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ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
ICIP
2000
IEEE
14 years 9 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold
CIKM
2010
Springer
13 years 6 months ago
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us t...
Barbara Poblete, Benjamin Bustos, Marcelo Mendoza,...
MMS
2007
13 years 7 months ago
Modeling user context with applications to media retrieval
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Ankur Mani, Hari Sundaram
SIGIR
2012
ACM
11 years 10 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin