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» A two-level relevance feedback mechanism for image retrieval
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105
Voted
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 5 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
MM
2003
ACM
116views Multimedia» more  MM 2003»
15 years 5 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
CVPR
2001
IEEE
16 years 1 months ago
Adaptive Quasiconformal Kernel Metric for Image Retrieval
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
118
Voted
CIVR
2006
Springer
141views Image Analysis» more  CIVR 2006»
15 years 3 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
CVPR
2004
IEEE
15 years 3 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp