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CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 7 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
VISUAL
1999
Springer
15 years 5 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
ICIP
2000
IEEE
16 years 3 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
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
15 years 6 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
AMR
2006
Springer
119views Multimedia» more  AMR 2006»
15 years 3 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa...