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MTA
2002
166views more  MTA 2002»
14 years 9 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
PG
2003
IEEE
15 years 2 months ago
Non-Photorealistic Rendering and Content-Based Image Retrieval
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Xiaowen Ji, Zoltan Kato, Zhiyong Huang
SISAP
2009
IEEE
156views Data Mining» more  SISAP 2009»
15 years 4 months ago
Text-Based and Content-Based Image Retrieval on Flickr: DEMO
—We present an image retrieval system based on a combined search of text and content. The idea is to use the text present in title, description, and tags of the images for improv...
Juan Manuel Barrios, Diego Diaz-Espinoza, Benjamin...
96
Voted
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 3 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
86
Voted
AIRS
2008
Springer
14 years 11 months ago
Comparing Dissimilarity Measures for Content-Based Image Retrieval
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...
Haiming Liu 0002, Dawei Song, Stefan M. Rüger...