Abstract: In accordance with some embodiments of the disclosed subject matter, a method and a system for App page recommendation are provided. The method includes: based on social media contents generated by a user, establishing a parallel corpora comprising an implicit query database including a plurality of user implicit query texts, and an explicit query database including a plurality of user explicit query texts, wherein the plurality of user implicit query texts correspond to the plurality of user explicit query texts; receiving a voice user query from the user; converting the voice user query to a text query; extracting implicit intent text from the text query; inferring a user intent using the parallel corpora based on the extracted implicit intent text; ranking a plurality of App pages according to the inferred user intent; and recommending a subset of the plurality of App pages to the user based on the ranking.

Abstract: The present disclosure provides a method for grouping devices in a same place. A plurality of devices may be connected to a server. The devices may be classified two types based on mobility, including a stable device type and a mobile device type. One or more neighborhood devices associated with at least one stable device may be identified based on status information of the plurality of devices. The at least one stable device and the one or more neighborhood devices may respectively record an audio sample at a set time. A similarity score between the audio sample of the one or more neighborhood devices and the audio sample of the at least one stable device may be calculated. Further, one or more devices among the one or more neighborhood devices may be determined as in a same space as the at least one stable device based on the similarity score.

Abstract: The present disclosure provides a method for improving mobile-phone user experience (UX) design for multitasking with priority and layered structure, including: receiving data for opening a task; determining a priority ranking of the task; and executing the task and displaying the task on one of at least a portion of a screen area and in a task menu based on the priority ranking of the task. When a number of opened tasks is at least two, the opened tasks includes a major task having a highest priority ranking and a plurality of minor tasks having lower priority rankings, the major task being executed and displayed on at least a larger portion of the screen area.

Abstract: A method for a conversational recommender system includes receiving at least one user preference from a user, generating an abstract explanation reflecting the at least one user preference and based on the abstract explanation, and retrieving a list of items to be evaluated by the user from an item database. The items on the list have a relevance with the user preference. The method further includes determining an initial ranking order of the items to be evaluated by the user, and ranking the items to be evaluated by the user based on a random walk algorithm and the initial ranking order. Items not ranked are remaining items. The method further includes receiving a user feedback of the ranked item, and re-ranking the remaining items based on the user feedback of the ranked items and the random walk algorithm.

Abstract: A system and a method for enhancing target tracking via detector and tracker fusion for unmanned aerial vehicles (UAVs) are provided. The method comprises receiving at least one raw input image of objects to be detected; based on the at least one raw input image of objects, generating the objects' candidate information; based on the objects' candidate information, calculating location and velocity estimation of an object at a current timestamp based on a detector and tracker fusion; and based on the location and velocity estimation of the object at the current timestamp, predicting the location and velocity estimation of the object at a future timestamp.

Abstract: A method for personalized intelligent wake-up system based on multimodal deep neural network comprises monitoring a sleeping status of a user; obtaining a current sleeping-stage of the user within a current time frame and a prediction of a next sleeping-stage of the user for a next time frame; correcting the current sleeping-stage of the user through combining the current sleeping-stage and the prediction of the next sleeping-stage; determining a wake up strategy for the current time frame; determining a relationship between each of a plurality of alarm impulses adopted to wake up the user and a corresponding reaction of the user; identifying a change in the current sleeping-stage for the current time frame; determining an alarm impulse to be triggered for waking up the user; and triggering the determined alarm impulse.

Abstract: An information presentation method includes steps of providing a plurality of displays comprising a main screen and at least one picture-in-picture (PiP) window, the main screen having a first displaying region for displaying a first content in the first displaying region, and the at least one PiP window displaying a second content in at least a portion of the first displaying region; providing a surrounding display circumambiently located around the plurality of displays for displaying a third content; determining an immersive impact region and a non-immersive impact region in the plurality of displays; calculating an immersive effect (IE) of the plurality of displays; and displaying the first content or the second content on the immersive impact region and the non-immersive impact region with different intensities based on the IE.

Abstract: A face detection and tracking method of a robotic device. The method includes obtaining a video frame from a camera of the robotic device; performing a face detection process on the video frame to detect one or more faces in the video frame and, after the face detection process, identifying the detected one or more faces in the video frame. The method also includes performing a vision-based tracking process to track the identified one or more faces using a combination of a feature points tracker and a correlation tracker and, after the vision-based tracking process, performing a detection and tracking fusion process and providing desired target prediction of the identified one or more faces.

Abstract: The present invention discloses a method for recommending an image-based route. The method includes: obtaining a query image from a user; performing an interactive segmentation process to determine one or more contours of an object-of-interest in the query image; determining a route having the maximum area overlap with the one or more contours of the object-of-interest on a map image; generating an output image including the object-of-interest and the route having the maximum area overlap with the contours of the object-of-interest; and recommending the output image to the user, and sharing the output image on a social network platform.

Abstract: A method for scalable user intent mining is provided. The method includes detecting named entities from a plurality of query logs in a public query log dataset and generating features of the plurality of query logs based on the detected named entities. The method also includes applying a multimodal restricted boltzmann machine (RBM) on the generated features of the plurality of query logs to train a public multimodal RBM and generating a plurality of public query representations. Further, the method includes receiving a search query from a user, determining whether there are a plurality of history queries of the user. When there is no history query, user intent is predicted using the public multimodal RBM. When there are the history queries, the public multimodal RBM is applied on the plurality of history queries to train a personalized multimodal RBM, and the user intent is predicted using the personalized multimodal RBM.

Abstract: A method for a scalable storage-loss optimized (SSLO) system for color gamut mapping is provided. The SSLO system method comprises generating a pre-computed color gamut mapping between an input color gamut and an output color gamut, receiving an input signal including a plurality of input pixels from the input signal domain, wherein the input pixels correspond to a set of first color values represented in a first color space; converting the set of the first color values to be a set of second color values represented in a second color space; generating a set of third color values through a mapping modeling and a color reproduction; converting the set of the third color values to be a set of fourth color values represented in the first color space; and outputting an output signal including a plurality of output pixels corresponding to the fourth color values to the output signal domain.

Abstract: A unified attractiveness prediction method is provided. The method includes receiving a plurality of videos and extracting at least one of metadata and view data from each of the plurality of received videos, wherein the metadata is information for describing video contents, and the view data is a total number of users who watch the video. The method also includes obtaining potential view amounts of the plurality of received videos and calculating impact factor scores of the plurality of received videos based on the potential view amounts, each impact factor score including a numerical score for indicating a degree of effectiveness of a corresponding video. Further, the method includes providing a video with a highest impact factor score based on the calculated impact factor scores.

Abstract: A method for multimodal clue based personalized app function recommendation is provided. The method includes receiving an app search query from a user, obtaining a plurality of real-time clues collected from the user and extracting a plurality of features to represent the collected clues, wherein the plurality of features include structured features and text features. The method also includes generating a joint representation of the multimodal clues based on the plurality of extracted features and creating a logistic regression model based on the joint representation of the multimodal clues. Further, the method includes ranking a list of app functions using the logistic regression model and displaying the ranked app function list for the user.

Abstract: A binary TV system and a method for a binary TV system are provided. The binary TV system comprises a TV program managing module configured to acquire a user preference for TV programs, and generate messages of recommended actions to be performed by a TV; a content recommender module configured to analyze the user preference and generate a recommendation of TV programs matching the user preference; a channel monitoring module configured to monitor and recognize a current TV program a user is watching; an advertisements (Ads) detecting module configured to detect advertisements in a specific TV channel; and a TV controlling module configured to send the messages generated by the TV controlling module to the TV. The user and the TV is communicated with each other through a binary interaction.

Abstract: A method for sharing information among multiple devices is provided. The method includes a sensing device sensing signals of at least one object associated with a targeting device and extracting at least one feature of the object from the sensed signals. The method also includes the sensing device broadcasting the extracted feature of the object on a determined network containing a plurality of targeting devices and receiving feedbacks from the plurality of targeting devices on the network in response to the broadcasting. Further, the method includes the sensing device automatically identifying one of the plurality of targeting devices based on the received feedbacks, synchronizing information with the identified targeting device and displaying the information to a user of the sensing device.

Abstract: The present disclosure provides a method for a privacy-aware indoor drone exploration and communication framework, including: receiving a communication request for a target person from an outside caller; locating the target person in response to the communication request; establishing a video call between the target person and the outside caller to transmit images of the target person to the outside caller; and avoiding showing privacy areas and privacy objects in the indoor environment in the images of the target person to the outside caller during the video call.

Abstract: A content retrieval method including: extracting a plurality of fingerprints including a plurality of video fingerprints and audio fingerprints from contents stored in a content database; determining representative video fingerprints of the video frames and representative audio fingerprints of the audio sequences; determining a data rate indicating a storage limitation and a coverage indicating a number of searching results to be returned; storing selected representative video fingerprints and representative audio fingerprints based on the storage limitation indicated by the data rate in a fingerprint database; receiving a query containing at least one of video data and audio data submitted by a user; extracting at least one query fingerprint representing the query; determining a number of fingerprints most matching the query fingerprint based on the coverage to generate search results indicating matching contents represented by the number of most matching fingerprints; and returning the search results to the

Abstract: The present invention provides an information presentation system, comprising: a video module configured to obtain video content to be presented to a user; a network module configured to obtain certain information related to the video content including at least a first type of related information, a second type of related information, and a third type of related information; a first display configured to display the video content at a primary location in front of the user; one or more second displays configured to display the first type related information at the primary location outside the first display and to display the second type related information on a secondary location along the side of the primary location; an interactive display configured to interact with the user and display the third type related information; and a system controller configured to perform content assignments to the displays according to requirements from the user.

Abstract: The present invention provides a method for providing augmented product specifications based on user reviews. The method obtains input data of specifications and user reviews on a plurality of products, each specification including at least a pair of a feature and a feature-value of the product. The method concatenates the user reviews of the products to form product-documents, each product-document corresponding to the concatenated user reviews of a product. The method further employs a topic model to process the input data and learn topic distributions in the product-documents and word distributions in topics. The topics include specifications of the products. The topic model is a type of statistical model for discovering topics that occur in a collection of product-documents. Based on the topic model, the method can provide augmented specifications including one or more of relevant sentences of the feature-value, feature importance information, and product-specific words of the product.

Abstract: A method for a mobile search-ready smart display system containing a smart display having a screen and at least one mobile device having a camera including extracting a plurality of video fingerprints from an ongoing content displayed on the screen. The ongoing content has video frames corresponding to the video fingerprints; determining one or more representative video fingerprints of the video frames from the plurality of video fingerprints; generating one or more encoded representative video fingerprints through encoding the one or more representative video fingerprints into a pixel translucency change; and delivering the one or more encoded representative video fingerprints via a screen-camera communication. The method also includes optimizing the encoding of the one or more representative video fingerprints and the delivering of the one or more encoded representative video fingerprints to find a balance between an error resilience and transmission time.