309 patents
Page 13 of 16
Utility
User command processing method and system for adjusting output volume of sound to be output, on basis of input volume of received voice input
21 Dec 20
Provided is a user command processing method and system for adjusting an output volume of a sound to be output on the basis of an input volume of a received voice input.
Myeongsoo Shin
Filed: 7 Nov 19
Utility
Electronic Apparatus for Recognizing Multimedia Signal and Operating Method of the Same
16 Dec 20
Disclosed are an electronic apparatus for recognizing a multimedia signal and an operating method of the electronic apparatus, including segmenting a detection signal into a plurality of frames; segmenting each of the frames into a plurality of blocks; and representing each of the blocks as a hash word based on a time feature and a frequency feature for each of the blocks.
Jisu JEON, Dong Hwan KIM, Dong Woo SUH, Dae Hwang KIM, Jongeun PARK
Filed: 10 Jun 20
Utility
Electronic Apparatus for Dynamic Note Matching and Operating Method of the Same
16 Dec 20
Disclosed are an electronic apparatus for dynamic note matching (DNM) and an operating method thereof, the method including acquiring a first section sequence by reducing a first sequence extracted from an input signal based on at least one first section in which the respective values are successively arranged; acquiring a second section sequence reduced from a pre-stored second sequence based on at least one second section in which the respective values are successively arranged; and calculating a similarity between the first section sequence and the second section sequence.
Inyong KOO, Je Kyun PARK, Jisu JEON, Jongeun PARK
Filed: 9 Jun 20
Utility
System and method for training a convolutional neural network and classifying an action performed by a subject in a video using the trained convolutional neural network
14 Dec 20
A method for training a convolutional neural network for classification of actions performed by subjects in a video is realized by (a) for each frame of the video, for each key point of the subject, generating a heat map of the key point representing a position estimation of the key point within the frame; (b) colorizing each heat map as a function of the relative time of the corresponding frame in the video; (c) for each key point, aggregating all the colorized heat maps of the key point into at least one image representing the evolution of the position estimation of the key point during the video; and training the convolutional neural network using as input the sets associated to each training video of images representing the evolution of the position estimation of each key point during the video.
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid
Filed: 19 Mar 19
Utility
Method for Preprocessing a Set of Feasible Transfers for Computing Itineraries In a Multimodal Transportation Network
2 Dec 20
A method for preprocessing a set of feasible transfers within a multimodal transportation network of predetermined stations, comprising, for each trip in the multimodal transportation network hereafter called origin trip: (a) for each station (pti) of the origin trip (t), computing at this station (pti) an earliest arrival/change time associated with all transportation modes (m) of the multimodal transportation network; (b) for at least one transfer of the set of feasible transfers from a station (pti) on the origin trip (t) to a reachable station (puj) on a target trip (u), computing, at each station (puk>j) of the target trip (u) after the reachable station (puj), a value of the earliest arrival/change time specifically associated with the transportation mode (mu) of the multimodal transportation network used by the target trip (u); (c) removing the transfer only if determining that each computed value of the earliest arrival/change time is not improved by the transfer; (d) outputting the set of feasible transfers for computing at least one itinerary in the multimodal transportation network; and (e) performing a routing optimization algorithm so as to build, among the itineraries having a main part from an initial trip belonging to the set of possible initial trips to a final trip belonging to the set of possible final trips, at least one optimal itinerary according to the earliest arrival time and the number of transfers or the latest departure time and the number of transfers, when considering only trips from the set of possible trips using the selected transportation modes, and only transfers from the subset of feasible transfers between considered trips.
Vassilissa Lehoux-Lebacque, Darko Drakulic
Filed: 25 Mar 20
Utility
System and Method for Generating Origin-independent Access Maps
2 Dec 20
A method includes: selecting a set of access points in a focus zone that identifies an area around the travel destination; determining access paths through one or more access points in the set of selected access points; listing crossings that the access paths pass through; for each of the listed crossings: determining a probability that the listed crossing is passed through by an access path; determining at least one complexity score of the listed crossing; determining a set of points of interest (POIs) along access paths passing through the listed crossing; and determining quality scores for the POIs, respectively, the quality score of one of the POIs reflecting a utility of that one of the POIs to facilitate orientation; selecting POIs from the set of POIs based on the quality scores; generating the access map including the access paths and the selected POIs; and outputting the access map.
Jutta WILLAMOWSKI, Antonietta GRASSO, Yves HOPPENOT, Michel LANGLAIS
Filed: 19 Mar 20
Utility
Method for preprocessing a set of non-scheduled lines within a multimodal transportation network of predetermined stations and for computing at least one itinerary
2 Dec 20
A method preprocesses a set of non-scheduled lines within a multimodal transportation network of predetermined stations, by (a) for each non-scheduled line (l) of the set of non-scheduled lines, associating, to each station (plj) of a sequence of stations ({right arrow over (p)}(l)) defining the non-scheduled line (l), at least one time interval (I(l,j)) during which a trip on the non-scheduled line (l) can depart from the station (plj); (b) for each first station (plj) of a non-scheduled line (l) which is reachable from a second station (pti) of a scheduled line, adding to a set of feasible transfers between a scheduled line and a non-scheduled line, if there exists a trip (t) on the scheduled line such that a departure time at the first station (plj) after transferring is compatible with the at least one time interval (I(l,j)) associated to the first station (plj), the earliest transfer from the second station (pti) on the trip (t) to the first station (plj); and (c) outputting the set of feasible transfers between a scheduled line and a non-scheduled line for computing at least one itinerary in the multimodal transportation network.
Vassilissa Lehoux-Lebacque, Darko Drakulic
Filed: 25 Mar 20
Utility
Method, system, and recording medium for notifying reception of message
30 Nov 20
Provided are a message reception notifying method, system, and non-transitory computer-readable recording medium.
YungSeong Lee, HyeonJi Jeon, Sun Young Park, KeonSu Lee, MunHyun Joo, ByoungSeung Lee, Hak Jin Doh, KiDoo Han, Chan Hyuk Sung, MyongWon Seo, Jeong Hwa Kim, Hyo Jung Kim, Joseph Yeo, KyoHee Chang, Seong Woo Sim, DoHoon Kim
Filed: 16 Aug 16
Utility
System and Method for Training a Neural Network for Visual Localization Based Upon Learning Objects-of-interest Dense Match Regression
18 Nov 20
A method for training, using a plurality of training images with corresponding six degrees of freedom camera pose for a given environment and a plurality of reference images, each reference image depicting an object-of-interest in the given environment and having a corresponding two-dimensional to three-dimensional correspondence for the given environment, a neural network to provide visual localization by: for each training image, detecting and segmenting object-of-interest in the training image; generating a set of two-dimensional to two-dimensional matches between the detected and segmented objects-of-interest and corresponding reference images; generating a set of two-dimensional to three-dimensional matches from the generated set of two-dimensional to two-dimensional matches and the two-dimensional to three-dimensional correspondences corresponding to the reference images; and determining localization, for each training image, by solving a perspective-n-point problem using the generated set of two-dimensional to three-dimensional matches.
Philippe Weinzaepfel, Gabriela Csurka, Yohann Gabon, Martin Humenberger
Filed: 15 May 19
Utility
Method and System for Information Providing Interface Based on New User Experience
18 Nov 20
Provided is a method and system for an information providing interface based on new user experience.
Jong Hyun LEE, Jong Ju LEE, Sungmin KIM, Kyung Hwa CHUNG, Yu-Kyung SEO
Filed: 13 Jan 20
Utility
Implicit Discourse Relation Classification with Contextualized Word Representation
18 Nov 20
A method includes: initializing a list of token embeddings, each of the token embeddings corresponding to a tokenized word from text in a corpus of text; generating a graph for a group of consecutive words s from the text, said graph including binary relations between pairs of tokenized words of the group of consecutive words; selecting the token embeddings representing the words of the group of consecutive words from the list of token embeddings; computing a tensor of binary relations as the product between a matrix of the selected token embeddings and a tensor representing discourse relations, the computed tensor representing the binary relations between the pairs of tokenized words; computing a loss using the computed tensor; optimizing the list of token embeddings using the computed loss.
Julien PEREZ, Eric Jacques Guy Gaussier, Diana Nicoleta Popa, James Henderson
Filed: 12 Mar 20
Utility
Training a Convolutional Neural Network for Image Retrieval with a Listwise Ranking Loss Function
28 Oct 20
A method of performing image retrieval includes: obtaining a query image; generating a global feature descriptor of the query image by inputting the query image into a convolutional neural network (CNN) and obtaining the global feature descriptor as an output of the CNN, where parameters of the CNN are learned during training of the CNN on a batch of training images using a listwise ranking loss function and optimizing a quantized mean average precision ranking evaluation metric; determining similarities between the query image and other images based on distances between the global feature descriptor of the query image and global feature descriptors of the other images, respectively; ranking the other images based on the similarities, respectively; and selecting a set of the other images based on the similarities between the query image and the other images.
Jérome REVAUD, Jon ALMAZAN, Cesar DE SOUZA, Rafael SAMPAIO DE REZENDE
Filed: 10 Feb 20
Utility
Method, apparatus, system, and non-transitory computer readable medium for chatting on mobile device using an external device
19 Oct 20
Disclosed is a method, apparatus, system, and/or non-transitory computer readable medium for chatting on a mobile device using an external device.
Jookwan Kim, Hongsup So
Filed: 6 Mar 18
Utility
Method and computer program for providing information with flight ticket search
19 Oct 20
A method for providing information related to a flight ticket search, and a user terminal, a server, and a computer program, which are related to the search method.
Ki Ho Song, Hae Rin Kim
Filed: 10 Dec 15
Utility
Distributed Transcoding Method and Distributed Transcoding System
7 Oct 20
A distributed transcoding method includes splitting image content into segments of a fixed interval; allocating the split segments to a plurality of workers and performing parallel transcoding; and concatenating the transcoded segments and merging same into one encoded file.
Kuenbaek PARK, Bong Sub KIM, Jae Hoon KIM, Seongcheol JO, Seungjin KIM, Seung Ha YANG
Filed: 26 May 20
Design
Earphone case
5 Oct 20
Young In Koh
Filed: 5 Feb 19
Utility
System and Method for Generating Pedestrian Tours
30 Sep 20
Generating a pedestrian tour includes: receiving a query from a user device via a network, the query indicative of a request for a pedestrian tour and including a location and preferences including a target length for the pedestrian tour; obtaining a graph of a geographical area around the location of the user device, the graph including nodes indicative of path crossings and arcs indicative of paths connecting pairs of the nodes; determining scores for the arcs based on characteristics of the arcs, respectively, and the preferences; selecting connecting ones of the arcs based on the scores of the connecting ones of the arcs, lengths of the selected connecting ones of the arcs, and the target length; adding the selected connecting ones of the arcs to the pedestrian tour to initialize the pedestrian tour; and transmitting the pedestrian tour to the user device via the network for display.
Sofia MICHEL, Stephane CLINCHANT, Christophe LEGRAS, Jutta WILLAMOWSKI
Filed: 20 Nov 19
Utility
Terminal device, server and method for displaying web page having dynamic object
28 Sep 20
A webpage display method performed by a terminal device includes displaying a webpage on a screen, receiving a selection by a user with respect to an image included in the webpage displayed on the screen, and displaying, on the screen, a dynamic object responsive to the user selection of the image.
Cheol Oh Park, Yu Jun Lee, Se Il Hwang, Dong Ho Jeon, Bo Hyun Kim, Ju An Hwang, Sung Mi Kim, Seon Young Jung
Filed: 7 Feb 17
Utility
Terminal Device, Server and Method for Displaying Webpage Having Dynamic Object
23 Sep 20
A webpage display method performed by a terminal device includes displaying a webpage on a screen, receiving a selection by a user with respect to an image included in the webpage displayed on the screen, and displaying, on the screen, a dynamic object responsive to the user selection of the image.
Cheol Oh Park, Yu Jun Lee, Se II Hwang, Dong Ho Jeon, Bo Hyun Kim, Ju An Hwang, Sung Mi Kim, Seon Young Jung
Filed: 7 Jun 20
Design
Artificial intelligence platform device
21 Sep 20
Young In Koh
Filed: 14 Sep 17