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» An active feedback framework for image retrieval
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ICIP
2003
IEEE
14 years 9 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
CIVR
2006
Springer
141views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Context-Aware Media Retrieval
In this paper we propose a representation framework for dynamic multi-sensory knowledge and user context, and its application in media retrieval. We provide a definition of context...
Ankur Mani, Hari Sundaram
KES
2005
Springer
14 years 26 days ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
MMM
2003
Springer
136views Multimedia» more  MMM 2003»
14 years 19 days ago
Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval ap...
Jun Yang 0003, Qing Li, Yueting Zhuang
CVPR
2010
IEEE
14 years 1 months ago
Image Retrieval via Probabilistic Hypergraph Ranking
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
Yuchi Huang, Qingshan Liu, Shaoting Zhang, Metaxas...