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Scenery image retrieval by meta-feature representation
Chih Fong Tsai
, Wei Chao Lin
Department of Information Management
Research output
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Contribution to journal
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peer-review
Overview
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Dive into the research topics of 'Scenery image retrieval by meta-feature representation'. Together they form a unique fingerprint.
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Keyphrases
Image Retrieval
100%
Feature Representation
100%
Scenery Image
100%
Meta-features
100%
Visual Features
33%
Low-level Visual Features
33%
Design Methodology
16%
Content-based Image Retrieval
16%
Low-level Features
16%
Class-specific
16%
Feature Extracting
16%
Class Center
16%
Experiment-based
16%
Discriminatory Power
16%
Image Content
16%
Higher-level Concept
16%
Mean Average Precision
16%
Image Semantics
16%
Image Descriptors
16%
Feature Representation Methods
16%
Contextual Features
16%
Bag of Words Feature
16%
Semantic Gap Problem
16%
Global Image Feature
16%
Local Visual Features
16%
Corel Database
16%
Computer Science
Visual Feature
100%
Image Retrieval
100%
Extracted Feature
33%
image feature
33%
Content-based image retrieval
33%
Semantic Image
33%
Representation Method
33%
Discriminative Power
33%
Image Content
33%
Level Visual Feature
33%
Mean Average Precision
33%
semantic gap
33%
Information Retrieval
33%