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ECIR
2009
Springer
15 years 6 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
CLEF
2010
Springer
14 years 10 months ago
DAEDALUS at ImageCLEF Wikipedia Retrieval 2010: Expanding with Semantic Information from Context
This paper describes the participation of DAEDALUS at the ImageCLEF 2010 Wikipedia Retrieval task. The main focus of our experiments is to evaluate the impact in the image retrieva...
Sara Lana-Serrano, Julio Villena-Román, Jos...
CHI
2008
ACM
15 years 10 months ago
MQSearch: image search by multi-class query
Image search is becoming prevalent in web search as the number of digital photos grows exponentially on the internet. For a successful image search system, removing outliers in th...
Yiwen Luo, Wei Liu, Jianzhuang Liu, Xiaoou Tang
CIKM
2003
Springer
15 years 2 months ago
Visual structures for image browsing
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Databa...
Ricardo da Silva Torres, Celmar G. Silva, Claudia ...
CLEF
2008
Springer
14 years 11 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...