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CIKM
2007
Springer
13 years 8 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
CIKM
2008
Springer
13 years 6 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella
MM
2003
ACM
116views Multimedia» more  MM 2003»
13 years 10 months ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...
Rong Yan, Alexander G. Hauptmann, Rong Jin
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
13 years 11 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
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
13 years 11 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang