Abstract: Provided is a method, apparatus, system, and/or computer readable medium for providing a map service. The map providing method may include extracting region information attached to a posting in response to an execution of a storage capability or a sharing capability by a user to the posting displayed on a page accessible to a computer, storing address information of the posting and the extracted region information associated with the user, and displaying a point of interest corresponding to the region information on a map service screen associated with the user.

Abstract: A loudness normalization method includes receiving data for playback of content from a server in response to a user's request to play back the content; normalizing the loudness of the content by adjusting the volume output level of a player using volume level metadata of the content included in the received data; and providing the content by playing audio of the content based on the adjusted volume output level of the player.

Abstract: An electronic device for tagging an event in a sports play video, and an operating method thereof. Various embodiments may include mapping text broadcasting data and a sports play video based on an event occurring during sports play, detecting a tagging location of the event in the sports play video, and displaying an indicator for the tagging location of the event in the progress bar of the sports play video.

Abstract: Provided are a method and apparatus for providing image playing rate information. The method including receiving, from a user terminal, a target image request signal, transmitting, to the user terminal, a target image in a first state or the target image in a second state, based on whether the target image request signal satisfies a specified standard, obtaining, from the user terminal, state information and image playing information of the target image for each specified time, and providing user-wise playing rate information of the target image, based on the state information and image playing information of the target image may be provided.

Abstract: A method for playing back streaming content according to an embodiment may include a step in which a streaming player client sets an initial bitrate for a player module playing back streaming content; a step in which the streaming player client delivers, from the player module to a streaming server, a manifest file request for the streaming content; a step in which a local proxy server edits the manifest file delivered from the streaming server, the manifest file being edited on the basis of the set initial bitrate; and a step in which the local proxy server delivers the edited manifest file to the player module through the streaming player client.

Abstract: A navigating device includes: a camera configured to capture images within a field of view, the field of view depicting a scene including humans; a feature module configured to generate feature vectors based on the scene of humans in the images and to specify latent vectors that summarize movement of the humans in the scene based only on the camera images, the feature vectors summarizing the movement of the humans in the scene, and the latent vectors capturing a latent representation of trajectories in the scene of humans; a policy module configured to generate actions to be taken by the navigating device to navigate the scene of humans based on the feature vectors; and a propulsion control module configured to control one or more propulsion devices of the navigating device based on the actions to be taken generated by the policy module to navigate the scene of humans

Abstract: A system includes: a training dataset including first objects of a first modality and second objects of a second modality different than the first modality, where the second objects include text that is descriptive of the first objects; a first matrix including first relevance values indicative of relevance between the first objects and the second objects, respectively; a second matrix including second relevance values indicative of relevance between the second objects and the first objects, respectively; and a training module configured to: assign ones of the second objects to bins based on distances between the ones of the objects and a query; determine a ranking measure based on a number of the ones of the second objects assigned to the bins; determine losses based on the ranking measure and the first and second matrices; determine a final loss based on the losses; train embedding functions based on the final loss.

Abstract: A method for generating enriched training data for a multi-source transformer neural network for generation of a summary of one or more passages of input text comprises creating, from a plurality of input text sets, training points each comprising an input text subset of the input text set and a corresponding reference input text from the input text set, wherein the size of the input text subset is a predetermined number. Control codes are selected based on reference features corresponding to categorical labels of reference texts in the created training points. The input text is enriched with the selected control codes to generate enriched training data.

Abstract: A confidence estimation system includes: a neural network including at least one an attention module including N heads configured to: generate attention matrices based on interactions between tokens for words in an input sequence of words, the input sequence of words including a word that is obscured; and determine the word that is obscured in the input sequence; and a confidence module configured to determine a confidence value indicative of a probability of the neural network correctly determining the word that is obscured, the confidence module determining the confidence value of the word that is obscured using a convolutional neural network that projects the attention matrices generated by the attention module over a multi-dimensional space, the attention matrices recording interactions between the tokens in the input sequence of words without information regarding the tokens for the words and the word that is obscured.

Abstract: In methods and systems for providing information to a user relating to a point-of-interest (POI), a query is received via a communication network. A processor receives information relating to at least one POI based on the received query. The retrieved information comprises a set of retrieved POI tips relating to the POI. Each of the set of retrieved POI tips is previously extracted from POI free-text reviews and respectively associated in the data storage with one or more semantic categories based on a predefined tip ontology. The processor generates a user interface interactively displaying the retrieved POI tips and the semantic categories associated with each of the POI tips. The displayed POI tips are sorted by their associated displayed semantic categories. The generated user interface is transmitted to a computing device for display.

Abstract: A computer-implemented method includes: obtaining a pair of images depicting a same scene, the pair of images including a first image with a first pixel grid and a second image with a second pixel grid, the first pixel grid different than the second pixel grid; by a neural network module having a first set of parameters: generating a first feature map based on the first image; and generating a second feature map based on the second image; determining a first correlation volume based on the first and second feature maps; iteratively determining a second correlation volume based on the first correlation volume; determining a loss for the first and second feature maps based on the second correlation volume; generating a second set of the parameters based on minimizing a loss function using the loss; and updating the neural network module to include the second set of parameters.

Abstract: A method and system for editing a video on the basis of a context obtained using artificial intelligence. According to an embodiment of the present invention, the method for editing a video may comprise the steps of: establishing a plurality of contexts for an input video by analyzing the video through an artificial intelligence model, and taking, from the video, a plurality of clips corresponding to the established plurality of contexts; generating a user interface through which to receive a certain context selected from the plurality of contexts; providing, through the generated user interface, a plurality of clips that has been taken from the video for the context selected from the plurality of contexts through the generated user interface; and generating a highlight image for the selected context for the video by merging clips together that have been selected from the plurality of clips provided through the user interface.

Abstract: A method for automatically generating, in real-time, for display on a display, a simplified network layout from an initial network layout including one or more lines each connecting a plurality of nodes. Graph information is provided indicating vertices representing geographic positions of the nodes and edges representing connections between the nodes. The nodes are repositioned to optimize an objective function based on readability of the simplified network layout. Nodes and edges are discretized using interpolation to align a plurality of the nodes and connect the aligned nodes using simplified k-linear segments, where k-linear segments are parallel to one of k equidistant orientations whose angles are multiples of 180/k degrees, with k larger or equal to two. The simplified network layout is provided for a display.

Abstract: A training system includes: a training dataset including first objects of a first modality and second objects of a second modality that are associated with the first objects, respectively; a first matrix including first relevance values indicative of relevance between the first objects and the second objects, respectively; a second matrix including second relevance values indicative of relevance between the second objects and the first objects, respectively; and a training module configured to: based on similarities between ones of the second objects, generate a third matrix by selectively adding first additional relevance values to the first matrix; based on the similarities between the ones of the second objects, generate a fourth matrix by selectively adding second additional relevance values to the second matrix; and store the third and fourth matrices in memory of a search module for cross-modal retrieval in response to receipt of search queries.

Abstract: Method and apparatus for analyzing an online behavior of a user accessing a web server include: collecting, when a user terminal accesses a web server and forms a session, log data corresponding to a behavior performed by the user terminal in the session in real time; detecting log data corresponding to a trigger log among the log data; extracting, when the trigger log is detected, log data cumulated up to a detection time point of the trigger log from a start time point of the session and generating cumulative log data; and performing pattern analysis on the cumulative log data and generating behavior information corresponding to the behavior of the user terminal.

Abstract: Provided are a method and apparatus for generating a bundle invitation link. The method includes obtaining a plurality of invitation links from a first user terminal, each of the plurality of invitation links being connected to at least one community, generating a bundle invitation link connected to a detail page, the detail page including the plurality of invitation links, transmitting the bundle invitation link to a second user terminal, causing a display of the second user terminal to display the detail page in response to receiving, from the second user terminal, an input corresponding to the bundle invitation link, and receiving a data pair from the second user terminal, the data pair including at least one invitation link and an identification value of the second user terminal, and the at least one invitation link being selected from among the plurality of invitation links included in the detail page.

Abstract: A summarization system includes: K embedding modules configured to: receive K blocks of text, respectively, of a document to be summarized; and generate K first representations based on the K blocks of text, respectively, where K is an integer greater than 2; a first propagation module configured to generate second representations based on the K first representations; a second propagation module configured to generate third representations based on the second representations; an output module configured to select ones of the K blocks based on the third representations; and a summary module configured to generate a summary of the document from text of the selected ones of the K blocks.

Abstract: An autonomous system includes: a first semantic segmentation model trained based on a training dataset including images and labels for the images, the first semantic segmentation model configured to generate a first segmentation map based on an image from a camera; a second semantic segmentation model of the same type of semantic segmentation model as the first semantic segmentation model, the second semantic segmentation model configured to generate a second segmentation map based on the image from the camera; an adaptation module configured to selectively adjust one or more first parameters of the second semantic segmentation model; and a reset module configured to: determine a first total number of unique classifications included in the first segmentation map; determine a second total number of unique classifications included in the first segmentation map; and selectively reset the first parameters to previous parameters, respectively, based on the first and second total numbers.

Abstract: A speed estimation system includes: a detection module configured to determine bounding boxes of an object moving on a surface in images, respectively, captured using a camera; a solver module configured to, based on the bounding boxes, determine a homography of the surface by solving an optimization problem, where the solver module is not trained; and a speed module configured to, using the homography, determine a speed that the object is moving on the surface.