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ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 7 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
ICIP
2006
IEEE
16 years 3 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
CLEF
2004
Springer
15 years 6 months ago
ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval
This article describes the technologies used for the various runs submitted by the University of Geneva in the context of the 2004 ImageCLEF competition. As our expertise is mainly...
Henning Müller, Antoine Geissbühler, Pat...
CIKM
2007
Springer
15 years 5 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai