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ICASSP
2007
IEEE
14 years 2 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
CIVR
2004
Springer
141views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Natural Scene Retrieval Based on a Semantic Modeling Step
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...
Julia Vogel, Bernt Schiele
ICIP
2001
IEEE
14 years 9 months ago
Similarity matching of arbitrarily shaped video by still shape features and shape deformations
The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video...
Berna Erol, Faouzi Kossentini
SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...
CIVR
2004
Springer
138views Image Analysis» more  CIVR 2004»
14 years 1 months ago
What's News, What's Not? Associating News Videos with Words
Text retrieval from broadcast news video is unsatisfactory, because a transcript word frequently does not directly ‘describe’ the shot when it was spoken. Extending the retriev...
Pinar Duygulu, Alexander G. Hauptmann