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ICIP
2000
IEEE
14 years 9 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
MMM
2010
Springer
151views Multimedia» more  MMM 2010»
14 years 4 months ago
Scene Location Guide by Image-Based Retrieval
In this paper, we propose a new image-based algorithm to identify where a tourist is when visiting unfamiliar places. When the tourist takes a photo of an unfamiliar place, our alg...
I-Hong Jhuo, Tsuhan Chen, D. T. Lee
ICIAR
2004
Springer
14 years 27 days ago
CVPIC Compressed Domain Image Retrieval by Colour and Shape
Image retrieval and image compression have been pursued separately in the past. Only little research has been conducted on a synthesis of the two by allowing image retrieval to be ...
Gerald Schaefer, Simon Lieutaud
ICIAR
2007
Springer
14 years 1 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
ICIP
2006
IEEE
14 years 9 months ago
CBIR in Distributed Databases using a Multi-Agent System
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural" distribution of these data over the network. Hence, we in...
David Picard, Matthieu Cord, Arnaud Revel