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» Evaluating Image Retrieval
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153
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ICIP
2000
IEEE
16 years 6 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
136
Voted
MMM
2010
Springer
151views Multimedia» more  MMM 2010»
16 years 1 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
2007
Springer
15 years 10 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
CLEF
2007
Springer
15 years 10 months ago
Hindi to English and Marathi to English Cross Language Information Retrieval Evaluation
In this paper, we present our Hindi to English and Marathi to English CLIR systems developed as part of our participation in the CLEF 2007 Ad-Hoc Bilingual task. We take a query tr...
Manoj Kumar Chinnakotla, Sagar Ranadive, Om P. Dam...
126
Voted
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 10 months ago
A Measure for Evaluating Retrieval Techniques based on Partially Ordered Ground Truth Lists
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. I...
Rainer Typke, Remco C. Veltkamp, Frans Wiering