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ESWA
2008
173views more  ESWA 2008»
13 years 4 months ago
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
Hsin-Chang Yang, Chung-Hong Lee
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
13 years 9 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
CIVR
2005
Springer
183views Image Analysis» more  CIVR 2005»
13 years 9 months ago
Semantic Annotation of Image Groups with Self-organizing Maps
Automatic image annotation has attracted a lot of attention recently as a method for facilitating semantic indexing and text-based retrieval of visual content. In this paper, we pr...
Markus Koskela, Jorma Laaksonen
ICDE
2008
IEEE
241views Database» more  ICDE 2008»
14 years 5 months ago
PictureBook: A Text-and-Image Summary System for Web Search Result
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfa...
Baile Shi, Guoyu Hao, Hongtao Xu, Mei Wang, Qi Zha...
MM
2005
ACM
158views Multimedia» more  MM 2005»
13 years 10 months ago
Semantic knowledge extraction and annotation for web images
Nowadays, images have become widely available on the World Wide Web (WWW). It’s essential to develop effective ways for managing and retrieving such abundant images. Advantageou...
Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing...