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公开(公告)号:US10560731B2
公开(公告)日:2020-02-11
申请号:US15924637
申请日:2018-03-19
Inventor: Dong Su Han , Hyun Ho Yeo , Seong Hyeon Do
IPC: H04N21/25 , G06K9/66 , H04N21/2343 , G06K9/00 , H04N21/61 , H04N21/2668 , G06K9/62 , G06K9/46
Abstract: The present disclosure provides a method and a server apparatus for delivering content based on content-aware using a neural network. A server apparatus for content delivery is provided, including a content clustering unit for clustering multiple contents provided from a content provider based on a similarity; a training unit for training a cluster-wise content reconstruction model by using contents contained in each cluster in accordance with a result of clustering performed by the content clustering unit; a storage unit for storing the multiple contents and the cluster-wise content reconstruction model; and a transmission unit for transmitting content requested by a user and a content reconstruction model corresponding to a cluster containing the content requested to a user terminal.
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公开(公告)号:US11877018B2
公开(公告)日:2024-01-16
申请号:US17265680
申请日:2020-11-05
Inventor: Dong Su Han , Jae Hong Kim , Young Mok Jung , Hyun Ho Yeo
IPC: H04N21/2343 , H04N21/2187 , H04N21/2385 , H04N21/25
CPC classification number: H04N21/234363 , H04N21/2187 , H04N21/2385 , H04N21/251
Abstract: The present disclosure in some embodiments provides a system for and a method of providing a live video in real-time by transmitting the live video and patches which are a fraction of a frame of the live video by allocating and using bandwidth for transmitting the live video and bandwidth for transmitting the patches, respectively, and by subjecting, based on the patches, a deep neural network-based super-resolution model to online learning and thereby super-resolution processing the live video into a super-resolution live video.
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公开(公告)号:US10650277B2
公开(公告)日:2020-05-12
申请号:US15789361
申请日:2017-10-20
Applicant: CENTER FOR INTEGRATED SMART SENSORS FOUNDATION , KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (KAIST)
Inventor: Dong Su Han , Jin Woo Shin , Byeok San Lee , Jin Young Yang
Abstract: The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data. In consequence, it is capable of setting a specific event to be detected by an apparatus for training a learning system by a user after a system is installed, and it is possible to train a learning system sustainably and sufficiently regarding a specific event and achieve a high accuracy of training the learning system.
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