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MM
2009
ACM
230views Multimedia» more  MM 2009»
14 years 4 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
MIS
2001
Springer
151views Multimedia» more  MIS 2001»
14 years 2 months ago
A Data Model for Querying Wavelet Features in Image Databases
Multimedia databases deal with storage and retrieval of complex descriptors of image contents, called features. Traditional techniques consider features as “black boxes,” ofte...
Simone Santini, Amarnath Gupta
DASFAA
2010
IEEE
189views Database» more  DASFAA 2010»
14 years 3 months ago
Peer-to-Peer Similarity Search Based on M-Tree Indexing
Similarity search in metric spaces has several important applications both in centralized and distributed environments. In centralized applications, such as similarity-based image ...
Akrivi Vlachou, Christos Doulkeridis, Yannis Kotid...
ICMCS
2000
IEEE
137views Multimedia» more  ICMCS 2000»
14 years 2 months ago
Automatic Query Generation for Content-Based Image Retrieval
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Christian Breiteneder, Horst Eidenberger
CLEF
2007
Springer
14 years 4 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...