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dc.contributor.advisor 김민수 -
dc.contributor.author Sanghyeon Lee -
dc.date.accessioned 2019-10-02T16:03:37Z -
dc.date.available 2019-10-02T16:03:37Z -
dc.date.issued 2019 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000171479 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/10739 -
dc.description.statementofresponsibility prohibition -
dc.description.tableofcontents Ⅰ. INTRODUCTION·························································································· 1
ⅠⅠ. BACKGROUND························································································ 4
2.1 LMDB ···································································································· 4
2.2 Apache Kafka························································································· 5
ⅠⅠⅠ. MULTIMODAL DATA MANAGEMENT SYSTEM···································· 6
3.1 Batch and stream data ··········································································· 6
3.2 Batch and stream processing ································································· 7
ⅠV. MULTIMODAL DATA MANAGEMENT METHOD······································· 9
4.1 MDF ········································································································ 9
4.2 RID Table ······························································································ 11
4.3 Image MDF ·························································································· 13
4.4 Relational MDF ····················································································· 14
V. STREAM PROCESSING FOR DEEP LEARNING··············································· 16
5.1 Stream platform ····················································································· 17
5.2 Stream processing method ····································································· 18
5.3 Stream processing module ····································································· 20
VⅠ. EXPERIMENTS·························································································· 22
6.1 Experimental setup················································································· 22
6.2 Data conversion······················································································ 22
6.3 Stream processing for deep learning······················································· 24
6.3.1 Surveillance and drama video data··················································· 25
6.3.2 Surveillance data with noise images················································· 26
6.3.3 Unrelated video consisting of MasterCOCO dataset······························· 27
VⅠⅠ. CONCLUSION AND FUTURE WORK························································ 28
VⅠⅠⅠ. REFERENCE························································································· 29
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dc.format.extent 32 -
dc.language eng -
dc.publisher DGIST -
dc.source /home/dspace/dspace53/upload/200000171479.pdf -
dc.title Multimodal Data Management in Disks and Main Memory for Deep Learning -
dc.title.alternative 디스크 및 메인 메모리에서 딥러닝을 위한 멀티모달 데이터 관리 -
dc.type Thesis -
dc.identifier.doi 10.22699/thesis.200000171479 -
dc.description.degree MASTER -
dc.contributor.department Information and Communication Engineering -
dc.contributor.coadvisor Dooseok Lee -
dc.date.awarded 2019-02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 이52 201902 -
dc.date.accepted 2019-01-30 -
dc.contributor.alternativeDepartment 정보통신융합전공 -
dc.embargo.liftdate 2021-02-01 -
dc.contributor.affiliatedAuthor Lee, Dooseok -
dc.contributor.affiliatedAuthor Lee, Sanghyeon -
dc.contributor.affiliatedAuthor Kim, Min-Soo -
dc.contributor.alternativeName 이상현 -
dc.contributor.alternativeName 이두석 -
dc.contributor.alternativeName Min-Soo Kim -
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Department of Electrical Engineering and Computer Science Theses Master

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