EBIR: Emotion-based image retrieval

For content-based image retrieval, human emotions as well as object information provide important clue to search images. Accordingly, this paper presents a new retrieval system that indexes images using human emotion and searches them. Our system was tested with 1,300 textile images, then the result...

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Bibliographic Details
Main Authors: Youngrae Kim, Yunhee Shin, So-jung Kim, Eun Yi Kim, Hyoseop Shin
Format: Conference Proceeding
Language:English
Subjects:
Content based retrieval
Emotion recognition
Feature extraction
Humans
Image retrieval
Indexing
Information retrieval
Pattern recognition
System testing
Textile technology
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Description
Summary:For content-based image retrieval, human emotions as well as object information provide important clue to search images. Accordingly, this paper presents a new retrieval system that indexes images using human emotion and searches them. Our system was tested with 1,300 textile images, then the results demonstrate the effectiveness of our system.
ISSN:2158-3994
2158-4001
DOI:10.1109/ICCE.2009.5012346