NDLI: Cross-media Hot Topic Auto-tracking Model Based on Semantics and Temporal Context

Content Provider	IET Digital Library
Author	Liang, Meiyu Du, Junping Zhou, Yipeng
Abstract	As the Internet multimedia information grows explosively, seeking an automatic technology to realize the effective organization and management of crossmedia emergency information is significantly necessary. A novel cross-media hot topic auto-tracking model based on semantics and temporal context is proposed in this paper. According to the semantic correlations of cross-media information, we learn the image visual semantics by the text semantics based on the Latent Dirichlet Allocation probability model, and establish the unified cross-media information description on the same semantic level. Also a semantics-based two-step feature dimension-reduction scheme is proposed to establish the efficient semantic feature space. The self-adaptive learning of topic model is realized to track the dynamic changes in the topic. Experimental results demonstrate that the proposed method outperforms the existing methods, which further improves the effect of hot topic auto-tracking.
Starting Page	529
Ending Page	534
Page Count	6
ISSN	10224653
Volume Number	24
e-ISSN	20755597
Issue Number	Issue 3, Jul (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/24/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2015.07.016
Journal	Chinese Journal of Electronics
Publisher Date	2015-07-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Automatic Technology Cross Media Emergency Information Cross Media Hot Topic Autotracking Model Emergency Management Image Visual Semantics Information Network Internet Internet Multimedia Information Latent Dirichlet Allocation Probability Model Multimedia Multimedia Computing Self-adaptive Learning Semantic Correlations Semantic Feature Space Semantics Context Temporal Context Unified Cross Media Information Description
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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