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Feature extraction & content description II
Published on Feb 4, 20257147 Views
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Presentation
SEMANTIC FEATURES00:01
Organization01:40
FROM DATA TO DATA+METADATA05:42
Media ontent Management07:47
Trends10:48
Confluence of Statistical Analysis & Knowledge-based Inference16:52
Challenges in Semantic Video Management24:16
MULTIMEDIA SEMANTICS: The JIGSAW PUZZLE28:28
Challenges of Multimedia Learning28:50
Concept modeling and Detecting37:24
Value Proposition38:44
Semantics Concept Ontology42:27
Coverage of Automation44:27
Learning Multimedia Semantics46:46
The Landscape of Multimedia Semantic Features Extraction48:00
Supervised Learning50:17
Popular Modeling Approaches50:25
Number of Training Samples and Performance Comparison52:44
Maximum Entropy Approach for Concept detection w/o regional annotation53:41
Hidden Markov Models for Event Modeling55:59
Multi-Modality/ Multi-Concept Fusion Methods56:31
Multimodal Fusion Hierarchical hidden Markov models59:00
Multimodal Fusion Duration density input output Markov model59:37
Performance Comparison for Event Detection01:00:25
Modeling and Enforcing Semantic Context: Nutshell01:00:44