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» Lightweight web image reranking
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MM
2009
ACM
137views Multimedia» more  MM 2009»
13 years 11 months ago
Lightweight web image reranking
Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image pro...
Adrian Popescu, Pierre-Alain Moëllic, Ioannis...
ICPR
2008
IEEE
13 years 11 months ago
Re-ranking of web image search results using a graph algorithm
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks ...
Hilal Zitouni, Sare Gul Sevil, Derya Ozkan, Pinar ...
WWW
2009
ACM
14 years 5 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
CVPR
2011
IEEE
12 years 12 months ago
Noise Resistant Graph Ranking for Improved Web Image Search
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...
Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang
CIKM
2010
Springer
13 years 3 months ago
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us t...
Barbara Poblete, Benjamin Bustos, Marcelo Mendoza,...