Image retrieval based on visual information concepts and automatic image annotation

Paper


Ly, Quoc Ngoc, Duong, Anh Doc, Duong, Thach Thao and Ngo, Duc Thanh. 2006. "Image retrieval based on visual information concepts and automatic image annotation." Duc, Duong Anh, Dong, Thuy Thi Bich, Ho, Tu-Bao and Nguyen, Dinh Thuc (ed.) 1st International Conference on Theories and Applications of Computer Science (ICTACS 2006). Ho Chi Minh City, Vietnam 03 - 05 Aug 2006 United States. https://doi.org/10.1142/9789812772671_0006
Paper/Presentation Title

Image retrieval based on visual information concepts and automatic image annotation

Presentation TypePaper
AuthorsLy, Quoc Ngoc (Author), Duong, Anh Doc (Author), Duong, Thach Thao (Author) and Ngo, Duc Thanh (Author)
EditorsDuc, Duong Anh, Dong, Thuy Thi Bich, Ho, Tu-Bao and Nguyen, Dinh Thuc
Journal or Proceedings TitleProceedings of the 1st International Conference on Theories and Applications of Computer Science (ICTACS 2006)
Number of Pages13
Year2006
Place of PublicationUnited States
ISBN9789812700636
9789812772671
Digital Object Identifier (DOI)https://doi.org/10.1142/9789812772671_0006
Web Address (URL) of Paperhttps://www.worldscientific.com/doi/abs/10.1142/9789812772671_0007
Conference/Event1st International Conference on Theories and Applications of Computer Science (ICTACS 2006)
Event Details
1st International Conference on Theories and Applications of Computer Science (ICTACS 2006)
Event Date
03 to end of 05 Aug 2006
Event Location
Ho Chi Minh City, Vietnam
Abstract

Nowadays, we are living in the content-based image retrieval (CBIR) age. The users would like to give the semantic queries, but the semantic understanding of images remains an important research challenge for the image and video retrieval community. We have approached the CBIR at semantics level by using visual information concepts (VIC) and automatic image annotation (AIA). We have linked the semantic concepts to the image at two levels, the common level and the private level. In the common level, we used the VIC and linking automatically VIC to image data based on the priori knowledge. In the private level, we performed the AIA based on the cross-media relevance model with some improvements. The content image retrieval process is based on the comparison of the intermediate descriptor values in VIC associated with both the semantic data and the image data. Irrelevant images are rejected and the remaining images are ranked by AIA. Our experiment results have shown that the performance of our system is better in the meanings of precision and recall than the traditional systems only based query images or only based on VIC or AIA.

KeywordsVisual information; image retrieval
ANZSRC Field of Research 2020460304. Computer vision
Byline AffiliationsVietnam National University, Vietnam
Institution of OriginUniversity of Southern Queensland
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https://research.usq.edu.au/item/q7128/image-retrieval-based-on-visual-information-concepts-and-automatic-image-annotation

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