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» Using Linguistic Models for Image Retrieval
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CLEF
2007
Springer
14 years 1 months ago
Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007
This paper summarizes our empirical study of cross-language and cross-media image retrieval at the CLEF image retrieval track (ImageCLEF2007). In this year, we participated in the ...
Steven C. H. Hoi
ISBI
2009
IEEE
14 years 2 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
ICASSP
2011
IEEE
12 years 11 months ago
How to perform texture recognition from stochastic modeling in the wavelet domain
The paper addresses content-based image retrieval from texture databases, by using stochastic modeling in the wavelet domain. It proposes an analysis of the key parameters involve...
Abdourrahmane M. Atto, Yannick Berthoumieu
CLEF
2005
Springer
14 years 1 months ago
Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations
When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retriev...
Masashi Inoue
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen