Accurate Online Video Tagging via Probabilistic Hybrid Modeling

Accurate Online Video Tagging via Probabilistic Hybrid Modeling

Accurate video tagging has been becoming increasingly crucial for online video management and search. This article documents a novel framework called comprehensive video tagger (CVTagger) to facilitate accurate tag-based video annotation. The system applies both multimodal and temporal properties co...

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Bibliographic Details
Main Authors: SHEN, Jialie, WANG, Meng, CHUA, Tat-Seng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Online video
Social multimedia
Tagging
Computer Sciences
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/2457
https://ink.library.smu.edu.sg/context/sis_research/article/3456/viewcontent/CVTagger_MMS_2016_pp.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/2457
https://ink.library.smu.edu.sg/context/sis_research/article/3456/viewcontent/CVTagger_MMS_2016_pp.pdf

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