to a story; presenting, through a display interface, a portion of the video data corresponding to a selected storyline path of the story; receiving, by the input interface, a user request for switching between a two-dimensional (2D) video streaming mode and a three-dimensional (3D) exploration mode; and in response to the user request being switching from the 2D video streaming mode to the 3D exploration mode: acquiring, by the processor, 3D video scenes with exploration options for an avatar, the 3D video scenes matched to a current story status and currently presented video data; and presenting, through the display interface, the 3D video scenes with the exploration options.

Abstract: A method for generating speech animation from an audio signal includes: receiving the audio signal; transforming the received audio signal into frequency-domain audio features; performing neural-network processing on the frequency-domain audio features to recognize phonemes, wherein the neural-network processing is performed using a neural network trained with a phoneme dataset comprising of audio signals with corresponding ground-truth phoneme labels; and generating the speech animation from the recognized phonemes.

Abstract: A method of generating video in three-dimensional animation environment is provided. The method includes: obtaining and translating directorial hints for making a 3D animated movie based on user input; determining camera configurations in a 3D environment according to the directorial hints; establishing a camera search space that includes multiple candidate cameras to be used at different timestamps to shoot one or more scenes of the movie based on the camera configurations; performing editing optimization based on the camera search space and the directorial hints, to obtain an edited video. The editing optimization is formalized into a process of finding a path with minimum cost in a graph model, each path describing a candidate camera sequence for producing the movie, and at least some of the directorial hints are translated into cost functions of the graph model. The edited video is output as the produced 3D animated movie.

Abstract: An interaction method includes receiving an interaction indicating a user's wish, interpreting the interaction to obtain an interpreted wish, identifying a realization story in a hyperstory according to the interpreted wish, sending a feedback message indicating a time the user's wish will be realized and a response-to-wish confidence level, generating a realization video according to the realization story, and outputting the realization video.

Abstract: A method for making a zoomable user interface for a television (TV) comprises the steps of: assigning a plurality of tags to a video title; collecting tags of a plurality of video titles of a video group; building a tag-relationship map based on a relationship of the tags, wherein the tag-relationship map represents a hierarchical structure of the tags in the video group; building a plurality of tag trees based on the hierarchical structure of the tags; calculating each total distance of each of the plurality of tag trees, wherein the total distance of the tag tree is a sum of distances from a root node to all nodes in the tag tree; and displaying the zoomable user interface having a minimum value of the total distance of the tag tree.

Abstract: A method for displaying digital content in an interactive navigation interface is provided. The method includes: displaying a plurality of top-level category groups on a display screen; receiving a user pointing operation selecting one of the top-level category groups from a remote controller; providing visual feedback for the selected top-level category group; and in response to a zoom-in operation on the selected top-level category group received from the remote controller, displaying a plurality of digital content objects within the selected top-level category group.

Abstract: A privacy reserving camera including a frame buffer, an object detection and tracking module, an object identification module, an instance segmentation module and an object removal and inpainting module. The frame buffer stores frames of a video stream captured by the privacy preserving camera. The object detection and tracking module detects a moving object in the video stream. The object identification module determines whether the moving object is a privacy protecting object. The instance segmentation module parses the moving object in the video stream. The object removal and inpainting module removes at least a portion of the moving object from the video stream, fills an area of the removed moving object in the video stream with a compensated patch from a neighbor frame of the video stream, and outputs a modified video stream having at least a portion of the moving object replaced with the compensated patch.

Abstract: A method is provided for recommending a desired func sequence schedule to a user. The method includes obtaining at least one user intention inputted by the user; creating a func sequence including a plurality of funcs for fulfilling the user intention; and determining user preference on scheduling of the plurality of funcs in the func sequence. The method also includes determining a dependency relationship among the plurality of funcs in the func sequence; and determining scheduling constraints to the scheduling of the plurality of funcs in the func sequence. The method further includes, based on the user preference, the dependency relationship, and the scheduling constraints, performing an optimization process to determine a desired schedule for the plurality of funcs in the func sequence to fulfill the user intention; and recommending the func sequence with the desired schedule to the user.

Abstract: A method for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks is provided. The method comprises receiving a set of raw sensory data of a user's sleeping status; translating the set of raw sensory data into a plurality of sleeping stages; saving the plurality of sleeping stages as a history of sleeping stages; determining a current sleeping stage; predicting a plurality of future sleeping stages of the user in an upcoming interval; calculating a wakeup score of the current sleeping stage and a wakeup score of each future sleeping stage; determining an optimized sleeping stage for wake up based on the wakeup score through comparing the wakeup score of the current sleeping stage and the wakeup scores of the future sleeping stages; and triggering an alarm impulse to wake up the user at the optimized sleeping stage for wake up.

Abstract: A method for an app search engine leveraging user reviews is provided. The method includes receiving an app search query from a user, determining a plurality of relevant apps based on the received app search query, and extracting app descriptions and user reviews associated with the plurality of relevant apps from an app database. The method also includes preprocessing the extracted app descriptions and user reviews of each of the plurality of relevant apps to generate a text corpus and creating a topic-based language model for each of the plurality of relevant apps based on the generated text corpus. Further, the method includes ranking a list of relevant apps using the topic-based language model and providing the ranked app list for the user.

Abstract: A method is provided for providing desired application usage experience to a user on a user device. The method includes automatically converting a plurality of App pages into FUNC descriptors to be stored, wherein each FUNC descriptor includes at least non-functional properties of a FUNC, capability of the FUNC, and an interface of the FUNC to invoke the FUNC. The method also includes obtaining at least one user intention inputted by the user; determining at least one FUNC descriptor from the FUNC descriptors for fulfilling the user intention; recommending to the user with at least one FUNC corresponding to the at least one FUNC descriptor by rendering the at least one FUNC descriptor on the user device; and invoking the at least one FUNC directly from the user device without going through a launching page of an App page providing the at least one FUNC.

Abstract: The present disclosure provides a method and device for visual appearance based person identity inference. The method may include obtaining a plurality of input images. The input images include a gallery set of images containing, persons-of-interest and a probe set of images containing person detections, and one input image corresponds to one person. The method may further include extracting N feature maps from the input images using a Deep Neural Network, N being a natural number; constructing N structure samples of the N feature maps using conditional random field (CRF) graphical models; learning the N structure samples from an implicit common latent feature space embedded in the N structure samples; and according to the learned structures, identifying one or more images from the probe set containing a same person-of-interest as an image in the gallery set.

Abstract: A system and a method for vision-based self-stabilization by deep gated recurrent Q-networks (DGRQNs) for unmanned arial vehicles (UAVs) are provided. The method comprises receiving a plurality of raw images captured by a camera installed on a UAV; receiving an initial reference image for stabilization and obtaining an initial camera pose from the initial reference image; extracting a fundamental matrix between consecutive images and estimating a current camera pose relative to the initial camera pose, wherein the camera pose includes an orientation and a location of the camera; based on the estimated current camera pose, predicting an action to counteract a lateral disturbance of the UAV based on the DGRQNs; and based on the predicted action to counteract the lateral disturbance of the UAV, driving the UAV back to the initial camera pose.

Abstract: In accordance with some embodiments of the disclosed subject matter, a method and a system for recommending and sharing customized multimedia route planning are provided. The method includes: receiving a query image from a user, the query image containing an object-of-interest of the user, performing an integrative segmentation process to determine one or more contours of the object-of-interest in the query image; determining a route having a maximum area overlap with the one or more contours of object-of-interest on a map image; generating an output image including the object-of-interest and the route; and recommending the output image to the user, and sharing the output image on a social network platform.