Korea University Research and Business Foundation

Samsung Electronics Co., Ltd.

Vmark, Inc.

Sanghoon Sull

Yuntae Kim

Hongseok Lee

Geeyoung Sung

Myungjae Jeon

Seongwook Yoon

Hyeokman Kim

Jaehyun Kim

Donghoon Sagong

Hojin Ju

Jaehwan Pi

Heejeong Lim

Ja-Cheon Yoon

Min Gyo Chung

Jung Rim Kim

Hyungseok Choi

Soonhong Jung

Junsic Youn

Sungjoo Suh

Seong Soo Chun

An apparatus for estimating an uncertainty includes a processor configured to receive a first tracking coordinate corresponding to a reference coordinate, the reference coordinate being included in first image data acquired by a camera sensor, the first tracking coordinate including an image-based tracking coordinate in second image data acquired after the first image data; acquire, based on motion data acquired from a motion sensor and a depth value of the first image data, a second tracking coordinate corresponding to the reference coordinate, the second tracking coordinate including a motion-based tracking coordinate in the second image data; calculate a target coordinate distribution in the second image data based on the first tracking coordinate and the second tracking coordinate; acquire an estimated target coordinate and an uncertainty of the estimated target coordinate based on the calculated target coordinate distribution; and update the first tracking coordinate based on the estimated target coordinate.

Apparatus and method for estimating uncertainty of image coordinate

An augmented reality (AR) device and a method of predicting a pose in the AR device is provided. In the augmented reality (AR) device inertial measurement unit (IMU) values corresponding to the movement of the AR device are obtained at an IMU rate, intermediate 6-degrees of freedom (6D) poses of the AR device are estimated based on the IMU values and images around the AR device via a visual-inertial simultaneous localization and mapping (VI-SLAM) module, and a pose prediction model for predicting relative 6D poses of the AR device is generated by performing learning by using a deep neural network.

Augmented reality (AR) device and method of predicting pose therein

A method of obtaining and imputing missing data and a measurement system having the same are disclosed. The method includes obtaining measurement values of measurement variables, among z variables corresponding to z components of a measurement object, wherein z is a natural number greater than 1, and the z variables of the measurement object include measurement variables and missing variables which are not measured, and the measurement variables are of an amount less than z; generating missing data having the measurement variables with the measurement values and the missing variables with missing values in the z components, wherein each of the missing values is predetermined value indicating that a missing variable has not been measured; generating k pieces of final imputation data having k final imputation values, by using the missing data, wherein k is a natural number greater than 1, each of the k final imputation values are in the z components, and using the missing data includes performing multiple imputations on the missing data; and generating average data having average component values in the z components, wherein each of the average component values in a component is an average value of the k final imputation values of the k pieces of final imputation data in the component, and selecting, in each of the z components, a next measurement variable, wherein a difference value between a final imputation values and an average component value, of the next measurement variable, is larger than a difference value of the missing variables.

Method of obtaining and imputing missing data and measurement system using the same

An electronic device includes a memory storing a plurality of motion prediction models, and a processor configured to estimate a current pose of the electronic device based on external data; predict a first motion of the electronic device at a future first prediction time through a first model in which the plurality of motion prediction models are combined for the future first prediction time, and calculate a first pose of the electronic device at the first prediction time based on the current pose and the first motion; and predict a second motion of the electronic device at a future second prediction time through a second model in which the plurality of motion prediction models are combined for the future second prediction time, and calculate a second pose of the electronic device at the second prediction time based on the first pose and the second motion.

Electronic device for predicting pose and operating method thereof

A method for detecting lanes on the road is disclosed. The method including: a phase that generates at least one spatiotemporal image by storing along the time axis at least one line image that contains pixels corresponding to at least one horizontal line established in a road video; a phase that detects, in lane patterns contained in each of the at least one spatiotemporal image, two or more lane points that correspond to the present moment; and a phase that detects lanes by tracing the two or more lane points over time in each of the at least one spatiotemporal image.

Method and apparatus for detecting lane of road

A method and system are provided for tagging, indexing, searching, retrieving, manipulating, and editing video images on a wide area network such as the Internet. A first set of methods is provided for enabling users to add bookmarks to multimedia files, such as movies, and audio files, such as music. The multimedia bookmark facilitates the searching of portions or segments of multimedia files, particularly when used in conjunction with a search engine. Additional methods are provided that reformat a video image for use on a variety of devices that have a wide range of resolutions by selecting some material (in the case of smaller resolutions) or more material (in the case of larger resolutions) from the same multimedia file. Still more methods are provided for interrogating images that contain textual information (in graphical form) so that the text may be copied to a tag or bookmark that can itself be indexed and searched to facilitate later retrieval via a search engine.

System and method for indexing, searching, identifying, and editing multimedia files

System and method for indexing, searching, identifying, and editing portions of electronic multimedia files

Techniques for fast indexing of live video broadcasts are provided which incorporate both efficient manual processing and automatic indexing steps to generate semantically meaningful and practically usable highlight hierarchy of broadcast television programs in real-time. In one technique, a list of predefined keywords is provided, describing the highlights, and the manual marking process can be implemented by just a few mouse clicks. A technique is provided for grouping highlights into a semantic hierarchy in real-time. A technique is provided for efficiently generating highlight metadata on live broadcast programs, using a coarse-to-fine indexing methodology in order for a operator to quickly generate highlight summaries of live broadcast programs.

Method and apparatus for fast metadata generation, delivery and access for live broadcast program

Methods for fast generating spatially reduced-size images directly from compressed video streams supporting the coding of interlaced frames through transform coding and motion compensation. A sequence of reduced-size images are rapidly generated from compressed video streams by efficiently combining the steps of inverse transform, down-sampling and construction of each field image. The construction of reduced-size field images also allows the efficient motion compensation. The fast generation of reduced-size images is applicable to a variety of low-cost applications such as video browsing, video summary, fast thumbnail playback and video indexing.

Rapid production of reduced-size images from compressed video streams

Growing community of inventors

Seoul, South Korea

Sanghoon Sull