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» Evaluating Image Retrieval
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ICIAP
1995
ACM
13 years 11 months ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 1 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Retrieving Web Images to Enrich Music Representation
Audiovisual media which integrates visual media with audio to enrich music representation, such as music video (MV) or music slideshow, is now more welcome than only audio. In thi...
Zhi-Kun Wang, Rui Cai, Lei Zhang, Yu Zheng, Jian-M...
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...
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 6 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...